World's Best Scientists 2026 revealed!
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Philip M. Kim

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Biology and Biochemistry 53 15912 14605 551 507 117 17618

Philip M. Kim publications per year

The chart shows the history of publications by Philip M. Kim between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Philip M. Kim published across 24 years, from 2003 to 2026, averaging 5.7 papers a year. Output peaked at 11 publications in 2019. 7 of the 137 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 2019. 2003: 3 publications 2004: 0 publications 2005: 1 publication 2006: 2 publications 2007: 5 publications 2008: 6 publications 2009: 3 publications 2010: 9 publications 2011: 7 publications 2012: 8 publications 2013: 4 publications 2014: 7 publications 2015: 5 publications 2016: 7 publications 2017: 8 publications 2018: 5 publications 2019: 11 publications 2020: 5 publications 2021: 9 publications 2022: 9 publications 2023: 8 publications 2024: 8 publications 2025: 6 publications 2026: 1 publication
2003 2026

137 publications in total across all disciplines

View publications per year as a table
Philip M. Kim: publications per year, 2003 to 2026
Year Publications
2003 3
2004 0
2005 1
2006 2
2007 5
2008 6
2009 3
2010 9
2011 7
2012 8
2013 4
2014 7
2015 5
2016 7
2017 8
2018 5
2019 11
2020 5
2021 9
2022 9
2023 8
2024 8
2025 6
2026 1
Total 137
Download as CSV

Philip M. Kim 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 Philip M. Kim sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 100 bars. Horizontal axis: publications, 47–56 to 1,028+. Vertical axis: number of scientists, 0 to 980. Most scientists, 980, have 127–136 publications. The last bar groups every scientist with 1,028 publications or more. The highlighted bar, 117–126 publications, is where this scientist sits. 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 scientist 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientist 1,028+ publications: 100 scientists
47–56 publications 1,028+

This scientist: 117 publications — 11th percentile

11% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Biology and Biochemistry scientists by publication count, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
Publications Scientists This scientist
47–56 8
57–66 35
67–76 106
77–86 231
87–96 413
97–106 546
107–116 704
117–126 848 117
127–136 980
137–146 942
147–156 969
157–166 949
167–176 951
177–186 915
187–196 787
197–206 840
207–216 733
217–226 708
227–236 651
237–246 605
247–256 510
257–266 524
267–276 434
277–286 417
287–296 350
297–306 363
307–316 315
317–326 296
327–336 261
337–346 240
347–356 219
357–366 196
367–376 154
377–386 161
387–396 155
397–406 145
407–416 124
417–426 112
427–436 132
437–446 116
447–456 99
457–466 81
467–476 91
477–486 80
487–496 80
497–506 59
507–516 36
517–526 46
527–536 54
537–546 44
547–556 43
557–566 43
567–576 42
577–586 25
587–596 34
597–606 23
607–616 33
617–626 31
627–636 27
637–646 25
647–656 28
657–666 34
667–676 18
677–686 16
687–696 10
697–706 12
707–716 21
717–726 12
727–736 12
737–746 10
747–756 7
757–766 13
767–776 15
777–786 13
787–796 9
797–806 9
807–816 7
817–826 4
827–836 9
837–846 7
847–856 3
857–866 5
867–876 5
877–886 11
887–896 3
897–906 4
907–916 7
917–926 5
927–936 6
937–946 6
947–956 3
957–966 7
967–976 2
977–986 2
987–996 1
997–1,006 5
1,007–1,016 2
1,017–1,026 2
1,027 1
1,028+ 100
Download as CSV

Philip M. Kim 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 Philip M. Kim sits on this spectrum.

No. of scientists
250 500 750 1,000 1,250
Bar chart with 65 bars. Horizontal axis: D-Index, 40–41 to 167+. Vertical axis: number of scientists, 0 to 1,253. Most scientists, 1,253, have 58–59 D-Index. The last bar groups every scientist with 167 D-Index or more. The highlighted bar, 52–53 D-Index, is where this scientist sits. 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
40–41 D-Index 167+

