World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
72
Citations
20603
World Ranking
6236
National Ranking
2933

Chung-Jung Tsai 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 Chung-Jung Tsai 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: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 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: 418 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: 197 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: 60 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: 170 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Chung-Jung Tsai 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 Chung-Jung Tsai sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 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: 72 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: 72 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Chung-Jung Tsai is affiliated with Leidos in the United States and has contributed extensively to the field of biochemistry, genetics, and molecular biology, with a focus on molecular biology, cancer research, and genetics. Their research spans several subfields including cell biology and pulmonary and respiratory medicine.

The main areas of study in Tsai's work cover a broad spectrum of modern biological research topics. These include bioinformatics and genomic networks, cancer genomics and diagnostics, protein degradation and inhibitors, protein kinase regulation and GTPase signaling, genetics and neurodevelopmental disorders, genomics and chromatin dynamics, and the application of machine learning in bioinformatics.

Tsai has published research in a variety of scientific venues, frequently appearing in the Journal of Molecular Biology, Current Opinion in Structural Biology, Cancer Research, Bioinformatics, and bioRxiv hosted by Cold Spring Harbor Laboratory.

  • Journal of Molecular Biology
  • Current Opinion in Structural Biology
  • Cancer Research
  • Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)

Among the recent notable publications by Tsai are:

  • Anticancer drug resistance: An update and perspective (2021, Drug Resistance Updates)
  • Allostery: Allosteric Cancer Drivers and Innovative Allosteric Drugs (2022, Journal of Molecular Biology)
  • How can same-gene mutations promote both cancer and developmental disorders? (2022, Science Advances)
  • Neurodevelopmental disorders, like cancer, are connected to impaired chromatin remodelers, PI3K/mTOR, and PAK1-regulated MAPK (2023, Biophysical Reviews)
  • Ras assemblies and signaling at the membrane (2020, Current Opinion in Structural Biology)

Tsai has collaborated frequently with several co-authors, including Ruth Nussinov, Hyunbum Jang, Mingzhen Zhang, Bengi Ruken Yavuz, and Nurcan Tunçbağ. These collaborations have produced multiple publications, indicating active partnerships in molecular biology and cancer-related research.

  • Ruth Nussinov
  • Hyunbum Jang
  • Mingzhen Zhang
  • Bengi Ruken Yavuz
  • Nurcan Tunçbağ

Best Publications

  • Factors enhancing protein thermostability

    Sandeep Kumar;Chung-Jung Tsai;Ruth Nussinov

  • FOLDING FUNNELS, BINDING FUNNELS, AND PROTEIN FUNCTION

    Chung-Jung Tsai;Sandeep Kumar;Buyong Ma;Ruth Nussinov;Ruth Nussinov

  • Folding funnels and binding mechanisms.

    Buyong Ma;Sandeep Kumar;Chung-Jung Tsai;Ruth Nussinov

  • Folding and binding cascades: dynamic landscapes and population shifts.

    Sandeep Kumar;Buyong Ma;Chung-Jung Tsai;Neeti Sinha

  • Allostery in Disease and in Drug Discovery

    Ruth Nussinov;Ruth Nussinov;Chung-Jung Tsai

  • Studies of protein‐protein interfaces: A statistical analysis of the hydrophobic effect

    Chung-Jung Tsai;Shuo Liang Lin;Haim J. Wolfson;Ruth Nussinov;Ruth Nussinov

  • Hydrogen bonds and salt bridges across protein-protein interfaces.

    Dong Xu;Chung Jung Tsai;Ruth Nussinov

  • Allostery: absence of a change in shape does not imply that allostery is not at play.

    Chung-Jung Tsai;Antonio del Sol;Ruth Nussinov;Ruth Nussinov

  • The origin of allosteric functional modulation: multiple pre-existing pathways.

    Antonio del Sol;Chung-Jung Tsai;Buyong Ma;Ruth Nussinov;Ruth Nussinov

  • FOLDING AND BINDING CASCADES : SHIFTS IN ENERGY LANDSCAPES

    Chung-Jung Tsai;Buyong Ma;Ruth Nussinov

  • A unified view of "how allostery works".

    Chung-Jung Tsai;Ruth Nussinov

  • Extended disordered proteins: targeting function with less scaffold

    Kannan Gunasekaran;Chung-Jung Tsai;Sandeep Kumar;David Zanuy

  • Protein allostery, signal transmission and dynamics: a classification scheme of allosteric mechanisms

    Chung-Jung Tsai;Antonio del Sol;Ruth Nussinov;Ruth Nussinov

  • Allostery in Its Many Disguises: From Theory to Applications

    Shoshana J. Wodak;Emanuele Paci;Nikolay V. Dokholyan;Nikolay V. Dokholyan;Igor N. Berezovsky

  • Theoretical study of the (H2O)6 cluster

    C.J. Tsai;K.D. Jordan

  • Synonymous mutations and ribosome stalling can lead to altered folding pathways and distinct minima.

    Chung-Jung Tsai;Zuben E. Sauna;Chava Kimchi-Sarfaty;Suresh V. Ambudkar

  • Use of an eigenmode method to locate the stationary points on the potential energy surfaces of selected argon and water clusters

    C. J. Tsai;K. D. Jordan

  • Theoretical study of small water clusters : low-energy fused cubic structures for (H2O)n, n = 8, 12, 16, and 20

    C. J. Tsai;K. D. Jordan

  • A new, structurally nonredundant, diverse data set of protein–protein interfaces and its implications

    Ozlem Keskin;Ozlem Keskin;Chung-Jung Tsai;Haim Wolfson;Ruth Nussinov;Ruth Nussinov

  • Allostery without a conformational change? Revisiting the paradigm.

    Ruth Nussinov;Ruth Nussinov;Chung-Jung Tsai

Frequent Co-Authors

Ruth Nussinov
Ruth Nussinov National Institutes of Health
Buyong Ma
Buyong Ma Shanghai Jiao Tong University
Hyunbum Jang
Hyunbum Jang Leidos (United States)
Haim J. Wolfson
Haim J. Wolfson Tel Aviv University
Ozlem Keskin
Ozlem Keskin Koç University
Attila Gursoy
Attila Gursoy Koç University
Jie Zheng
Jie Zheng University of Akron
David Fushman
David Fushman University of Maryland, College Park
Feixiong Cheng
Feixiong Cheng Case Western Reserve University
Jacob V. Maizel
Jacob V. Maizel National Institutes of Health

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