World's Best Scientists 2026 revealed!
Anna R. Panchenko

Anna R. Panchenko

D-Index & Metrics

Molecular Biology

D-Index
59
Citations
17442
World Ranking
2003
National Ranking
61

Anna R. Panchenko publication distribution in Molecular Biology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Molecular Biology in 2026. The highlighted bar marks where Anna R. Panchenko sits on this spectrum.

47–56 publications: 7 scientists 57–66 publications: 17 scientists 67–76 publications: 65 scientists 77–86 publications: 90 scientists 87–96 publications: 125 scientists 97–106 publications: 131 scientists 107–116 publications: 162 scientists 117–126 publications: 177 scientists 127–136 publications: 158 scientists 137–146 publications: 158 scientists 147–156 publications: 146 scientists 157–166 publications: 159 scientists 167–176 publications: 131 scientists 177–186 publications: 110 scientists 187–196 publications: 112 scientists 197–206 publications: 100 scientists 207–216 publications: 89 scientists 217–226 publications: 98 scientists 227–236 publications: 74 scientists 237–246 publications: 72 scientists 247–256 publications: 63 scientists 257–266 publications: 53 scientists 267–276 publications: 54 scientists 277–286 publications: 49 scientists 287–296 publications: 52 scientists 297–306 publications: 43 scientists 307–316 publications: 46 scientists 317–326 publications: 41 scientists 327–336 publications: 42 scientists 337–346 publications: 31 scientists 347–356 publications: 28 scientists 357–366 publications: 29 scientists 367–376 publications: 26 scientists 377–386 publications: 24 scientists 387–396 publications: 24 scientists 397–406 publications: 14 scientists 407–416 publications: 13 scientists 417–426 publications: 20 scientists 427–436 publications: 12 scientists 437–446 publications: 20 scientists 447–456 publications: 11 scientists 457–466 publications: 10 scientists 467–476 publications: 14 scientists 477–486 publications: 14 scientists 487–496 publications: 10 scientists 497–506 publications: 13 scientists 507–516 publications: 13 scientists 517–526 publications: 2 scientists 527–536 publications: 4 scientists 537–546 publications: 6 scientists 547–556 publications: 8 scientists 557–563 publications: 6 scientists 564+ publications: 100 scientists
47 publications 564+

This scientist: 133 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 564 publications or more.

Anna R. Panchenko D-index placement in Molecular Biology in 2026

The chart shows the D-index (discipline H-index) distribution of Molecular Biology scientists ranked by Research.com in 2026. The highlighted bar marks where Anna R. Panchenko sits on this spectrum.

40–41 D-Index: 36 scientists 42–43 D-Index: 101 scientists 44–45 D-Index: 115 scientists 46–47 D-Index: 121 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 130 scientists 52–53 D-Index: 106 scientists 54–55 D-Index: 116 scientists 56–57 D-Index: 113 scientists 58–59 D-Index: 129 scientists 60–61 D-Index: 120 scientists 62–63 D-Index: 105 scientists 64–65 D-Index: 131 scientists 66–67 D-Index: 95 scientists 68–69 D-Index: 97 scientists 70–71 D-Index: 106 scientists 72–73 D-Index: 83 scientists 74–75 D-Index: 89 scientists 76–77 D-Index: 77 scientists 78–79 D-Index: 70 scientists 80–81 D-Index: 73 scientists 82–83 D-Index: 60 scientists 84–85 D-Index: 48 scientists 86–87 D-Index: 45 scientists 88–89 D-Index: 50 scientists 90–91 D-Index: 31 scientists 92–93 D-Index: 51 scientists 94–95 D-Index: 43 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 39 scientists 100–101 D-Index: 41 scientists 102–103 D-Index: 29 scientists 104–105 D-Index: 33 scientists 106–107 D-Index: 35 scientists 108–109 D-Index: 20 scientists 110–111 D-Index: 38 scientists 112–113 D-Index: 19 scientists 114–115 D-Index: 28 scientists 116–117 D-Index: 13 scientists 118–119 D-Index: 23 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 15 scientists 124–125 D-Index: 11 scientists 126–127 D-Index: 21 scientists 128–129 D-Index: 7 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 14 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 9 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 16 scientists 142–143 D-Index: 7 scientists 144 D-Index: 7 scientists 145+ D-Index: 100 scientists
40 D-Index 145+

This scientist: 59 D-Index — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 145 D-Index or more.

Overview

Anna R. Panchenko is affiliated with Queen's University in Canada and specializes in research primarily within the fields of biochemistry, genetics, and molecular biology. Their work focuses extensively on molecular biology, cancer research, genetics, information systems, and epidemiology, covering a broad spectrum of scientific inquiry.

