Christopher G. Chute

Active 1985–2025

Also published as
Christopher G Chute · CHRISTOPHER G. CHUTE
380
Papers
29,474
Citations
86
h-index
239
i10-index

Citations

Citations per year for Christopher G. Chute1968: 2 citations1970: 1 citations1977: 11 citations1985: 2 citations1987: 1 citations1988: 10 citations1989: 6 citations1990: 5 citations1991: 12 citations1992: 13 citations1993: 35 citations1994: 27 citations1995: 63 citations1996: 60 citations1997: 50 citations1998: 87 citations1999: 106 citations2000: 98 citations2001: 104 citations2002: 96 citations2003: 115 citations2004: 105 citations2005: 137 citations2006: 150 citations2007: 146 citations2008: 190 citations2009: 162 citations2010: 235 citations2011: 311 citations2012: 501 citations2013: 641 citations2014: 708 citations2015: 652 citations2016: 793 citations2017: 686 citations2018: 598 citations2019: 992 citations2020: 822 citations2021: 868 citations2022: 1,035 citations2023: 891 citations2024: 1,131 citations2025: 704 citations2026: 84 citations1969: no citations, so this year is not shown1971–1976: no citations, so these years are not shown1978–1984: no citations, so these years are not shown1986: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 5,845 citing papers, 37% of this breakdownUnited Kingdom: 1,201 citing papers, 7.6% of this breakdownChina: 758 citing papers, 4.8% of this breakdownGermany: 703 citing papers, 4.5% of this breakdownCanada: 555 citing papers, 3.5% of this breakdownFrance: 467 citing papers, 3% of this breakdownItaly: 452 citing papers, 2.9% of this breakdownAustralia: 445 citing papers, 2.8% of this breakdownNetherlands: 443 citing papers, 2.8% of this breakdownSpain: 432 citing papers, 2.7% of this breakdownSweden: 255 citing papers, 1.6% of this breakdownJapan: 248 citing papers, 1.6% of this breakdown
0%37%Other 25.2%

Fields

  • Biochemistry, Genetics and Molecular Biology31.3%
  • Medicine29.8%
  • Computer Science22.9%
  • Health Professions5.4%
  • Pharmacology, Toxicology and Pharmaceutics2%
  • Decision Sciences1.4%
  • Other7.2%

Topics

  • Biomedical Text Mining and Ontologies11%
  • Topic Modeling5.3%
  • Semantic Web and Ontologies4.4%
  • Machine Learning in Healthcare4.2%
  • Electronic Health Records Systems3.1%
  • Natural Language Processing Techniques3%
  • Other69%

Coauthors

All papers

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  1. The Human Phenotype Ontology in 2021

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , David Lagorce, Julie A. McMurry, Jillian A. Miller, Monica C. Munoz-Torres, Rebecca L. Peters, Christina K. Rapp, Ana Rath, Shahmir A. Rind, Avi Z. Rosenberg, Michael M. Segal, Markus G. Seidel, Damian Smedley, Tomer Talmy, Yarlalu Thomas, Samuel A. Wiafe, Julie Xian, Zafer Yüksel, Ingo Helbig, Christopher J. Mungall, Melissa A. Haendel, Peter N. Robinson - Nucleic Acids Research, Nucleic Acids Res. 2020 cited by 1,240

  2. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications

    Authors: , , , , , , - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2010 cited by 2,017

  3. ICD-11: an international classification of diseases for the twenty-first century

    Authors: , , , - BMC Medical Informatics and Decision Making, BMC Medical Informatics Decis. Mak. 2021 cited by 535

  4. The Human Phenotype Ontology in 2024: phenotypes around the world

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Maud de Dieuleveult, Vinícius de Souza, Bert B.A. de Vries, Esther de Vries, J. Raymond DePaulo, Beáta Dérfalvi, Ferdinand Dhombres, Claudia Diaz‐Byrd, Alexander J.M. Dingemans, Bruno Donadille, Michael Duyzend, Reem Elfeky, Shahim Essaid, Carolina Fabrizzi, Giovanna Fico, Helen V. Firth, Yun Freudenberg‐Hua, Janice M. Fullerton, Davera Gabriel, Kimberly Gilmour, Jessica L. Giordano, Fernando S. Goes, Rachel Gore Moses, Ian Green, Matthias Griese, Tudor Groza, Weihong Gu, Julia Guthrie, Benjamin M. Gyori, Ada Hamosh, Marc Hanauer, Kateřina Hanušová, Yongqun He, Harshad Hegde, Ingo Helbig, Kateřina Holasová, Charles Tapley Hoyt, Shangzhi Huang, Eric Hurwitz, Julius O.B. Jacobsen, Xiaofeng Jiang, Lisa Joseph, Kamyar Keramatian, Bryan King, Katrin Knoflach, David A. Koolen, Megan L Kraus, Carlo Kroll, Maaike Kusters, Markus S. Ladewig, David Lagorce, Meng‐Chuan Lai, Pablo Lapunzina, Bryan Laraway, David Lewis‐Smith, Xiarong Li, Caterina Lucano, Marzieh Majd, Mary L. Marazita, Víctor Martínez‐Glez, Toby H McHenry, Melvin G. McInnis, Julie A. McMurry, Michaela Mihulová, Caitlin E. Millett, Philip B. Mitchell, Veronika Moslerová, Kenji Narutomi, Shahrzad Nematollahi, Julián Nevado and 76 more - Nucleic Acids Research 2023 cited by 375

