World's Best Scientists 2026 revealed!
Andrzej Kolinski

Andrzej Kolinski

D-Index & Metrics

Chemistry

D-Index
68
Citations
17096
World Ranking
6499
National Ranking
13

Andrzej Kolinski publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Andrzej Kolinski sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 291 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Andrzej Kolinski D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Andrzej Kolinski sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 68 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2009 - Prize of the Foundation for Polish Science - Nagroda Fundacji na rzecz Nauki Polskiej for development and practical application of unique methods for protein structure prediction

Overview

Andrzej Kolinski is affiliated with the University of Warsaw in Poland, with research focused primarily within Biochemistry, Genetics and Molecular Biology, as well as Materials Science. Their subfields of study include Molecular Biology, Materials Chemistry, Genetics, Biomedical Engineering, and Computational Theory and Mathematics.

The main research topics covered by Kolinski include Protein Structure and Dynamics, Enzyme Structure and Function, RNA and protein synthesis mechanisms, Bacterial Genetics and Biotechnology, Biofuel production and bioconversion, Computational Drug Discovery Methods, and Chemical Synthesis and Analysis.

Kolinski has contributed to a range of publications appearing frequently in the following venues:

  • Methods in molecular biology
  • Protein Science
  • International Journal of Molecular Sciences
  • PLoS Computational Biology
  • International Journal of Biological Macromolecules

Selected recent papers authored or co-authored by Kolinski include:

  • "Protocols for Fast Simulations of Protein Structure Flexibility Using CABS-Flex and SURPASS," 2020, Methods in molecular biology
  • "Exploring protein functions from structural flexibility using CABS-flex modeling," 2024, Protein Science
  • "Protein-Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations," 2021, International Journal of Molecular Sciences
  • "Protocols for All-Atom Reconstruction and High-Resolution Refinement of Protein-Peptide Complex Structures," 2020, Methods in molecular biology
  • "Integrative modeling of diverse protein-peptide systems using CABS-dock," 2023, PLoS Computational Biology

Frequent collaborators with whom Kolinski has published include Sebastian Kmiecik, Aleksandra E. Badaczewska-Dawid, Mateusz Zalewski, Mateusz Kurciński, and Wojciech Puławski.

In 2009, Kolinski received the Prize of the Foundation for Polish Science (Nagroda Fundacji na rzecz Nauki Polskiej) for the development and practical application of unique methods for protein structure prediction.

Best Publications

  • AAindex: amino acid index database, progress report 2008

    Shuichi Kawashima;Piotr Pokarowski;Maria Pokarowska;Andrzej Kolinski

  • Coarse-Grained Protein Models and Their Applications

    Sebastian Kmiecik;Dominik Gront;Michal Kolinski;Lukasz Wieteska;Lukasz Wieteska

  • Topology fingerprint approach to the inverse protein folding problem.

    Adam Godzik;Andrzej Kolinski;Andrzej Kolinski;Jeffrey Skolnick

  • CABS-dock web server for the flexible docking of peptides to proteins without prior knowledge of the binding site

    Mateusz Kurcinski;Michal Jamroz;Maciej Blaszczyk;Andrzej Kolinski

  • Simulations of the folding of a globular protein

    Jeffrey Skolnick;Andrzej Kolinski

  • Monte carlo simulations of protein folding. I. Lattice model and interaction scheme

    Andrzej Kolinski;Andrzej Kolinski;Jeffrey Skolnick

  • Protein modeling and structure prediction with a reduced representation.

    Andrzej Kolinski

  • TOUCHSTONE II: a new approach to ab initio protein structure prediction.

    Yang Zhang;Andrzej Kolinski;Andrzej Kolinski;Jeffrey Skolnick

  • MONSSTER: a method for folding globular proteins with a small number of distance restraints

    Jeffrey Skolnick;Andrzej Kolinski;Andrzej Kolinski;Angel R. Ortiz

  • Structural Genomics and Its Importance for Gene Function Analysis

    Jeffrey Skolnick;Jacquelyn S. Fetrow;Andrzej Kolinski

  • Derivation and testing of pair potentials for protein folding. When is the quasichemical approximation correct

    Jeffrey Skolnick;Lukasz Jaroszewski;Andrzej Kolinski;Adam Godzik

  • Reduced models of proteins and their applications

    Andrzej Kolinski;Andrzej Kolinski;Jeffrey Skolnick

  • Dynamic Monte Carlo simulations of a new lattice model of globular protein folding, structure and dynamics

    Jeffrey Skolnick;Andrzej Kolinski

  • A general method for the prediction of the three dimensional structure and folding pathway of globular proteins: Application to designed helical proteins

    Andrzej Kolinski;Adam Godzik;Jeffrey Skolnick

  • Assessing energy functions for flexible docking

    Michal Vieth;Jonathan D. Hirst;Andrzej Kolinski;Charles L. Brooks

  • Ab initio folding of proteins using restraints derived from evolutionary information.

    Angel R. Ortiz;Andrzej Kolinski;Andrzej Kolinski;Piotr Rotkiewicz;Piotr Rotkiewicz;Bartosz Ilkowski;Bartosz Ilkowski

  • CABS-flex: server for fast simulation of protein structure fluctuations

    Michal Jamroz;Andrzej Kolinski;Sebastian Kmiecik

  • TOUCHSTONE: An ab initio protein structure prediction method that uses threading-based tertiary restraints

    Daisuke Kihara;Hui Lu;Andrzej Kolinski;Andrzej Kolinski;Jeffrey Skolnick

  • Monte carlo simulations of protein folding. II. Application to protein A, ROP, and crambin

    Andrzej Kolinski;Jeffrey Skolnick

  • Are proteins ideal mixtures of amino acids? Analysis of energy parameter sets

    Adam Godzik;Andrzej Koliński;Andrzej Koliński;Jeffrey Skolnick

  • Discretized model of proteins. I. Monte Carlo study of cooperativity in homopolypeptides

    Andrzej Kolinski;Jeffrey Skolnick

Frequent Co-Authors

Jeffrey Skolnick
Jeffrey Skolnick Georgia Institute of Technology
Robert L. Jernigan
Robert L. Jernigan Iowa State University
Adam Godzik
Adam Godzik University of California, Riverside
Charles L. Brooks
Charles L. Brooks University of Michigan–Ann Arbor
Daisuke Kihara
Daisuke Kihara Purdue University West Lafayette
Yang Zhang
Yang Zhang University of Michigan–Ann Arbor
Leszek Rychlewski
Leszek Rychlewski BioInfoBank Institute
Krzysztof Ginalski
Krzysztof Ginalski University of Warsaw
Hector F. DeLuca
Hector F. DeLuca University of Wisconsin–Madison

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