World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
81
Citations
21598
World Ranking
16756
National Ranking
879

Peter Boor publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Peter Boor sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 392 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Peter Boor D-index placement in Medicine in 2026

The chart shows the D-index (discipline H-index) distribution of Medicine scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Boor sits on this spectrum.

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 81 D-Index — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Peter Boor is affiliated with RWTH Aachen University in Germany and has a broad research portfolio primarily within the field of Medicine. Their work extends into several specialized subfields including Molecular Biology, Infectious Diseases, Pulmonary and Respiratory Medicine, Nephrology, and Immunology.

Their research spans a variety of main topics, with notable focus areas such as COVID-19 Clinical Research Studies, AI in cancer detection, Chronic Kidney Disease and Diabetes, Renal Diseases and Glomerulopathies, SARS-CoV-2 and COVID-19 Research, Radiomics and Machine Learning in Medical Imaging, and the Long-Term Effects of COVID-19.

Peter Boor has contributed to several papers in high-impact journals, including:

  • Swarm Learning for decentralized and confidential clinical machine learning, 2021, Nature
  • Decoding myofibroblast origins in human kidney fibrosis, 2020, Nature
  • Pan-cancer image-based detection of clinically actionable genetic alterations, 2020, Nature Cancer
  • Spatial multi-omic map of human myocardial infarction, 2022, Nature
  • SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis, 2021, Cell

The scientist frequently collaborates with several co-authors, including Saskia von Stillfried, Roman D. Bülow, Barbara M. Klinkhammer, Rafael Kramann, and Sonja Djudjaj.

Peter Boor's publications often appear in reputable venues with multiple contributions to bioRxiv (Cold Spring Harbor Laboratory), Journal of the American Society of Nephrology, Kidney International, Nephrology Dialysis Transplantation, and Zenodo (CERN European Organization for Nuclear Research).

Best Publications

  • Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.

    Jakob Nikolas Kather;Alexander T. Pearson;Niels Halama;Dirk Jäger

  • Decoding myofibroblast origins in human kidney fibrosis

    Christoph Kuppe;Mahmoud M. Ibrahim;Mahmoud M. Ibrahim;Jennifer Kranz;Jennifer Kranz;Xiaoting Zhang

  • Renal fibrosis: novel insights into mechanisms and therapeutic targets

    Peter Boor;Tammo Ostendorf;Jürgen Floege

  • Pan-cancer image-based detection of clinically actionable genetic alterations

    Jakob Nikolas Kather;Jakob Nikolas Kather;Lara R. Heij;Lara R. Heij;Heike I. Grabsch;Heike I. Grabsch;Chiara Loeffler

  • SARS-CoV-2 infection triggers profibrotic macrophage responses and lung fibrosis

    Daniel Wendisch;Oliver Dietrich;Tommaso Mari;Saskia von Stillfried

  • Transplanted mesenchymal stem cells accelerate glomerular healing in experimental glomerulonephritis.

    Uta Kunter;Song Rong;Zivka Djuric;Peter Boor

  • Cellular and molecular mechanisms of kidney fibrosis.

    Sonja Djudjaj;Peter Boor

  • The extracellular matrix in the kidney: a source of novel non-invasive biomarkers of kidney fibrosis?

    Federica Genovese;Alba A Manresa;Diana Julie Leeming;Morten Asser Karsdal

  • Mesenchymal Stem Cells Prevent Progressive Experimental Renal Failure but Maldifferentiate into Glomerular Adipocytes

    Uta Kunter;Song Rong;Peter Boor;Frank Eitner

  • Extracellular Matrix in Kidney Fibrosis: More Than Just a Scaffold.

    Roman David Bülow;Peter Boor

  • Clinical-Grade Detection of Microsatellite Instability in Colorectal Tumors by Deep Learning.

    Amelie Echle;Heike Irmgard Grabsch;Heike Irmgard Grabsch;Philip Quirke;Piet A. van den Brandt

  • Proximal tubular cells contain a phenotypically distinct, scattered cell population involved in tubular regeneration

    Bart Smeets;Bart Smeets;Peter Boor;Peter Boor;Henry Dijkman;Shagun V Sharma

  • Keratins in health and disease.

    Diana M Toivola;Peter Boor;Catharina Alam;Pavel Strnad

  • PDGF in organ fibrosis.

    Barbara Mara Klinkhammer;Jürgen Floege;Peter Boor

  • Evolving complexity of MIF signaling.

    Stanislovas S. Jankauskas;Dickson W.L. Wong;Richard Bucala;Sonja Djudjaj

  • Treatment targets in renal fibrosis

    Peter Boor;Katarína Šebeková;Tammo Ostendorf;Jürgen Floege

  • Regardless of etiology, progressive renal disease causes ultrastructural and functional alterations of peritubular capillaries

    Janka Babickova;Barbara M. Klinkhammer;Eva M. Buhl;Sonja Djudjaj

  • Genetic regulatory effects modified by immune activation contribute to autoimmune disease associations

    Sarah Kim-Hellmuth;Matthias Bechheim;Benno Pütz;Pejman Mohammadi

  • An NLRP3-specific inflammasome inhibitor attenuates crystal-induced kidney fibrosis in mice

    Isis Ludwig-Portugall;Eva Bartok;Ermanila Dhana;Beatrix D.G. Evers

  • Seven weeks of Western diet in apolipoprotein-E-deficient mice induce metabolic syndrome and non-alcoholic steatohepatitis with liver fibrosis

    Robert Schierwagen;Lara Maybüchen;Sebastian Zimmer;Kanishka Hittatiya

Frequent Co-Authors

Jürgen Floege
Jürgen Floege RWTH Aachen University
Twan Lammers
Twan Lammers RWTH Aachen University
Christian Trautwein
Christian Trautwein RWTH Aachen University
Hans-Joachim Anders
Hans-Joachim Anders Ludwig-Maximilians-Universität München
Ralf Weiskirchen
Ralf Weiskirchen RWTH Aachen University
Tim H. Brümmendorf
Tim H. Brümmendorf RWTH Aachen University
Fabian Kiessling
Fabian Kiessling RWTH Aachen University
Joachim Jankowski
Joachim Jankowski RWTH Aachen University
Jürgen Bernhagen
Jürgen Bernhagen Ludwig-Maximilians-Universität München
Julio Saez-Rodriguez
Julio Saez-Rodriguez Heidelberg University

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