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Péter Csermely

Péter Csermely

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Biology and Biochemistry
Hungary
2026

D-Index & Metrics

Biology and Biochemistry

D-Index
75
Citations
21255
World Ranking
5292
National Ranking
3

Péter Csermely 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 Péter Csermely 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: 263 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Péter Csermely 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 Péter Csermely 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: 75 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Biology and Biochemistry in Hungary Leader Award
  • 2025 - Research.com Biology and Biochemistry in Hungary Leader Award
  • 2023 - Research.com Biology and Biochemistry in Hungary Leader Award
  • 2022 - Research.com Biology and Biochemistry in Hungary Leader Award
  • 2012 - Member of Academia Europaea

Overview

Péter Csermely is affiliated with Semmelweis University in Hungary and has contributed extensively to research within the field of Biochemistry, Genetics, and Molecular Biology. Their work spans various subfields including Molecular Biology, Computational Theory and Mathematics, Aging, Cellular and Molecular Neuroscience, and Immunology.

The scientific topics most frequently addressed by Csermely include Bioinformatics and Genomic Networks, Gene Regulatory Network Analysis, Computational Drug Discovery Methods, Genetics, Aging, and Longevity in Model Organisms, Photoreceptor and Optogenetics Research, Single-cell and Spatial Transcriptomics, and Machine Learning in Bioinformatics.

Among recent publications, selected papers include:

  • Learning of Signaling Networks: Molecular Mechanisms, 2020, Trends in Biochemical Sciences
  • SignaLink3: a multi-layered resource to uncover tissue-specific signaling networks, 2021, Nucleic Acids Research
  • Efficient link prediction in the protein-protein interaction network using topological information in a generative adversarial network machine learning model, 2022, BMC Bioinformatics
  • Synaptic polarity and sign-balance prediction using gene expression data in the Caenorhabditis elegans chemical synapse neuronal connectome network, 2020, PLoS Computational Biology
  • Screening and monitoring of the BTKC481S mutation in a real-world cohort of patients with relapsed/refractory chronic lymphocytic leukaemia during ibrutinib therapy, 2021, British Journal of Haematology

Frequent coauthors who have collaborated with Csermely include:

  • Dániel V. Veres
  • Márk Kerestély
  • Zsolt Vassy
  • Klára Schulc
  • Nina Kunšič

Work by Csermely has appeared in a variety of scientific venues, with recurrent publications in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Trends in Biochemical Sciences
  • Nucleic Acids Research
  • BMC Bioinformatics

Csermely has been recognized as a Member of Academia Europaea since 2012.

Best Publications

  • The 90-kDa molecular chaperone family : structure, function, and clinical applications. A comprehensive review

    Péter Csermely;Tamás Schnaider;Csaba Soti;Zoltán Prohászka

  • The efficiency of multi-target drugs: the network approach might help drug design.

    Péter Csermely;Vilmos Ágoston;Sándor Pongor

  • Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review

    Peter Csermely;Tamás Korcsmáros;Tamás Korcsmáros;Huba J.M. Kiss;Gábor London

  • Induced fit, conformational selection and independent dynamic segments: an extended view of binding events

    Peter Csermely;Robin Palotai;Ruth Nussinov;Ruth Nussinov

  • Hsp90 isoforms: functions, expression and clinical importance

    Amere Subbarao Sreedhar;Éva Kalmár;Péter Csermely;Yu Fei Shen

  • The role of structural disorder in the function of RNA and protein chaperones

    Peter Tompa;Peter Csermely

  • Heat shock proteins in the regulation of apoptosis: new strategies in tumor therapy: a comprehensive review.

    Amere Subbarao Sreedhar;Peter Csermely

  • Heat shock proteins as emerging therapeutic targets.

    Csaba Sõti;Enikõ Nagy;Zoltán Giricz;László Vígh

  • Structure and dynamics of core/periphery networks

    Peter Csermely;András London;Ling-Yun Wu;Brian Uzzi

  • Community Landscapes: An Integrative Approach to Determine Overlapping Network Module Hierarchy, Identify Key Nodes and Predict Network Dynamics

    István A. Kovács;István A. Kovács;Robin Palotai;Máté S. Szalay;Peter Csermely

  • A Nucleotide-dependent molecular switch controls ATP binding at the C-terminal domain of Hsp90. N-terminal nucleotide binding unmasks a C-terminal binding pocket.

    Csaba Söti;Attila Rácz;Péter Csermely

  • Chance and necessity in the evolution of minimal metabolic networks

    Csaba Pál;Balázs Papp;Martin J. Lercher;Péter Csermely

  • Network analysis of protein dynamics.

    Csaba Böde;István A. Kovács;Máté S. Szalay;Robin Palotai

  • Nuclear Translocation of the Tumor Marker Pyruvate Kinase M2 Induces Programmed Cell Death

    Attila Steták;Réka Veress;Judit Ovádi;Péter Csermely

  • Weak links : stabilizers of complex systems from proteins to social networks

    Peter Csermely

  • The 90-kDa heat shock protein (hsp-90) possesses an ATP binding site and autophosphorylating activity.

    P Csermely;C R Kahn

  • SignaLink 2 - a signaling pathway resource with multi-layered regulatory networks

    Dávid Fazekas;Mihály Koltai;Mihály Koltai;Dénes Türei;Dénes Türei;Dezső Módos;Dezső Módos

  • How to design multi-target drugs.

    Tamás Korcsmáros;Máté S Szalay;Csaba Böde;István A Kovács

  • Zinc can increase the activity of protein kinase C and contributes to its binding to plasma membranes in T lymphocytes

    P Csermely;M Szamel;K Resch;J Somogyi

  • Associate Editor: D. Shugar The 90-kDa Molecular Chaperone Family: Structure, Function, and Clinical Applications. A Comprehensive Review

    Péter Csermely;Tamás Schnaider;Zoltán Prohászka;Gábor Nardai

Frequent Co-Authors

Tibor Vellai
Tibor Vellai Eötvös Loránd University
Ichiro Yahara
Ichiro Yahara Tokyo Metropolitan Institute of Medical Science
Gábor Bánhegyi
Gábor Bánhegyi Semmelweis University
Péter Ferdinandy
Péter Ferdinandy Semmelweis University
György Kéri
György Kéri Semmelweis University
László Vígh
László Vígh Hungarian Academy of Sciences
Axel Ullrich
Axel Ullrich Max Planck Institute of Biochemistry
Ruth Nussinov
Ruth Nussinov National Institutes of Health
Balázs Papp
Balázs Papp Biological Research Centre
Sándor Pongor
Sándor Pongor Pázmány Péter Catholic University

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