The scientist's research topics include:

  • Genomics and Chromatin Dynamics
  • Epigenetics and DNA Methylation
  • RNA modifications and cancer
  • Cancer Genomics and Diagnostics
  • Bioinformatics and Genomic Networks
  • RNA Research and Splicing
  • DNA and Nucleic Acid Chemistry

Anna R. Panchenko has published in various venues, with frequent contributions to:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biophysical Journal
  • Journal of Molecular Biology
  • Nucleic Acids Research
  • SSRN Electronic Journal

Some of the recent papers authored or co-authored include:

  • MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions (2020, iScience)
  • Clonal Evolution and Heterogeneity of Osimertinib Acquired Resistance Mechanisms in EGFR Mutant Lung Cancer (2020, Cell Reports Medicine)
  • Distinct Structures and Dynamics of Chromatosomes with Different Human Linker Histone Isoforms (2020, Molecular Cell)
  • DNA methylation: Precise modulation of chromatin structure and dynamics (2022, Current Opinion in Structural Biology)
  • Cancer driver mutations: predictions and reality (2023, Trends in Molecular Medicine)

Their frequent collaborators include:

  • Shuxiang Li
  • David Landsman
  • Yunhui Peng
  • Daniel Espiritu
  • Daria Ostroverkhova

Best Publications

  • CDD: a curated Entrez database of conserved domain alignments

    Aron Marchler-Bauer;John B. Anderson;Carol DeWeese-Scott;Natalie D. Fedorova

  • CDD: a database of conserved domain alignments with links to domain three-dimensional structure

    Aron Marchler-Bauer;Anna R. Panchenko;Benjamin A. Shoemaker;Paul A. Thiessen

  • Deciphering Protein–Protein Interactions. Part I. Experimental Techniques and Databases

    Benjamin A Shoemaker;Anna R Panchenko

  • Deciphering protein-protein interactions. Part II. Computational methods to predict protein and domain interaction partners.

    Benjamin A Shoemaker;Anna R Panchenko

  • Phosphorylation in Protein-Protein Binding: Effect on Stability and Function

    Hafumi Nishi;Kosuke Hashimoto;Anna R. Panchenko

  • Molecular Mechanisms of Disease-Causing Missense Mutations

    Shannon Stefl;Hafumi Nishi;Marharyta Petukh;Anna R. Panchenko

  • MMDB: Entrez's 3D structure database

    Yanli Wang;John B. Anderson;Jie Chen;Lewis Y. Geer

  • Foldons, protein structural modules, and exons

    Anna R. Panchenko;Zaida Ann Luthey-Schulten;Peter G. Wolynes

  • Physicochemical mechanisms of protein regulation by phosphorylation.

    Hafumi Nishi;Alexey Shaytan;Anna R. Panchenko

  • Mechanisms of protein oligomerization, the critical role of insertions and deletions in maintaining different oligomeric states

    Kosuke Hashimoto;Anna R. Panchenko

  • The relationship of protein conservation and sequence length

    David J Lipman;Alexander Souvorov;Eugene V Koonin;Anna R Panchenko

  • Prediction of functional sites by analysis of sequence and structure conservation

    Anna R. Panchenko;Fyodor Kondrashov;Stephen Bryant

  • MutaBind2: Predicting the Impacts of Single and Multiple Mutations on Protein-Protein Interactions.

    Ning Zhang;Yuting Chen;Haoyu Lu;Feiyang Zhao

  • Combination of threading potentials and sequence profiles improves fold recognition.

    Anna R Panchenko;Aron Marchler-Bauer;Stephen H Bryant

  • MMDB: 3D structures and macromolecular interactions

    Thomas Madej;Kenneth J. Addess;Jessica H. Fong;Lewis Y. Geer

  • Intrinsic Disorder in Protein Interactions: Insights From a Comprehensive Structural Analysis

    Jessica H. Fong;Benjamin A. Shoemaker;Sergiy O. Garbuzynskiy;Michail Yu. Lobanov

  • Modeling Effects of Human Single Nucleotide Polymorphisms on Protein-Protein Interactions

    Shaolei Teng;Thomas Madej;Anna Panchenko;Emil Alexov

  • Coupling between Histone Conformations and DNA Geometry in Nucleosomes on a Microsecond Timescale: Atomistic Insights into Nucleosome Functions

    Alexey K. Shaytan;Grigoriy A. Armeev;Alexander Goncearenco;Victor B. Zhurkin

  • HistoneDB 2.0: a histone database with variants--an integrated resource to explore histones and their variants.

    Eli J. Draizen;Alexey K. Shaytan;Leonardo Mariño-Ramírez;Paul B. Talbert

  • Cancer Missense Mutations Alter Binding Properties of Proteins and Their Interaction Networks

    Hafumi Nishi;Manoj Tyagi;Shaolei Teng;Benjamin A. Shoemaker

Frequent Co-Authors

Stephen H. Bryant
Stephen H. Bryant National Institutes of Health
David Landsman
David Landsman National Institutes of Health
Aron Marchler-Bauer
Aron Marchler-Bauer National Institutes of Health
Teresa M. Przytycka
Teresa M. Przytycka National Institutes of Health
Igor B. Rogozin
Igor B. Rogozin National Institutes of Health
Victor B. Zhurkin
Victor B. Zhurkin National Institutes of Health
Youri I. Pavlov
Youri I. Pavlov University of Nebraska Medical Center
Stephen M. Hewitt
Stephen M. Hewitt National Institutes of Health
Peter G. Wolynes
Peter G. Wolynes Rice University
David Neil Cooper
David Neil Cooper Cardiff University

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