Harald Mischak

Active 1985–2025

186
Papers
25,207
Citations
97
h-index
175
i10-index

Citations

Citations per year for Harald Mischak1985: 1 citations1989: 2 citations1990: 2 citations1992: 12 citations1993: 33 citations1994: 115 citations1995: 143 citations1996: 120 citations1997: 151 citations1998: 149 citations1999: 200 citations2000: 200 citations2001: 183 citations2002: 220 citations2003: 178 citations2004: 170 citations2005: 196 citations2006: 198 citations2007: 216 citations2008: 223 citations2009: 214 citations2010: 255 citations2011: 188 citations2012: 179 citations2013: 233 citations2014: 153 citations2015: 183 citations2016: 181 citations2017: 176 citations2018: 107 citations2019: 453 citations2020: 522 citations2021: 593 citations2022: 346 citations2023: 327 citations2024: 426 citations2025: 154 citations2026: 3 citations1986–1988: no citations, so these years are not shown1991: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 1,988 citing papers, 28.1% of this breakdownGermany: 661 citing papers, 9.4% of this breakdownUnited Kingdom: 548 citing papers, 7.8% of this breakdownChina: 438 citing papers, 6.2% of this breakdownFrance: 275 citing papers, 3.9% of this breakdownJapan: 250 citing papers, 3.5% of this breakdownItaly: 231 citing papers, 3.3% of this breakdownSpain: 208 citing papers, 2.9% of this breakdownCanada: 207 citing papers, 2.9% of this breakdownNetherlands: 188 citing papers, 2.7% of this breakdownAustralia: 159 citing papers, 2.2% of this breakdownSwitzerland: 143 citing papers, 2% of this breakdown
0%28.1%Other 25.1%

Fields

  • Biochemistry, Genetics and Molecular Biology42.5%
  • Medicine33.8%
  • Immunology and Microbiology8.7%
  • Chemistry6.3%
  • Neuroscience3.2%
  • Agricultural and Biological Sciences1.6%
  • Other3.9%

Topics

  • Protein Kinase Regulation and GTPase Signaling5.9%
  • Advanced Proteomics Techniques and Applications2.9%
  • Melanoma and MAPK Pathways2.8%
  • Chronic Kidney Disease and Diabetes2.5%
  • Metabolomics and Mass Spectrometry Studies2%
  • Receptor Mechanisms and Signaling1.9%
  • Other82%

Coauthors

All papers

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  1. Early detection of diabetic kidney disease by urinary proteomics and subsequent intervention with spironolactone to delay progression (PRIORITY): a prospective observational study and embedded randomised placebo-controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Goce Spasovski, Marijn M. Speeckaert, Matias Trillini, Petra Zürbig, Heiko von der Leyen, Peter Rossing, Silke Zimmermann, Brit Rädisch, Anika Hävemeier, Annette Busmann, Ulrike Wittkop, Barbara Neuhaus, Regina Ax-Smolarski, Veit Zieglschmid, Eva Bollweber, Heidrun Wölk, Viktor Rotbain Curovic, Ninna Hahn Tougaard, Mie K. Eickhoff, Sascha Pilemann-Lyberg, Signe Abitz Winther, Signe Rosenlund, Tine W. Hansen, Bernt Johan von Scholten, Christian Stevns Hansen, Emilie H. Zobel, Jens Christian Laursen, Simone Theilade, Lone Jelstrup, Tina R. Juhl, Dorthe Riis, Jessie A. Hermann, Anne G. Lundgaard, Maja L.D. Halkjær, Lene Aabo, Therese Frost Lerche, Maria Lajer, Rikke J. Stefansen, Maria Campbell, Annika Durban, Julia Raad, Michael J. Prigge, Marco Schiemann, Robbie Wilson, Sharon Kean, Elizabeth Douglas, Pamela Surtees, Christina M. Gant, Stanley M.H. Yeung, Ilse J. M. Hagedoorn, Joanne Flynn, Joe Galloway, Katriona Brooksbank, Carolina Aparicio, Ilian Iliev, Francesco Nones, Francesca Lo Bue, Daniela Melacini, Daniela Cugini, Silvia Prandini, Verusca Lecchi, Svitlana Yakymchuk, Giulia Gherardi, Alessandro Villa, Davide Villa, Flavio Gaspari, Antonio Cannatà, Silvia Ferrari, Nadia Stucchi, Šárka Albrechtová and 31 more - The Lancet Diabetes & Endocrinology 2020 cited by 254

  2. Data Sharing Under the General Data Protection Regulation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Goce Spasovski, Jan A. Staessen, Dimitrios Stamatialis, Peter Stenvinkel, Christoph Wanner, Stephen B. Williams, Faı̈ez Zannad, Carmine Zoccali, Raymond Vanholder - Hypertension 2021 cited by 130

  3. Naturally Occurring Human Urinary Peptides for Use in Diagnosis of Chronic Kidney Disease

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Michael Melter, Christian Neusüß, Jan Novák, Karlheinz Peter, Kasper Rossing, Harald Rupprecht, Joost P. Schanstra, Eric Schiffer, Jens‐Uwe Stolzenburg, Lise Tarnow, Dan Theodorescu, Visith Thongboonkerd, Raymond Vanholder, Eva M. Weissinger, Harald Mischak, Philippe Schmitt‐Kopplin - Molecular & Cellular Proteomics 2010 cited by 538

