World's Best Scientists 2026 revealed!
Stephan Ruhrmann

Stephan Ruhrmann

D-Index & Metrics

Medicine

D-Index
75
Citations
21322
World Ranking
19107
National Ranking
1004

Stephan Ruhrmann 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 Stephan Ruhrmann 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: 610 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: 378 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Stephan Ruhrmann 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 Stephan Ruhrmann 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: 399 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: 75 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Stephan Ruhrmann is affiliated with the University of Cologne in Germany. Their research spans multiple disciplines, primarily focusing on medicine, neuroscience, and psychology. Within these broader fields, they have contributed extensively to subfields such as psychiatry and mental health, cognitive neuroscience, experimental and cognitive psychology, clinical psychology, and biological psychiatry.

The scientist's work centers on topics including schizophrenia research and treatment, functional brain connectivity studies, mental health research topics, tryptophan and brain disorders, mental health and psychiatry in general, bipolar disorder and treatment, as well as child and adolescent psychosocial and emotional development.

Stephan Ruhrmann has authored several research papers with notable publications in high-impact journals. Some of their recent papers include:

  • Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression, 2020, JAMA Psychiatry
  • Microglial autophagy-associated phagocytosis is essential for recovery from neuroinflammation, 2020, Science Immunology
  • Development of Proteomic Prediction Models for Transition to Psychotic Disorder in the Clinical High-Risk State and Psychotic Experiences in Adolescence, 2020, JAMA Psychiatry
  • Dysregulated Lipid Metabolism Precedes Onset of Psychosis, 2020, Biological Psychiatry
  • Atypical processing of uncertainty in individuals at risk for psychosis, 2020, NeuroImage Clinical

Their collaborations include frequent co-authorship with several researchers, reflecting a diverse network in their research community. These frequent co-authors are:

  • Stefan Borgwardt
  • Christos Pantelis
  • Rachel Upthegrove
  • Raimo K. R. Salokangas
  • Nikolaos Koutsouleris

Stephan Ruhrmann's publications have appeared in multiple venues, with frequent contributions to journals specializing in psychiatry and related fields. Notable publication venues include:

  • Schizophrenia Bulletin
  • Biological Psychiatry
  • European Psychiatry
  • Psychological Medicine
  • The British Journal of Psychiatry

Best Publications

  • The Psychosis High-Risk State: A Comprehensive State-of-the-Art Review

    Paolo Fusar-Poli;Stefan Borgwardt;Andreas Bechdolf;Jean Addington

  • Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

    Phil H. Lee;Verneri Anttila;Hyejung Won;Yen-Chen A. Feng

  • Prediction of psychosis in adolescents and young adults at high risk: results from the prospective European prediction of psychosis study

    Stephan Ruhrmann;Frauke Schultze-Lutter;Raimo K. R. Salokangas;Markus Heinimaa

  • Revealing the complex genetic architecture of obsessive-compulsive disorder using meta-analysis

    Paul D. Arnold;Kathleen D. Askland;Cristina Barlassina;Laura Bellodi

  • EPA guidance on the early intervention in clinical high risk states of psychoses.

    Frauke Schultze-Lutter;Chantal Michel;Stefanie Julia Schmidt;Benno Karl Edgar Schimmelmann

  • Genome-wide association study of obsessive-compulsive disorder.

    S. E. Stewart;D. Yu;J. M. Scharf;B. M. Neale

  • Intervention in individuals at ultra-high risk for psychosis: a review and future directions.

    Patrick D. McGorry;Barnaby Nelson;G. Paul Amminger;Andreas Bechdolf

  • Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or with Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis

    Nikolaos Koutsouleris;Lana Kambeitz-Ilankovic;Stephan Ruhrmann;Marlene Rosen

  • Prediction of psychosis by mismatch negativity.

    Mitja Bodatsch;Stephan Ruhrmann;Michael Wagner;Ralf Müller

  • Partitioning the heritability of tourette syndrome and obsessive compulsive disorder reveals differences in genetic architecture

    Lea K. Davis;Dongmei Yu;Clare L. Keenan;Eric R. Gamazon

  • Identifying Gene-Environment Interactions in Schizophrenia: Contemporary Challenges for Integrated, Large-scale Investigations

    Jim van Os;Jim van Os;Bart P. Rutten;Inez Myin-Germeys;Philippe Delespaul

  • Application of transcranial magnetic stimulation in treatment of drug‐resistant major depression—a report of two cases

    G. Höflich;S. Kasper;A. Hufnagel;S. Ruhrmann

  • Early detection and secondary prevention of psychosis: facts and visions.

    Heinz Häfner;Kurt Maurer;Stephan Ruhrmann;Andreas Bechdolf

  • Preventing progression to first-episode psychosis in early initial prodromal states

    Andreas Bechdolf;Michael Wagner;Stephan Ruhrmann;Susan Harrigan

  • Disorder, not just state of risk: meta-analysis of functioning and quality of life in people at high risk of psychosis.

    Paolo Fusar-Poli;Matteo Rocchetti;Alberto Sardella;Alessia Avila

  • Sensory Gating in Schizophrenia: P50 and N100 Gating in Antipsychotic-Free Subjects at Risk, First-Episode, and Chronic Patients

    Anke Brockhaus-Dumke;Frauke Schultze-Lutter;Ralf Mueller;Indira Tendolkar

  • Basic Symptoms and Ultrahigh Risk Criteria: Symptom Development in the Initial Prodromal State

    Frauke Schultze-Lutter;Stephan Ruhrmann;Julia Berning;Wolfgang Maier

  • Early detection and intervention in the initial prodromal phase of schizophrenia.

    S Ruhrmann;F Schultze-Lutter;J Klosterkötter

  • Neurocognitive indicators for a conversion to psychosis: comparison of patients in a potentially initial prodromal state who did or did not convert to a psychosis.

    Ralf Pukrop;Stephan Ruhrmann;Frauke Schultze-Lutter;Andreas Bechdolf

  • Genome wide meta-analysis identifies genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders

    Lee Ph;Anttila;Won H

Frequent Co-Authors

Joachim Klosterkötter
Joachim Klosterkötter University of Cologne
Michael Wagner
Michael Wagner TU Dresden
Stefan Borgwardt
Stefan Borgwardt University of Lübeck
Stephen J. Wood
Stephen J. Wood University of Melbourne
Nikolaos Koutsouleris
Nikolaos Koutsouleris Ludwig-Maximilians-Universität München
Peter Falkai
Peter Falkai Ludwig-Maximilians-Universität München
Ralf Pukrop
Ralf Pukrop University of Cologne
Philip McGuire
Philip McGuire University of Oxford
Christos Pantelis
Christos Pantelis University of Melbourne
Paolo Brambilla
Paolo Brambilla University of Milan

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