Matthias Scheffler

Active 1979–2025

171
Papers
53,543
Citations
109
h-index
157
i10-index

Citations

Citations per year for Matthias Scheffler1882: 8 citations1967: 1 citations1979: 1 citations1980: 4 citations1981: 1 citations1982: 3 citations1983: 1 citations1984: 3 citations1985: 2 citations1986: 1 citations1988: 2 citations1989: 1 citations1990: 1 citations1991: 7 citations1992: 6 citations1993: 8 citations1994: 20 citations1995: 27 citations1996: 40 citations1997: 44 citations1998: 30 citations1999: 36 citations2000: 38 citations2001: 37 citations2002: 54 citations2003: 64 citations2004: 97 citations2005: 66 citations2006: 79 citations2007: 63 citations2008: 76 citations2009: 102 citations2010: 117 citations2011: 148 citations2012: 223 citations2013: 208 citations2014: 186 citations2015: 212 citations2016: 271 citations2017: 291 citations2018: 339 citations2019: 567 citations2020: 722 citations2021: 625 citations2022: 532 citations2023: 492 citations2024: 611 citations2025: 362 citations2026: 52 citations1883–1966: no citations, so these years are not shown1968–1978: no citations, so these years are not shown1987: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,948 citing papers, 22.7% of this breakdownGermany: 990 citing papers, 11.5% of this breakdownChina: 938 citing papers, 10.9% of this breakdownUnited Kingdom: 476 citing papers, 5.6% of this breakdownItaly: 366 citing papers, 4.3% of this breakdownSwitzerland: 324 citing papers, 3.8% of this breakdownFrance: 318 citing papers, 3.7% of this breakdownJapan: 257 citing papers, 3% of this breakdownSpain: 255 citing papers, 3% of this breakdownSouth Korea: 211 citing papers, 2.5% of this breakdownCanada: 198 citing papers, 2.3% of this breakdownNetherlands: 182 citing papers, 2.1% of this breakdown
0%22.7%Other 24.6%

Fields

  • Materials Science30.5%
  • Medicine20.7%
  • Biochemistry, Genetics and Molecular Biology14.9%
  • Physics and Astronomy11.4%
  • Engineering6.3%
  • Computer Science4.8%
  • Other11.4%

Topics

  • Machine Learning in Materials Science7.9%
  • Lung Cancer Treatments and Mutations5.3%
  • Computational Drug Discovery Methods4.5%
  • Advanced Chemical Physics Studies3.8%
  • Lung Cancer Research Studies2%
  • Catalytic Processes in Materials Science1.9%
  • Other74.6%

Coauthors

All papers

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  1. Comutations and KRASG12C Inhibitor Efficacy in Advanced NSCLC

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jing Wang, Blerina Resuli, Lorenza Landi, Shu-Chi Tseng, Mizuki Nishino, Subba R. Digumarthy, Waree Rinsurongkawong, Vadeerat Rinsurongkawong, Ara A. Vaporciyan, George R. Blumenschein, Jianjun Zhang, Dwight H. Owen, Collin M. Blakely, Giannis Mountzios, Catherine A. Shu, Christine M. Bestvina, Marina Chiara Garassino, Kristen A. Marrone, Jhanelle E. Gray, Sandip Pravin Patel, Amy L. Cummings, Heather A. Wakelee, Juergen Wolf, Giorgio V. Scagliotti, Federico Cappuzzo, Fabrice Barlési, Pradnya D. Patil, Leylah Drusbosky, Don L. Gibbons, Funda Meric‐Bernstam, J. Jack Lee, John V. Heymach, David S. Hong, Rebecca S. Heist, Mark M. Awad, Ferdinandos Skoulidis - Cancer Discovery 2023 cited by 181

  2. Ab initio molecular simulations with numeric atom-centered orbitals

    Authors: , , , , , , , - Computer Physics Communications, Comput. Phys. Commun. 2009 cited by 2,942

