World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
54
Citations
28960
World Ranking
15335
National Ranking
282

Ron D. Appel 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 Ron D. Appel 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: 131 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

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

Ron D. Appel 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 Ron D. Appel 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: 54 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Ron D. Appel is affiliated with the Swiss Institute of Bioinformatics in Switzerland. Their research primarily spans the fields of Engineering and Computer Science, with significant focus on subfields such as Computer Vision and Pattern Recognition, Media Technology, Electrical and Electronic Engineering, General Health Professions, and Biophysics.

The frequent topics in Ron D. Appel's work include:

  • Image Processing Techniques and Applications
  • Optical measurement and interference techniques
  • Advanced Fluorescence Microscopy Techniques
  • Optical Coherence Tomography Applications
  • Integrated Circuits and Semiconductor Failure Analysis
  • Industrial Vision Systems and Defect Detection
  • Reproductive Health and Contraception

Ron D. Appel has coauthored multiple publications with collaborators such as Mark Harfouche, Kevin C. Zhou, Gregor Horstmeyer, Paul Reamey, and Roarke Horstmeyer.

Their publications have appeared in several venues, including:

  • arXiv (Cornell University)
  • Optica
  • Journal Of Big Data
  • Value in Health

Recent papers by Ron D. Appel include:

  • Imaging across multiple spatial scales with the multi-camera array microscope (2023, Optica)
  • Computational 3D topographic microscopy from terabytes of data per sample (2024, Journal Of Big Data)
  • RWD25 Usage and Costs Profile of Long-Term Contraception Users at a Health Plan Operator in the Brazil (2023, Value in Health)
  • Imaging across multiple spatial scales with the multi-camera array microscope (2022, arXiv (Cornell University))
  • Computational 3D topographic microscopy from terabytes of data per sample (2023, arXiv (Cornell University))

Best Publications

  • Protein identification and analysis tools in the ExPASy server

    Marc Wilkins;Elisabeth Gasteiger;Amos Marc Bairoch;Jean Emmanuel Sanchez

  • ExPASy: The proteomics server for in-depth protein knowledge and analysis.

    Elisabeth Gasteiger;Alexandre Gattiker;Christine Hoogland;Ivan Ivanyi

  • Progress with Proteome Projects: Why all Proteins Expressed by a Genome Should be Identified and How To Do It

    Marc R. Wilkins;Jean-Charles Sanchez;Andrew A. Gooley;Ron David Appel

  • From Proteins to Proteomes: Large Scale Protein Identification by Two-Dimensional Electrophoresis and Amino Acid Analysis

    Marc R. Wilkins;Christian Pasquali;Ron D. Appel;Keli Ou

  • A new generation of information retrieval tools for biologists: the example of the ExPASy WWW server

    Ron David Appel;Amos Marc Bairoch;Denis Hochstrasser

  • The Health On the Net Code of Conduct for medical and health Websites

    C Boyer;M Selby;J.-R Scherrer;J.-R Scherrer;R.D Appel;R.D Appel

  • Detailed peptide characterization using PEPTIDEMASS : a World-Wide-Web-accessible tool

    Marc R Wilkins;Marc R Wilkins;Ingrid Lindskog;Elisabeth Gasteiger;Amos Marc Bairoch

  • Guidelines for the next 10 years of proteomics

    Marc R. Wilkins;Ron D. Appel;Jennifer E. Van Eyk;Maxey C.M. Chung

  • Multiple elevations of cytosolic-free Ca2+ in human neutrophils: initiation by adherence receptors of the integrin family.

    M. E. E. Jaconi;J. M. Theler;W. Schlegel;R. D. Appel

  • Inside SWISS-2DPAGE database

    Jean-Charles Sanchez;Ron David Appel;Olivier Georges Golaz;Christian Pasquali

  • Automated protein identification by tandem mass spectrometry: Issues and strategies

    Patricia Hernandez;Markus Müller;Ron D. Appel;Ron D. Appel

  • MELANIE II : A THIRD-GENERATION SOFTWARE PACKAGE FOR ANALYSIS OF TWO-DIMENSIONAL ELECTROPHORESIS IMAGES : II. ALGORITHMS

    Ron D. Appel;J. Reynaldo Vargas;Patricia M. Palagi;Daniel Walther

  • Improving protein identification from peptide mass fingerprinting through a parameterized multi-level scoring algorithm and an optimized peak detection.

    Robin Gras;Marcus Müller;Elisabeth Gasteiger

  • Melanie II – a third‐generation software package for analysis of two‐dimensional electrophoresis images: I. Features and user interface

    Ron D. Appel;Patricia M. Palagi;Daniel Walther;J. Reynaldo Vargas

  • The MELANIE project: From a biopsy to automatic protein map interpretation by computer

    Ron D. Appel;Denis F. Hochstrasser;Matthieu Funk;J. Reynaldo Vargas

  • A molecular scanner to automate proteomic research and to display proteome images.

    Pierre-Alain Binz;Markus Müller;Daniel Walther;Willy V. Bienvenut

  • Proteome informatics I: bioinformatics tools for processing experimental data.

    Patricia M. Palagi;Patricia Hernandez;Daniel Walther;Ron D. Appel;Ron D. Appel

  • MSight: an image analysis software for liquid chromatography-mass spectrometry.

    Patricia M. Palagi;Daniel Walther;Daniel Walther;Manfredo Quadroni;Sébastien Catherinet

  • The 1999 SWISS-2DPAGE database update

    Christine Hoogland;Jean-Charles Sanchez;Luisa Tonella;Pierre-Alain Binz

  • SWISS-2DPAGE: A database of two-dimensional gel electrophoresis images

    R D Appel;J C Sanchez;A Bairoch;O Golaz

Frequent Co-Authors

Denis F. Hochstrasser
Denis F. Hochstrasser University of Geneva
Jean-Charles Sanchez
Jean-Charles Sanchez University of Geneva
Amos Marc Bairoch
Amos Marc Bairoch Swiss Institute of Bioinformatics
Marc R. Wilkins
Marc R. Wilkins University of New South Wales
Frédérique Lisacek
Frédérique Lisacek University of Geneva
Elisabeth Gasteiger
Elisabeth Gasteiger Swiss Institute of Bioinformatics
Keith L. Williams
Keith L. Williams Macquarie University
Andrew A. Gooley
Andrew A. Gooley Trajan Scientific and Medical
Abelardo Margolles
Abelardo Margolles Spanish National Research Council
Michael J. Dunn
Michael J. Dunn University College Dublin

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