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Tamar Schlick

D-Index & Metrics

Biology and Biochemistry

D-Index
77
Citations
20077
World Ranking
4811
National Ranking
2321

Tamar Schlick 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 Tamar Schlick 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: 317 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Tamar Schlick 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 Tamar Schlick 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: 77 D-Index — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - SIAM Fellow For contributions to integration, optimization, and modeling techniques for the study of biomolecular structure and function.
  • 2005 - Fellow of American Physical Society (APS) Citation Dr Tamar Schlick has developed methods for molecular dynamics computations of biological molecules that have elucidated the structure and function of supercoiled DNA and chromatin, and led to new insights into DNA polymerase mechanisms and RNA structure
  • 2003 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2000 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1993 - Fellow of Alfred P. Sloan Foundation

Overview

Tamar Schlick is affiliated with New York University in the United States. Their research predominantly lies within the field of Biochemistry, Genetics, and Molecular Biology, with specific focus on Molecular Biology, Plant Science, Ecology, Infectious Diseases, and Genetics as subfields.

The scientist's main research topics include:

  • Genomics and Chromatin Dynamics
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • RNA modifications and cancer
  • Chromosomal and Genetic Variations
  • Bacteriophages and microbial interactions
  • CRISPR and Genetic Engineering

Schlick has contributed to publications in several venues, with frequent appearances in:

  • Biophysical Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • Proceedings of the National Academy of Sciences

Recent notable papers include:

  • "Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture," 2020, Nature
  • "Biomolecular modeling thrives in the age of technology," 2021, Nature Computational Science
  • "Mesoscale Modeling and Single-Nucleosome Tracking Reveal Remodeling of Clutch Folding and Dynamics in Stem Cell Differentiation," 2021, Cell Reports
  • "To Knot or Not to Knot: Multiple Conformations of the SARS-CoV-2 Frameshifting RNA Element," 2021, Journal of the American Chemical Society
  • "Biomolecular Modeling and Simulation: A Prospering Multidisciplinary Field," 2021, Annual Review of Biophysics

Frequent co-authors collaborating with Schlick include:

  • Stephanie Portillo-Ledesma
  • Shuting Yan
  • Zilong Li
  • Qiyao Zhu
  • Alain Laederach

The scientist has received several fellowships and honors, including:

  • SIAM Fellow (2012) for contributions to integration, optimization, and modeling techniques for the study of biomolecular structure and function
  • Fellow of the American Physical Society (APS) (2005) with recognition for work on molecular dynamics computations of biological molecules, elucidating DNA and RNA mechanisms
  • Fellow of the American Association for the Advancement of Science (AAAS) (2003)
  • Fellow of John Simon Guggenheim Memorial Foundation (2000)
  • Fellow of Alfred P. Sloan Foundation (1993)

Best Publications

  • Molecular Modeling and Simulation: An Interdisciplinary Guide

    Tamar Schlick

  • Cohesin Loss Eliminates All Loop Domains

    Suhas S.P. Rao;Suhas S.P. Rao;Su Chen Huang;Brian Glenn St Hilaire;Brian Glenn St Hilaire;Jesse M. Engreitz

  • Lecture Notes in Computational Science and Engineering

    M. Griebel;D. Roose;T. Schlick;A. Tveito

  • Computational Partial Differential Equations: Numerical Methods and Diffpack Programming

    Hans Petter Langtangen;D. Keyes;R. Nieminen;M. Griebel

  • Evidence for heteromorphic chromatin fibers from analysis of nucleosome interactions

    Sergei A. Grigoryev;Gaurav Arya;Sarah Correll;Christopher L. Woodcock

  • Algorithmic Challenges in Computational Molecular Biophysics

    Tamar Schlick;Robert D Skeel;Axel T Brunger;Laxmikant V Kalé

  • Optimized particle-mesh Ewald/multiple-time step integration for molecular dynamics simulations

    Paul F. Batcho;David A. Case;Tamar Schlick

  • Exploring the repertoire of RNA secondary motifs using graph theory; implications for RNA design

    Hin Hark Gan;Samuela Pasquali;Tamar Schlick

  • Modeling superhelical DNA: recent analytical and dynamic approaches

    Tamar Schlick

  • Role of histone tails in chromatin folding revealed by a mesoscopic oligonucleosome model.

    Gaurav Arya;Tamar Schlick

  • A Family of Symplectic Integrators: Stability, Accuracy, and Molecular Dynamics Applications

    Robert D. Skeel;Guihua Zhang;Tamar Schlick

  • A Tale of Tails: How Histone Tails Mediate Chromatin Compaction in Different Salt and Linker Histone Environments†

    Gaurav Arya;Tamar Schlick

  • Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture

    Nevin Yusufova;Andreas Kloetgen;Matt Teater;Adewola Osunsade

  • Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods

    X. Zou;I. M. Navon;M. Berger;K. H. Phua

  • Critical role of magnesium ions in DNA polymerase beta's closing and active site assembly.

    Linjing Yang;Karunesh Arora;William A. Beard;Samuel H. Wilson

  • A-Tract bending: insights into experimental structures by computational models.

    Daniel Strahs;Tamar Schlick

  • Biomolecular dynamics at long timesteps: bridging the timescale gap between simulation and experimentation.

    Tamar Schlick;Eric Barth;Margaret Mandziuk

  • Biomolecular modeling and simulation: a field coming of age

    Tamar Schlick;Rosana Collepardo-Guevara;Leif Arthur Halvorsen;Segun Jung

  • A Combined Wormlike-Chain and Bead Model for Dynamic Simulations of Long Linear DNA

    Hongmei Jian;Alexander V. Vologodskii;Tamar Schlick

  • Computational approaches to RNA structure prediction, analysis, and design.

    Christian Laing;Tamar Schlick

Frequent Co-Authors

Michael Griebel
Michael Griebel University of Bonn
Dirk Roose
Dirk Roose KU Leuven
William A. Beard
William A. Beard National Institutes of Health
Samuel H. Wilson
Samuel H. Wilson National Institutes of Health
Charles S. Peskin
Charles S. Peskin Courant Institute of Mathematical Sciences
Wilma K. Olson
Wilma K. Olson Rutgers, The State University of New Jersey
Suse Broyde
Suse Broyde New York University
Robert D. Skeel
Robert D. Skeel Purdue University West Lafayette
Michael L. Overton
Michael L. Overton Courant Institute of Mathematical Sciences
Eric S. Lander
Eric S. Lander Broad Institute

External Links

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