World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
13747
World Ranking
10245
National Ranking
4469

Feng Ding 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 Feng Ding 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: 198 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Feng Ding 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 Feng Ding 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: 63 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Feng Ding is affiliated with Clemson University in the United States. Their research spans multiple areas within biochemistry, medicine, and materials science, with a significant focus on molecular biology and physiology among subfields. The scientist's work includes contributions to biomaterials, materials chemistry, and neurology.

The primary topics explored by Feng Ding include:

  • Alzheimer's disease research and treatments
  • Protein structure and dynamics
  • Aerogels and thermal insulation
  • Supramolecular self-assembly in materials
  • RNA research and splicing
  • Nanoparticle-based drug delivery
  • RNA modifications and cancer

Feng Ding has published across a range of venues, with the most frequent publication outlets being:

  • Journal of Chemical Information and Modeling
  • Biophysical Journal
  • UNC Libraries
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)

Recent representative papers authored or co-authored by Feng Ding illustrate the diversity of their research interests and are as follows:

  • Chemical and Biophysical Signatures of the Protein Corona in Nanomedicine, 2022, Journal of the American Chemical Society
  • RNA-Puzzles Round IV: 3D Structure Predictions of Four Ribozymes and Two Aptamers, 2020, RNA
  • Anionic Nanoplastic Exposure Induces Endothelial Leakiness, 2022, Nature Communications
  • Accelerated Amyloid Beta Pathogenesis by Bacterial Amyloid FapC, 2020, Advanced Science
  • Amyloid Aggregation under the Lens of Liquid-Liquid Phase Separation, 2020, The Journal of Physical Chemistry Letters

Frequent collaborators with whom Feng Ding has worked include:

  • Yunxiang Sun
  • Pu Chun Ke
  • Nikolaos K. Andrikopoulos
  • Sizhao Zhang
  • Fengjuan Huang

The multidisciplinary nature of Feng Ding's research integrates experimental and computational approaches, addressing complex topics such as protein dynamics and disease mechanisms along with materials chemistry relevant to drug delivery and nanomedicine.

Best Publications

  • Automated minimization of steric clashes in protein structures.

    Srinivas Ramachandran;Pradeep Kota;Feng Ding;Nikolay V. Dokholyan

  • Eris: an automated estimator of protein stability.

    Shuangye Yin;Feng Ding;Nikolay V Dokholyan

  • Engineered Allosteric Activation of Kinases in Living Cells

    Andrei Karginov;Feng Ding;Pradeep Kota;Nikolay Dokholyan

  • Topological determinants of protein folding

    Nikolay V. Dokholyan;Lewyn Li;Feng Ding;Eugene I. Shakhnovich

  • Ab Initio Folding of Proteins with All-Atom Discrete Molecular Dynamics

    Feng Ding;Douglas Tsao;Huifen Nie;Nikolay V. Dokholyan

  • Mechanism for the α‐helix to β‐hairpin transition

    Feng Ding;Jose M. Borreguero;Sergey V. Buldyrey;H. Eugene Stanley

  • Implications of peptide assemblies in amyloid diseases

    Pu Chun Ke;Marc Antonie Sani;Feng Ding;Aleksandr Kakinen

  • Ab initio RNA folding by discrete molecular dynamics: From structure prediction to folding mechanisms

    Feng Ding;Shantanu Sharma;Poornima Chalasani;Vadim V. Demidov

  • RNA-Puzzles: A CASP-like evaluation of RNA three-dimensional structure prediction

    José Almeida Cruz;Marc Frédérick Blanchet;Michal Boniecki;Janusz M. Bujnicki;Janusz M. Bujnicki

  • iFoldRNA: three-dimensional RNA structure prediction and folding

    Shantanu Sharma;Feng Ding;Nikolay V. Dokholyan

  • Molecular Dynamics Simulation of Amyloid β Dimer Formation

    B. Urbanc;L. Cruz;F. Ding;F. Ding;D. Sammond

  • Emergence of Protein Fold Families through Rational Design

    Feng Ding;Nikolay V Dokholyan

  • Discrete molecular dynamics: an efficient and versatile simulation method for fine protein characterization.

    David Shirvanyants;Feng Ding;Douglas Tsao;Srinivas Ramachandran

  • Molecular dynamics simulation of the SH3 domain aggregation suggests a generic amyloidogenesis mechanism.

    Feng Ding;Nikolay V. Dokholyan;Nikolay V. Dokholyan;Sergey V. Buldyrev;H. Eugene Stanley

  • Modeling Backbone Flexibility Improves Protein Stability Estimation

    Shuangye Yin;Feng Ding;Nikolay V. Dokholyan

  • RNA-Puzzles Round II: assessment of RNA structure prediction programs applied to three large RNA structures

    Zhichao Miao;Ryszard W. Adamiak;Marc Frédérick Blanchet;Michal Boniecki

  • RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme

    Zhichao Miao;Ryszard W. Adamiak;Ryszard W. Adamiak;Maciej Antczak;Robert T. Batey

  • Folding Trp-cage to NMR resolution native structure using a coarse-grained protein model.

    Feng Ding;Sergey V. Buldyrev;Nikolay V. Dokholyan

  • Dynamical roles of metal ions and the disulfide bond in Cu, Zn superoxide dismutase folding and aggregation.

    Feng Ding;Nikolay V. Dokholyan

  • Direct Molecular Dynamics Observation of Protein Folding Transition State Ensemble

    Feng Ding;Nikolay V. Dokholyan;Sergey V. Buldyrev;H. Eugene Stanley

Frequent Co-Authors

Nikolay V. Dokholyan
Nikolay V. Dokholyan Pennsylvania State University
Thomas P. Davis
Thomas P. Davis University of Queensland
Kevin M. Weeks
Kevin M. Weeks University of North Carolina at Chapel Hill
Sergey V. Buldyrev
Sergey V. Buldyrev Yeshiva University
Eugene I. Shakhnovich
Eugene I. Shakhnovich Harvard University
H. Eugene Stanley
H. Eugene Stanley Boston University
Anthony W. Purcell
Anthony W. Purcell Monash University
Jozef Adamcik
Jozef Adamcik ETH Zurich

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