  3. FAIR data enabling new horizons for materials research

    Authors: , , , , , , , , , , , , , - Nature 2022 cited by 234

  4. Accurate and Efficient Method for Many-Body van der Waals Interactions

    Authors: , , , - Physical Review Letters 2012 cited by 1,530

  5. Accurate Molecular Van Der Waals Interactions from Ground-State Electron Density and Free-Atom Reference Data

    Authors: , - Physical Review Letters 2009 cited by 6,279

  6. SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

    Authors: , , , , - Physical Review Materials 2018 cited by 755

  7. CTLA4 blockade abrogates KEAP1/STK11-related resistance to PD-(L)1 inhibitors

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Collin M. Blakely, Chad V. Pecot, Laura Mezquita, Fabrizio Tabbò, Matthias Scheffler, Subba R. Digumarthy, Meghan J. Mooradian, Adrian G. Sacher, Sally C. M. Lau, Andreas Saltos, Julia Rotow, Rocio Perez Johnson, Corinne Liu, Tyler F. Stewart, Sarah B. Goldberg, Jonathan Killam, Zenta Walther, Kurt A. Schalper, Kurtis D. Davies, Mark G. Woodcock, Valsamo Anagnostou, Kristen A. Marrone, Patrick M. Forde, Biagio Ricciuti, Deepti Venkatraman, Eliezer M. Van Allen, Amy L. Cummings, Jonathan W. Goldman, Hiram Shaish, Melanie Wain Kier, Sharyn I. Katz, Charu C. Aggarwal, Ying Ni, Joseph T. Azok, Jeremy Segal, Lauren L. Ritterhouse, Joel W. Neal, Ludovic Lacroix, Yasir Y. Elamin, Marcelo V. Negrão, Xiuning Le, Vincent K. Lam, Whitney E. Lewis, Haley N. Kemp, Brett Carter, Jack A. Roth, Stephen G. Swisher, Richard Lee, Teng Zhou, Alissa Poteete, Yifan Kong, Tomohiro Takehara, Alvaro Guimaraes Paula, Edwin R. Parra, Carmen Behrens, Ignacio I. Wistuba, Jianjun Zhang, George R. Blumenschein, Carl M. Gay, Lauren A. Byers, Don L. Gibbons, Anne S. Tsao, J. Jack Lee, Trever G. Bivona, D. Ross Camidge, Jhannelle E Gray, Natasha B. Leighl, Benjamin Levy, Julie R. Brahmer, Marina Chiara Garassino and 31 more - Nature 2024 cited by 155

  8. Big Data of Materials Science: Critical Role of the Descriptor

    Authors: , , , , - Physical Review Letters 2015 cited by 913

  9. The NOMAD laboratory: from data sharing to artificial intelligence

    Authors: , - Journal of Physics Materials 2019 cited by 355

  10. DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tim Gould, Stefan Grimme, O. V. Gritsenko, Hans Jørgen Aa. Jensen, Erin R. Johnson, R. Jones, Martin Kaupp, Andreas M. Köster, Leeor Kronik, Anna I. Krylov, Simen Kvaal, Andre Laestadius, Mel Levy, Mathieu Lewin, Shubin Liu, Pierre‐François Loos, Neepa T. Maitra, Frank Neese, John P. Perdew, Katarzyna Pernal, Pascal Pernot, Piotr Piecuch, Elisa Rebolini, Lucia Reining, Pina Romaniello, Adrienn Ruzsinszky, Dennis R. Salahub, Matthias Scheffler, Peter Schwerdtfeger, Viktor N. Staroverov, Jianwei Sun, Erik I. Tellgren, David J. Tozer, S. B. Trickey, Carsten A. Ullrich, Alberto Vela, Giovanni Vignale, Tomasz A. Wesołowski, Xin Xu, Weitao Yang - Physical Chemistry Chemical Physics 2022 cited by 264

  11. New tolerance factor to predict the stability of perovskite oxides and halides

    Authors: , , , , , , - Science Advances 2019 cited by 1,715

  12. K-ras Mutation Subtypes in NSCLC and Associated Co-occuring Mutations in Other Oncogenic Pathways

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Christian Grohé, Anna Eisert, Rieke Frank, Leonie Gogl, Carsten Schaepers, Alessandra Holzem, Martin Hellmich, Roman K. Thomas, Martin Peifer, Martin L. Sos, Reinhard Büttner, Jürgen Wolf - Journal of Thoracic Oncology 2018 cited by 259