This scientist: 53 D-Index — 19th percentile

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

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

View D-Index distribution as a table
Number of Biology and Biochemistry scientists by D-index, Research.com 2026 ranking edition. Based on 19,587 ranked scientists.
D-Index Scientists This scientist
40–41 80
42–43 183
44–45 316
46–47 504
48–49 718
50–51 899
52–53 1,025 53
54–55 1,149
56–57 1,235
58–59 1,253
60–61 1,162
62–63 1,130
64–65 1,031
66–67 897
68–69 814
70–71 714
72–73 709
74–75 596
76–77 512
78–79 473
80–81 412
82–83 373
84–85 358
86–87 285
88–89 273
90–91 227
92–93 208
94–95 193
96–97 153
98–99 157
100–101 148
102–103 120
104–105 113
106–107 100
108–109 86
110–111 67
112–113 71
114–115 73
116–117 64
118–119 53
120–121 60
122–123 54
124–125 43
126–127 38
128–129 49
130–131 26
132–133 18
134–135 23
136–137 32
138–139 32
140–141 27
142–143 19
144–145 22
146–147 12
148–149 16
150–151 14
152–153 10
154–155 13
156–157 10
158–159 7
160–161 9
162–163 13
164–165 4
166 4
167+ 98
Download as CSV

Overview

Philip M. Kim is affiliated with the University of Toronto in Canada. Their research primarily spans the broad discipline of Biochemistry, Genetics and Molecular Biology, with a significant focus on Molecular Biology. Additional subfields include Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Materials Chemistry, and Artificial Intelligence.

The scientist's research covers an array of interconnected topics, which include:

  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Machine Learning in Bioinformatics
  • Monoclonal and Polyclonal Antibodies Research
  • Chemical Synthesis and Analysis
  • Computational Drug Discovery Methods
  • Genomics and Phylogenetic Studies

Philip M. Kim has contributed to publications in multiple venues, with frequent appearances in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Nature Biotechnology
  • Nature Computational Science
  • Journal of Medicinal Chemistry

Significant recent papers authored or coauthored by the scientist include:

  • Fast and Flexible Protein Design Using Deep Graph Neural Networks, 2020, Cell Systems
  • Computational and artificial intelligence-based methods for antibody development, 2023, Trends in Pharmacological Sciences
  • A universal deep-learning model for zinc finger design enables transcription factor reprogramming, 2023, Nature Biotechnology
  • PepNN: a deep attention model for the identification of peptide binding sites, 2022, Communications Biology
  • Score-based generative modeling for de novo protein design, 2023, Nature Computational Science

The collaboration network of Philip M. Kim includes frequent coauthors:

  • Pedro A. Valiente
  • Osama Abdin
  • Satra Nim
  • Alexey Strokach
  • Carles Corbi-Verge

Best Publications

  • The genetic landscape of a cell.

    Michael Costanzo;Anastasia Baryshnikova;Jeremy Bellay;Yungil Kim

  • Classification of intrinsically disordered regions and proteins.

    Robin van der Lee;Robin van der Lee;Marija Buljan;Benjamin Lang;Robert J. Weatheritt

  • Paired-end mapping reveals extensive structural variation in the human genome.

    Jan O. Korbel;Alexander Eckehart Urban;Jason P. Affourtit;Brian Godwin

  • The Evolutionary Landscape of Alternative Splicing in Vertebrate Species

    Nuno L. Barbosa-Morais;Nuno L. Barbosa-Morais;Manuel Irimia;Qun Pan;Hui Y. Xiong

  • The importance of bottlenecks in protein networks: correlation with gene essentiality and expression dynamics.

    Haiyuan Yu;Philip M Kim;Emmett Sprecher;Valery Trifonov

  • Relating three-dimensional structures to protein networks provides evolutionary insights.

    Philip M. Kim;Long J. Lu;Yu Xia;Mark B. Gerstein

  • Tissue-Specific Alternative Splicing Remodels Protein-Protein Interaction Networks

    Jonathan D. Ellis;Miriam Barrios-Rodiles;Recep Çolak;Manuel Irimia

  • Deciphering protein kinase specificity through large-scale analysis of yeast phosphorylation site motifs

    Janine Mok;Philip M. Kim;Philip M. Kim;Hugo Y.K. Lam;Stacy Piccirillo

  • C2H2 zinc finger proteins greatly expand the human regulatory lexicon

    Hamed S Najafabadi;Sanie Mnaimneh;Frank W Schmitges;Michael Garton

  • Subsystem Identification Through Dimensionality Reduction of Large-Scale Gene Expression Data