  4. Urine in Clinical Proteomics

    Authors: , , , , , , - Molecular & Cellular Proteomics 2008 cited by 441

  5. Recommendations for Biomarker Identification and Qualification in Clinical Proteomics

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Theo M. Luider, Ziad A. Massy, William B. Mattes, Franck Molina, Bernard Monsarrat, Jan Novák, Karlheinz Peter, Peter Rossing, Marta Sänchez‐Carbayo, Joost P. Schanstra, O. John Semmes, Goce Spasovski, Dan Theodorescu, Visith Thongboonkerd, Raymond Vanholder, Timothy D. Veenstra, Eva M. Weissinger, Tadashi Yamamoto, Antonia Vlahou - Science Translational Medicine 2010 cited by 335

  6. Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jan A. Staessen, Antonia Vlahou, Harald Mischak, Raymond Vanholder - Journal of the American Society of Nephrology 2015 cited by 248

  7. A robust machine learning framework to identify signatures for frailty: a nested case-control study in four aging European cohorts

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Daniela Weber, Giuseppe Lippi, Chiara Bonaguri, Alan J. Sinclair, Jesper Tegnér, Leocadio Rodríguez‐Mañas, on behalf of the FRAILOMIC initiative - GeroScience 2021 cited by 57

  8. Suppression of Raf-1 kinase activity and MAP kinase signalling by RKIP

    Authors: , , , , , , , , , , , - Nature 1999 cited by 924

  9. Proteomic Bioprofiles and Mechanistic Pathways of Progression to Heart Failure

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Zhen‐Yu Zhang, Stéphane Heymans, Faı̈ez Zannad - Circulation Heart Failure 2019 cited by 97

  10. Subclinical and clinical acute kidney injury share similar urinary peptide signatures and prognosis

    Authors: , , , , , , , , , - Intensive Care Medicine 2023 cited by 39

  11. Urinary Proteomics for Early Diagnosis in Diabetic Nephropathy

    Authors: , , , , , , , , - Diabetes 2012 cited by 269

  12. Urinary proteomics predict onset of microalbuminuria in normoalbuminuric type 2 diabetic patients, a sub-study of the DIRECT-Protect 2 study

    Authors: , , , , , , , , , , , , , , - Nephrology Dialysis Transplantation 2016 cited by 109

  13. Proteomics of Vitreous Humor of Patients with Exudative Age-Related Macular Degeneration

    Authors: , , , , , , , , , , , , , , - PLoS ONE 2014 cited by 100

  14. Serum levels of miR-126 and miR-223 and outcomes in chronic kidney disease patients

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Mariano Rodríguez, Joost P. Schanstra, Goce Spasovski, Dimitrios Stamatialis, Sonja Steppan, Markus Storr, Bernd Stegmayr, Peter Stenvinkel, Paul J. Thornalley, Andrej Wiecek - Scientific Reports 2019 cited by 89

  15. Urine proteomics for prediction of disease progression in patients with IgA nephropathy

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Stuart Yang, Jiménez Díaz, Ana B. Sanz, Beatriz Fernández‐Fernández, Jorge Rojas-Rivera, María Vanessa Pérez-Gómez, Alberto Ortíz, María Dolores Sánchez-Niño, Jinny Sánchez-Rodríguez, Michael Rudnicki, Julia Kerschbaum, Johannes Leierer, Gert Mayer, Bernd Stegmayr, Björn Peters - Nephrology Dialysis Transplantation 2020 cited by 79

  16. Mass Spectrometry-Based Biomarkers to Detect Prostate Cancer: A Multicentric Study Based on Non-Invasive Urine Collection without Prior Digital Rectal Examination

    Authors: , , , , , , , , , , , , - Cancers 2023 cited by 19

  17. The application of multi-omics and systems biology to identify therapeutic targets in chronic kidney disease

    Authors: , , , - Nephrology Dialysis Transplantation 2015 cited by 129

  18. Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease

    Authors: , - Clinical Kidney Journal 2017 cited by 102

  19. Protein kinase Cα activates RAF-1 by direct phosphorylation

    Authors: , , , , , , , , - Nature 1993 cited by 1,286

  20. Cyclic AMP-Dependent Kinase Regulates Raf-1 Kinase Mainly by Phosphorylation of Serine 259

    Authors: , , , , , - Molecular and Cellular Biology 2002 cited by 228

  21. A Novel Urinary Proteomics Classifier for Non-Invasive Evaluation of Interstitial Fibrosis and Tubular Atrophy in Chronic Kidney Disease

    Authors: , , , , , , - Proteomes 2021 cited by 56

  22. Selective inhibition of protein kinase C isozymes by the indolocarbazole Gö 6976

    Authors: , , , , , , , - Journal of Biological Chemistry 1993 cited by 1,580

  23. Body Fluid Proteomics for Biomarker Discovery: Lessons from the Past Hold the Key to Success in the Future

    Authors: , , , , , , , - Journal of Proteome Research 2007 cited by 247

  24. CKD273, a New Proteomics Classifier Assessing CKD and Its Prognosis

    Authors: , , , , , , , , , , - PLoS ONE 2013 cited by 159