  13. Clinical and Pathological Characteristics of KEAP1 - and NFE2L2 -Mutated Non–Small Cell Lung Carcinoma (NSCLC)

    Authors: , , , , , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2018 cited by 166

  14. Resolution-of-identity approach to Hartree–Fock, hybrid density functionals, RPA, MP2 andGWwith numeric atom-centered orbital basis functions

    Authors: , , , , , , , - New Journal of Physics 2012 cited by 737

  15. Insightful classification of crystal structures using deep learning

    Authors: , , , - Nature Communications 2018 cited by 340

  16. Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies

    Authors: , , , , , , , , - Journal of Chemical Theory and Computation 2013 cited by 645

  17. Reproducibility in density functional theory calculations of solids

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , N. A. W. Holzwarth, Diana Iuşan, Dominik B. Jochym, F. Jollet, Daniel R. Jones, Georg Kresse, Klaus Koepernik, Emine Küçükbenli, Y. O. Kvashnin, Inka L. M. Locht, S. Lübeck, Martijn Marsman, Nicola Marzari, Ulrike Nitzsche, Lars Nordström, Taisuke Ozaki, Lorenzo Paulatto, Chris J. Pickard, Ward Poelmans, Matt Probert, Keith Refson, Manuel Richter, Gian‐Marco Rignanese, Santanu Saha, Matthias Scheffler, Martin Schlipf, Karlheinz Schwarz, S. Sharma, Francesca Tavazza, Patrik Thunström, Alexandre Tkatchenko, Marc Torrent, David Vanderbilt, Michiel J. van Setten, Véronique Van Speybroeck, J. M. Wills, Jonathan R. Yates, Guoxu Zhang, Stefaan Cottenier - Science 2016 cited by 1,652

  18. Representing high-dimensional potential-energy surfaces for reactions at surfaces by neural networks

    Authors: , , - Chemical Physics Letters 2004 cited by 408

  19. Safety and Efficacy of Crizotinib in Patients With Advanced or Metastatic ROS1-Rearranged Lung Cancer (EUCROSS): A European Phase II Clinical Trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Meike Limburg, Mariano Provencio, Niki Karachaliou, Sabine Merkelbach‐Bruse, Martin Hellmich, Lucia Nogová, Reinhard Büttner, Rafael Rosell, Jürgen Wolf - Journal of Thoracic Oncology 2019 cited by 131

  20. Roadmap on electronic structure codes in the exascale era

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mariana Rossi, Robert R. Schade, Matthias Scheffler, Ole Schütt, Phanish Suryanarayana, Marc Torrent, Lionel A. Truflandier, Theresa L. Windus, Qimen Xu, Victor Yu, Danny Pérez - Modelling and Simulation in Materials Science and Engineering 2023 cited by 72

  21. Shared metadata for data-centric materials science

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Chuanxun Su, Denis Usvyat, Ómar Valsson, Christof Wöll, Matthias Scheffler - Scientific Data 2023 cited by 55

  22. Osimertinib and Selpercatinib Efficacy, Safety, and Resistance in a Multicenter, Prospectively Treated Cohort of EGFR -Mutant and RET Fusion-Positive Lung Cancers

    Authors: , , , , , , , , , , , , , , , , , - Clinical Cancer Research 2023 cited by 40

  23. Overcoming EGFRG724S-mediated osimertinib resistance through unique binding characteristics of second-generation EGFR inhibitors

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Enriqueta Felip, Egbert F. Smit, Sabine Merkelbach‐Bruse, Hans Christian Reinhardt, Stefan M. Kast, Jürgen Wolf, Daniel Rauh, Reinhard Büttner, Martin L. Sos - Nature Communications 2018 cited by 139

  24. Random-phase approximation and its applications in computational chemistry and materials science

    Authors: , , , - Journal of Materials Science 2012 cited by 584