World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
84
Citations
33755
World Ranking
3256
National Ranking
249

Jürgen Ruland publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Jürgen Ruland sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 417 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 196 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 59 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 225 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Jürgen Ruland D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Jürgen Ruland sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 71 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 84 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Jürgen Ruland is affiliated with the Technical University of Munich in Germany. Their research spans multiple fields including Medicine, Biochemistry, Genetics and Molecular Biology, and Immunology and Microbiology. The subfields of their work include Immunology, Molecular Biology, Oncology, Genetics, and Infectious Diseases.

The scientist's work covers several key topics, such as:

  • Immune Cell Function and Interaction
  • Chronic Lymphocytic Leukemia Research
  • Lymphoma Diagnosis and Treatment
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Clinical Research Studies
  • T-cell and B-cell Immunology
  • CAR-T cell therapy research

Jürgen Ruland has co-authored publications frequently with several researchers, including:

  • Katja Steiger
  • Florian Bassermann
  • Roland Rad
  • Simon Heidegger
  • Larsen Vornholz

The most frequent publication venues for their research include:

  • Blood
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • Frontiers in Immunology
  • Tierärztliche Praxis Ausgabe K Kleintiere / Heimtiere

Selected recent papers by Jürgen Ruland include:

  • "AKT-dependent NOTCH3 activation drives tumor progression in a model of mesenchymal colorectal cancer," 2020, The Journal of Experimental Medicine
  • "Classification and Nomenclature of Metacaspases and Paracaspases: No More Confusion with Caspases," 2020, Molecular Cell
  • "Decrypting drug actions and protein modifications by dose- and time-resolved proteomics," 2023, Science
  • "Integrated genomic analyses of cutaneous T-cell lymphomas reveal the molecular bases for disease heterogeneity," 2021, Blood
  • "Dynamics of spike-and nucleocapsid specific immunity during long-term follow-up and vaccination of SARS-CoV-2 convalescents," 2022, Nature Communications

Best Publications

  • Negative Regulation of PKB/Akt-Dependent Cell Survival by the Tumor Suppressor PTEN

    Vuk Stambolic;Vuk Stambolic;Akira Suzuki;Akira Suzuki;José Luis de la Pompa;José Luis de la Pompa

  • DNA damage-induced activation of p53 by the checkpoint kinase Chk2.

    Atsushi Hirao;Young-Yun Kong;Shuhei Matsuoka;Andrew Wakeham

  • Syk- and CARD9-dependent coupling of innate immunity to the induction of T helper cells that produce interleukin 17.

    Salomé LeibundGut-Landmann;Olaf Groß;Matthew J Robinson;Fabiola Osorio

  • The SYK tyrosine kinase: a crucial player in diverse biological functions.

    Attila Mócsai;Jürgen Ruland;Victor L. J. Tybulewicz

  • Syk kinase signalling couples to the Nlrp3 inflammasome for anti-fungal host defence.

    Olaf Gross;Olaf Gross;Hendrik Poeck;Michael Bscheider;Catherine Dostert

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies

    Andrea Cossarizza;Hyun Dong Chang;Andreas Radbruch;Mübeccel Akdis

  • Card9 controls a non-TLR signalling pathway for innate anti-fungal immunity

    Olaf Gross;Andreas Gewies;Katrin Finger;Martin Schäfer

  • Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

    Andrea Cossarizza;Hyun Dong Chang;Andreas Radbruch;Andreas Acs

  • A Homozygous CARD9 Mutation in a Family with Susceptibility to Fungal Infections

    Erik-Oliver Glocker;Andre Hennigs;Mohammad Nabavi;Alejandro A. Schäffer

  • The target landscape of clinical kinase drugs

    Susan Klaeger;Susan Klaeger;Stephanie Heinzlmeir;Stephanie Heinzlmeir;Mathias Wilhelm;Harald Polzer;Harald Polzer

  • Bcl10 Is a Positive Regulator of Antigen Receptor–Induced Activation of NF-κ B and Neural Tube Closure

    Jürgen Ruland;Jürgen Ruland;Gordon S Duncan;Gordon S Duncan;Andrew Elia;Andrew Elia;Ivan del Barco Barrantes;Ivan del Barco Barrantes

  • Recognition of RNA virus by RIG-I results in activation of CARD9 and inflammasome signaling for interleukin 1|[beta]| production

    Hendrik Poeck;Michael Bscheider;Olaf Gross;Olaf Gross;Katrin Finger

  • Dectin-2 is a Syk-coupled pattern recognition receptor crucial for Th17 responses to fungal infection

    Matthew J. Robinson;Fabiola Osorio;Marcela Rosas;Rui P. Freitas

  • Aberrant NF-kappaB signaling in lymphoma: mechanisms, consequences, and therapeutic implications.

    Philipp J. Jost;Jürgen Ruland

  • Cutting edge: Mincle is essential for recognition and adjuvanticity of the mycobacterial cord factor and its synthetic analog trehalose-dibehenate.

    Hanne Schoenen;Barbara Bodendorfer;Kelly Hitchens;Silvia Manzanero

  • 5′-triphosphate-siRNA: turning gene silencing and Rig-I activation against melanoma

    Poeck H;Besch R;Maihoefer C;Maihoefer C;Renn M

  • Differential Requirement for Malt1 in T and B Cell Antigen Receptor Signaling

    Jürgen Ruland;Jürgen Ruland;Gordon S Duncan;Andrew Wakeham;Tak W Mak

  • K+ Efflux-Independent NLRP3 Inflammasome Activation by Small Molecules Targeting Mitochondria

    Christina J. Groß;Ritu Mishra;Katharina S. Schneider;Guillaume Médard

  • Return to homeostasis: downregulation of NF-κB responses

    Jürgen Ruland

  • The Ubiquitin Ligase XIAP Recruits LUBAC for NOD2 Signaling in Inflammation and Innate Immunity

    Rune Busk Damgaard;Ueli Nachbur;Ueli Nachbur;Ueli Nachbur;Monica Yabal;Wendy Wei-Lynn Wong;Wendy Wei-Lynn Wong

Frequent Co-Authors

Christian Peschel
Christian Peschel Technical University of Munich
Tak W. Mak
Tak W. Mak Princess Margaret Cancer Centre
Mathias Heikenwalder
Mathias Heikenwalder German Cancer Research Center
Roland Rad
Roland Rad Technical University of Munich
Andreas Strasser
Andreas Strasser Walter and Eliza Hall Institute of Medical Research
Daniel Krappmann
Daniel Krappmann Ludwig-Maximilians-Universität München
Tak W. Mak
Tak W. Mak Princess Margaret Cancer Centre
Attila Mócsai
Attila Mócsai Semmelweis University
Wilko Weichert
Wilko Weichert Technical University of Munich
Gordon D. Brown
Gordon D. Brown University of Exeter

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