World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
73
Citations
24104
World Ranking
4879
National Ranking
903

Buyong Ma publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Buyong Ma sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 237 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Buyong Ma D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Buyong Ma sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 73 D-Index — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Overview

Buyong Ma is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the fields of Biochemistry, Genetics, and Molecular Biology, with a publication record spanning 61 works. Their research intersects with Medicine, covering 36 publications. The scientist's subfield expertise includes Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Computational Theory and Mathematics, and Oncology.

Their work addresses various main topics, including:

  • Monoclonal and Polyclonal Antibodies Research
  • Computational Drug Discovery Methods
  • RNA and protein synthesis mechanisms
  • RNA modifications and cancer
  • Glycosylation and Glycoproteins Research
  • Protein Structure and Dynamics
  • Alzheimer's disease research and treatments

Buyong Ma's research has been published in multiple venues, with frequent appearances in bioRxiv (Cold Spring Harbor Laboratory), Antibodies, International Journal of Molecular Sciences, Nature Communications, and The Journal of Physical Chemistry B.

Notable recent papers include:

  • "Amyloid Oligomers: A Joint Experimental/Computational Perspective on Alzheimer's Disease, Parkinson's Disease, Type II Diabetes, and Amyotrophic Lateral Sclerosis" (2021) published in Chemical Reviews
  • "Visualizing RNA conformational and architectural heterogeneity in solution" (2023) published in Nature Communications
  • "Accelerating antibody discovery and design with artificial intelligence: Recent advances and prospects" (2023) published in Seminars in Cancer Biology
  • "Recent Progress in Antibody Epitope Prediction" (2023) published in Antibodies
  • "A supramolecular assembly strategy for hydrophilic drug delivery towards synergistic cancer treatment" (2023) published in Acta Biomaterialia

Frequent collaborators include Ruth Nussinov, Yanjing Wang, Ganggang Bai, Chuance Sun, and Xincheng Zeng, reflecting interdisciplinary teamwork and sustained partnerships in their scientific endeavors.

Best Publications

  • Principles of docking: An overview of search algorithms and a guide to scoring functions

    Inbal Halperin;Buyong Ma;Haim Wolfson;Ruth Nussinov;Ruth Nussinov

  • Is allostery an intrinsic property of all dynamic proteins

    K. Gunasekaran;Buyong Ma;Ruth Nussinov;Ruth Nussinov

  • Aβ(1–42) fibril structure illuminates self-recognition and replication of amyloid in Alzheimer's disease

    Yiling Xiao;Buyong Ma;Dan McElheny;Sudhakar Parthasarathy

  • Principles of Protein−Protein Interactions: What are the Preferred Ways For Proteins To Interact?

    Ozlem Keskin;Attila Gursoy;Buyong Ma;Ruth Nussinov

  • FOLDING FUNNELS, BINDING FUNNELS, AND PROTEIN FUNCTION

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

  • Protein–protein interactions: Structurally conserved residues distinguish between binding sites and exposed protein surfaces

    Buyong Ma;Tal Elkayam;Haim Wolfson;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

  • Hot Regions in Protein-Protein Interactions: The Organization and Contribution of Structurally Conserved Hot Spot Residues

    Ozlem Keskin;Buyong Ma;Ruth Nussinov;Ruth Nussinov

  • Amyloid oligomers: A joint experimental/computational perspective on Alzheimer's disease, Parkinson's disease, type II diabetes, and amyotrophic lateral sclerosis

    Phuong H. Nguyen;Ayyalusamy Ramamoorthy;Bikash R. Sahoo;Jie Zheng

  • Stabilities and conformations of Alzheimer's beta -amyloid peptide oligomers (Abeta 16-22, Abeta 16-35, and Abeta 10-35): Sequence effects.

    Buyong Ma;Ruth Nussinov

  • Multiple diverse ligands binding at a single protein site: a matter of pre-existing populations.

    Buyong Ma;Maxim Shatsky;Haim J. Wolfson;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

  • Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell.

    Guanghong Wei;Wenhui Xi;Ruth Nussinov;Buyong Ma

  • FOLDING AND BINDING CASCADES : SHIFTS IN ENERGY LANDSCAPES

    Chung-Jung Tsai;Buyong Ma;Ruth Nussinov

  • Conservation of polar residues as hot spots at protein interfaces.

    Zengjian Hu;Buyong Ma;Haim Wolfson;Ruth Nussinov

  • Zinc ions promote Alzheimer Aβ aggregation via population shift of polymorphic states

    Yifat Miller;Buyong Ma;Ruth Nussinov

  • Polymorphism in Alzheimer Aβ Amyloid Organization Reflects Conformational Selection in a Rugged Energy Landscape

    Yifat Miller;Buyong Ma;Ruth Nussinov

  • Enzyme dynamics point to stepwise conformational selection in catalysis.

    Buyong Ma;Ruth Nussinov;Ruth Nussinov

  • Simulations as analytical tools to understand protein aggregation and predict amyloid conformation.

    Buyong Ma;Ruth Nussinov;Ruth Nussinov

  • Protein-protein interactions: hot spots and structurally conserved residues often locate in complemented pockets that pre-organized in the unbound states: implications for docking.

    Xiang Li;Ozlem Keskin;Ozlem Keskin;Buyong Ma;Ruth Nussinov;Ruth Nussinov

Frequent Co-Authors

Ruth Nussinov
Ruth Nussinov National Institutes of Health
Chung-Jung Tsai
Chung-Jung Tsai Leidos (United States)
Guanghong Wei
Guanghong Wei Fudan University
Henry F. Schaefer
Henry F. Schaefer University of Georgia
Jie Zheng
Jie Zheng University of Akron
Haim J. Wolfson
Haim J. Wolfson Tel Aviv University
Ozlem Keskin
Ozlem Keskin Koç University
Norman L. Allinger
Norman L. Allinger University of Georgia
David S. Waugh
David S. Waugh National Institutes of Health
Roy A. Mariuzza
Roy A. Mariuzza University of Maryland, College Park

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