World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
29383
World Ranking
4464
National Ranking
2169

Jens Meiler 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 Jens Meiler 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: 413 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 848 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 949 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 840 scientists 207–216 publications: 733 scientists 217–226 publications: 708 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: 417 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: 196 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: 59 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: 523 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Jens Meiler 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 Jens Meiler sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 316 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 899 scientists 52–53 D-Index: 1,025 scientists 54–55 D-Index: 1,149 scientists 56–57 D-Index: 1,235 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,162 scientists 62–63 D-Index: 1,130 scientists 64–65 D-Index: 1,031 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 714 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: 71 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: 78 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Overview

Jens Meiler is affiliated with Vanderbilt University in the United States. Their research spans multiple fields, primarily within Biochemistry, Genetics and Molecular Biology, and Medicine. The scientist's work is specifically focused on subfields such as Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, and Oncology.

The main research topics covered by Jens Meiler include:

  • Protein Structure and Dynamics
  • Receptor Mechanisms and Signaling
  • RNA and protein synthesis mechanisms
  • Monoclonal and Polyclonal Antibodies Research
  • Computational Drug Discovery Methods
  • Ion channel regulation and function
  • Machine Learning in Bioinformatics

Jens Meiler has co-authored extensively with several researchers, notably including:

  • Rocco Moretti
  • Georg Kuenze
  • Alican Gulsevin
  • Benjamin P. Brown
  • Clara T. Schoeder

The scientist's publications are frequently found in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biophysical Journal
  • PLoS Computational Biology
  • eLife
  • Structure

Recent papers by Jens Meiler demonstrate involvement in research touching molecular immunology, computational modeling, and protein structure prediction methods. These include:

  • Potently neutralizing and protective human antibodies against SARS-CoV-2, 2020, Nature
  • Macromolecular modeling and design in Rosetta: recent methods and frameworks, 2020, Nature Methods
  • Sampling alternative conformational states of transporters and receptors with AlphaFold2, 2022, eLife
  • Modeling conformational states of proteins with AlphaFold, 2023, Current Opinion in Structural Biology
  • Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules, 2020, UNC Libraries

Best Publications

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

  • Computational Methods in Drug Discovery

    Gregory Sliwoski;Sandeepkumar Kothiwale;Jens Meiler;Edward W. Lowe

  • Recognition Dynamics Up to Microseconds Revealed from an RDC-Derived Ubiquitin Ensemble in Solution

    Oliver F. Lange;Nils Alexander Lakomek;Christophe Farès;Gunnar F. Schröder

  • Potently neutralizing and protective human antibodies against SARS-CoV-2.

    Seth J. Zost;Pavlo Gilchuk;James Brett Case;Elad Binshtein

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

  • RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite

    Sarel J. Fleishman;Andrew Leaver-Fay;Jacob E. Corn;Eva Maria Strauch

  • Structure of a Class C GPCR Metabotropic Glutamate Receptor 1 Bound to an Allosteric Modulator

    Huixian Wu;Chong Wang;Karen J. Gregory;Karen J. Gregory;Gye Won Han

  • Rosettaligand : Protein-small molecule docking with full side-chain flexibility

    Jens Meiler;David Baker

  • Practically Useful: What the Rosetta Protein Modeling Suite Can Do for You

    Kristian W. Kaufmann;Gordon H. Lemmon;Samuel L. DeLuca;Jonathan H. Sheehan

  • New algorithms and an in silico benchmark for computational enzyme design

    Alexandre Zanghellini;Lin Jiang;Andrew M. Wollacott;Gong Cheng

  • Solvent accessible surface area approximations for rapid and accurate protein structure prediction

    Elizabeth Durham;Brent Dorr;Nils Woetzel;René Staritzbichler

  • Model-Free Approach to the Dynamic Interpretation of Residual Dipolar Couplings in Globular Proteins

    Jens Meiler;Jeanine J. Prompers;Wolfgang Peti;Christian Griesinger

  • Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008

    Mayako Michino;Enrique Abola;Charles L. Brooks;J. Scott Dixon

  • Generation and evaluation of dimension-reduced amino acid parameter representations by artificial neural networks

    Jens Meiler;Michael Müller;Anita Zeidler;Felix Schmäschke

  • Opportunities and challenges in the discovery of allosteric modulators of GPCRs for treating CNS disorders

    P. Jeffrey Conn;Craig W. Lindsley;Jens Meiler;Colleen M. Niswender

  • Coupled prediction of protein secondary and tertiary structure

    Jens Meiler;David Baker

  • Rosetta Predictions in CASP5: Successes, Failures, and Prospects for Complete Automation

    Philip Bradley;Dylan Chivian;Jens Meiler;Kira M.S. Misura

  • Model-free analysis of protein backbone motion from residual dipolar couplings.

    Wolfgang Peti;Jens Meiler;Rafael Brüschweiler;Christian Griesinger

  • Structure of KCNE1 and Implications for How It Modulates the KCNQ1 Potassium Channel

    Congbao Kang;Changlin Tian;Frank D. Sönnichsen;Jarrod A. Smith

  • PROSHIFT: protein chemical shift prediction using artificial neural networks

    Jens Meiler

Frequent Co-Authors

Charles R. Sanders
Charles R. Sanders Vanderbilt University
Annette G. Beck-Sickinger
Annette G. Beck-Sickinger Leipzig University
James E. Crowe
James E. Crowe Vanderbilt University Medical Center
Alfred L. George
Alfred L. George Northwestern University
David Baker
David Baker University of Washington
Christian Griesinger
Christian Griesinger Max Planck Society
Hassane S. Mchaourab
Hassane S. Mchaourab Vanderbilt University
Craig W. Lindsley
Craig W. Lindsley Vanderbilt University
P. Jeffrey Conn
P. Jeffrey Conn Vanderbilt University
Daniel Huster
Daniel Huster Leipzig University

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