  5. The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Adam M. Lee, Harold P. Lehmann, Lora Lingrey, Robert T. Miller, Michele Morris, Shawn N. Murphy, Karthik Natarajan, Matvey B. Palchuk, Usman Sheikh, Harold Solbrig, Shyam Visweswaran, Anita Walden, Kellie M. Walters, Griffin M. Weber, Xiaohan Tanner Zhang, Richard L. Zhu, Benjamin R. C. Amor, Andrew T. Girvin, Amin Manna, Nabeel Qureshi, Michael G. Kurilla, Sam G. Michael, Lili M. Portilla, Joni L. Rutter, Christopher P. Austin, Kenneth R. Gersing - Journal of the American Medical Informatics Association, J. Am. Medical Informatics Assoc. 2020 cited by 588

  6. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Catherine A. McCarty, Iftikhar J. Kullo, Jonathan L. Haines, Dana C. Crawford, Daniel R. Masys, Dan M. Roden - Nature Biotechnology 2013 cited by 1,126

  7. Identifying who has long COVID in the USA: a machine learning approach using N3C data

    Authors: , , , , , , , , , , , , , , , , , , , , , , - The Lancet Digital Health 2022 cited by 272

  8. Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Communications 2023 cited by 132

  9. The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Marc S. Williams - Genetics in Medicine 2013 cited by 739

  10. Mondo: Unifying diseases for the world, by the world

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Charles Tapley Hoyt, Megan Kane, Sebastian Köhler, David Lagorce, Abbe Lai, Martin Larralde, Antonia Lock, Irene López Santiago, Donna Maglott, Adriana J Malheiro, Birgit Meldal, Mónica Muñoz-Torres, Tristan Nelson, F. W. Nicholas, David Ochoa, Daniel Olson, Tudor I. Oprea, David Osumi-Sutherland, Helen Parkinson, Zoë May Pendlington, Ana Rath, Heidi L. Rehm, Lyubov Remennik, Erin Rooney Riggs, Paola Roncaglia, Justyne Ross, Marion Shadbolt, Kent Shefchek, Morgan Similuk, Nicholas Sioutos, Damian Smedley, Rachel Sparks, Ray Stefancsik, Ralf Stephan, Andrea L. Storm, Doron Stupp, Gregory S. Stupp, Jagadish Chandrabose Sundaramurthi, Imke Tammen, D. K. C. Tay, Courtney Thaxton, Eloise Valasek, Jordi Valls-Margarit, Alex H. Wagner, Danielle Welter, Patricia L. Whetzel, Lori Whiteman, Valerie Wood, Colleen Xu, Andreas Zankl, Xingmin Zhang, Christopher G. Chute, Peter N. Robinson, Chris Mungall, Ada Hamosh, Melissa Haendel - medRxiv 2022 cited by 102

  11. Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Peter N. Robinson, Heidi Spratt, Shyam Visweswaran, Joseph E Flack, Yun Jae Yoo, Davera Gabriel, G. Caleb Alexander, Hemalkumar B. Mehta, Feifan Liu, Robert Miller, Rachel Wong, Elaine Hill, Lorna E. Thorpe, Jasmin Divers - EBioMedicine 2022 cited by 177