    Philip M. Kim;Bruce Tidor

  • The role of disorder in interaction networks: a structural analysis

    Philip M Kim;Andrea Sboner;Yu Xia;Mark Gerstein

  • Nucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint library

    Hugo Y K Lam;Xinmeng Jasmine Mu;Adrian M Stütz;Andrea Tanzer

  • Bayesian Modeling of the Yeast SH3 Domain Interactome Predicts Spatiotemporal Dynamics of Endocytosis Proteins

    Raffi Tonikian;Xiaofeng Xin;Christopher P. Toret;David Gfeller

  • Fast and Flexible Protein Design Using Deep Graph Neural Networks

    Alexey Strokach;David Becerra;Carles Corbi-Verge;Albert Perez-Riba

  • Analysis of copy number variants and segmental duplications in the human genome: Evidence for a change in the process of formation in recent evolutionary history

    Philip M. Kim;Hugo Y.K. Lam;Alexander E. Urban;Jan O. Korbel

  • Positive selection at the protein network periphery: evaluation in terms of structural constraints and cellular context.

    Philip M. Kim;Jan O. Korbel;Mark B. Gerstein

  • Bringing order to protein disorder through comparative genomics and genetic interactions

    Jeremy Bellay;Sangjo Han;Magali Michaut;Tae Hyung Kim

  • Large-scale interaction profiling of PDZ domains through proteomic peptide-phage display using human and viral phage peptidomes

    Ylva Ivarsson;Roland Arnold;Megan McLaughlin;Satra Nim

  • Coevolution of PDZ domain–ligand interactions analyzed by high-throughput phage display and deep sequencing

    Andreas Ernst;David Gfeller;Zhengyan Kan;Somasekar Seshagiri

  • Quantitative Genome-Wide Genetic Interaction Screens Reveal Global Epistatic Relationships of Protein Complexes in Escherichia coli

    Mohan Babu;Roland Arnold;Cedoljub Bundalovic-Torma;Alla Gagarinova

Frequent Co-Authors

Mark Gerstein
Mark Gerstein Yale University
Sachdev S. Sidhu
Sachdev S. Sidhu University of Waterloo
Michael Snyder
Michael Snyder Stanford University
Kevin Y. Yip
Kevin Y. Yip Chinese University of Hong Kong
Gary D. Bader
Gary D. Bader University of Toronto
Charles Boone
Charles Boone University of Toronto
Jan O. Korbel
Jan O. Korbel European Molecular Biology Laboratory
Brenda J. Andrews
Brenda J. Andrews University of Toronto
Jason Moffat
Jason Moffat University of Toronto
Chad L. Myers
Chad L. Myers University of Minnesota

External Links

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Best Scientists Citing Philip M. Kim

Vladimir N. Uversky

Vladimir N. Uversky

University of South Florida

Publications: 150

Charles Boone

Charles Boone

University of Toronto

Publications: 104

Chad L. Myers

Chad L. Myers

University of Minnesota

Publications: 67

Peter Tompa

Peter Tompa

Vrije Universiteit Brussel

Publications: 66

Mark Gerstein

Mark Gerstein

Yale University

Publications: 66

Nevan J. Krogan

Nevan J. Krogan

University of California, San Francisco

Publications: 65

Michael Costanzo

Michael Costanzo

University of Toronto

Publications: 65

Evan E. Eichler

Evan E. Eichler

University of Washington

Publications: 61

Brenda J. Andrews

Brenda J. Andrews

University of Toronto

Publications: 59

Michael Snyder

Michael Snyder

Stanford University

Publications: 44

Jan O. Korbel

Jan O. Korbel

European Molecular Biology Laboratory

Publications: 36

Anne-Claude Gingras

Anne-Claude Gingras

Lunenfeld-Tanenbaum Research Institute

Publications: 35

Benjamin E. Turk

Benjamin E. Turk

Yale University

Publications: 35

Manuel Irimia

Manuel Irimia

Pompeu Fabra University

Publications: 34

Benjamin J. Blencowe

Benjamin J. Blencowe

University of Toronto

Publications: 34

Frederick P. Roth

Frederick P. Roth

Lunenfeld-Tanenbaum Research Institute

Publications: 33

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