  12. Classification, Ontology, and Precision Medicine

    Authors: , , - New England Journal of Medicine 2018 cited by 329

  13. The GA4GH Phenopacket schema defines a computable representation of clinical data

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Anastasios Papakonstantinou, Davide Piscia, Nikolas Pontikos, Núria Queralt-Rosiñach, Marco Roos, Julian Saß, Paul N. Schofield, Dominik Seelow, Anastasios Siapos, Damian Smedley, Lindsay Smith, Robin Steinhaus, Jagadish Chandrabose Sundaramurthi, Emilia M. Swietlik, Sylvia Thun, Nicole Vasilevsky, Alex H. Wagner, Jeremy L. Warner, Claus Weiland, Myles Axton, Lawrence Babb, Cornelius F. Boerkoel, Bimal P. Chaudhari, Hui‐Lin Chin, Michel Dumontier, Nour Gazzaz, David P. Hansen, Harry Hochheiser, Veronica A. Kinsler, Hanns Lochmüller, Alexander Mankovich, Gary Saunders, Panagiotis I. Sergouniotis, Rachel Thompson, Andreas Zankl, Melissa Haendel, Peter N. Robinson - Nature Biotechnology 2022 cited by 111

  14. The Monarch Initiative in 2024: an analytic platform integrating phenotypes, genes and diseases across species

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Kathleen R. Mullen, Shawn T. O’Neil, Kent Shefchek, Ray Stefancsik, Sabrina Toro, Nicole Vasilevsky, Ramona Walls, Patricia L. Whetzel, David Osumi-Sutherland, Damian Smedley, Peter N. Robinson, Chris Mungall, Melissa Haendel, Mónica Muñoz-Torres - Nucleic Acids Research 2023 cited by 105

  15. BioPortal: ontologies and integrated data resources at the click of a mouse

    Authors: , , , , , , , , , , - Nucleic Acids Research, Nucleic Acids Res. 2009 cited by 884

  16. Association Between Immune Dysfunction and COVID-19 Breakthrough Infection After SARS-CoV-2 Vaccination in the US

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , - JAMA Internal Medicine 2021 cited by 277

  17. The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies

    Authors: , , , , , , , , , , , , - BMC Medical Genomics 2011 cited by 729

  18. Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network

    Authors: , , , , , , , , , , , , , - Journal of the American Medical Informatics Association 2013 cited by 426

  19. FHIR-Ontop-OMOP: Building clinical knowledge graphs in FHIR RDF with the OMOP Common data Model

    Authors: , , , , , , , , , , - Journal of Biomedical Informatics, J. Biomed. Informatics 2022 cited by 38

  20. Validity of Self-Reported Waist and Hip Circumferences in Men and Women

    Authors: , , , , , - Epidemiology 1990 cited by 1,019

  21. Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zhenglong Qian, Nabeel Qureshi, Seth Russell, Heidi Spratt, Anita Walden, Andrew E. Williams, Jacob T. Wooldridge, Yun Jae Yoo, Xiaohan Tanner Zhang, Richard L. Zhu, Christopher P. Austin, Joel Saltz, Kenneth Gersing, Melissa Haendel, Christopher G. Chute, Joel Gagnier, Siqing Hu, Kanchan Lota, Sarah E. Maidlow, David A. Hanauer, Kevin J. Weatherwax, Nikhila Gandrakota, Rishikesan Kamaleswaran, Greg S. Martin, Jingjing Qian, Jason E. Farley, Patricia A. Francis, Dazhi Jiao, Hadi Kharrazi, Justin Reese, Mariam Deacy, Usman Ullah Sheikh, Jake Y. Chen, Michael Quinn Patton, T. Bennett Ramsey, Jasvinder A. Singh, James J. Cimino, Jing Su, William G. Adams, Timothy Q. Duong, John B. Buse, Jessica Y. Islam, Jihad S. Obeid, Stephane Meystre, Steve Patterson, Misha Zemmel, Ron Grider, A. Pérez Martínez, Carlos Antônio do Nascimento Santos, Julian Solway, Ryan G. Chiu, Gerald B. Brown, Jia-Feng Cui, Sharon X. Liang, Kamil Khanipov, Jeremy Harper, Peter J. Embí, David Eichmann, Boyd M. Knosp, William B. Hillegass, Chunlei Wu, James R. Aaron, Darren W. Henderson, Muhammad Gul, Tamela Harper, Daniel R. Harris, Jeffery Talbert, Neil Bahroos, Steven M. Dubinett, Jomol Mathew and 69 more - JAMA Network Open 2021 cited by 247

  22. Predictive Utility of Polygenic Risk Scores for Coronary Heart Disease in Three Major Racial and Ethnic Groups

    Authors: , , , , , , , , , , , , , , , , , , , , , - The American Journal of Human Genetics 2020 cited by 173

  23. Challenges in defining Long COVID: Striking differences across literature, Electronic Health Records, and patient-reported information

    Authors: , , , , , , , , , , , , , , , , , , , , , - medRxiv 2021 cited by 141

  24. Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study

    Authors: , , , , , , , , , , , , , , , , , , , - BMC Public Health 2023 cited by 65