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Jiří Šponer

Jiří Šponer

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Chemistry
Czechia
2026
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Molecular Biology
Czechia
2026

D-Index & Metrics

Molecular Biology

D-Index
99
Citations
40215
World Ranking
548
National Ranking
1

Chemistry

D-Index
100
Citations
40956
World Ranking
1258
National Ranking
5

Jiří Šponer 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 Jiří Šponer 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: 450 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Jiří Šponer 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 Jiří Šponer 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: 99 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Chemistry in Czechia Leader Award
  • 2026 - Research.com Molecular Biology in Czechia Leader Award
  • 2025 - Research.com Chemistry in Czechia Leader Award
  • 2023 - Research.com Chemistry in Czechia Leader Award
  • 2022 - Research.com Chemistry in Czechia Leader Award

Overview

Jiří Šponer is affiliated with Masaryk University in the Czech Republic and has a substantial body of research primarily in biochemistry, genetics, and molecular biology. Their work encompasses both broad and specialized topics within the molecular life sciences.

The scientist's research mainly focuses on molecular biology, covering a total of 232 publications in this subfield. Additional areas of interest include materials chemistry, astronomy and astrophysics, atomic and molecular physics and optics, and ecology.

The primary topics addressed in their work include:

  • DNA and nucleic acid chemistry
  • RNA and protein synthesis mechanisms
  • Advanced biosensing and bioanalysis techniques
  • RNA modifications and cancer
  • RNA research and splicing
  • Bacteriophages and microbial interactions
  • Origins and evolution of life

Jiří Šponer has contributed frequently to several scientific journals and publication venues, particularly:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Chemical Theory and Computation
  • The Cambridge Structural Database
  • Journal of Chemical Information and Modeling
  • Nucleic Acids Research

Their recent notable publications include:

  • "Z-DNA as a Touchstone for Additive Empirical Force Fields and a Refinement of the Alpha/Gamma DNA Torsions for AMBER" (2021), Journal of Chemical Theory and Computation
  • "Toward Convergence in Folding Simulations of RNA Tetraloops: Comparison of Enhanced Sampling Techniques and Effects of Force Field Modifications" (2022), Journal of Chemical Theory and Computation
  • "Structure of SRSF1 RRM1 bound to RNA reveals an unexpected bimodal mode of interaction and explains its involvement in SMN1 exon7 splicing" (2021), Nature Communications
  • "Fine-Tuning of the AMBER RNA Force Field with a New Term Adjusting Interactions of Terminal Nucleotides" (2020), Journal of Chemical Theory and Computation
  • "UUCG RNA Tetraloop as a Formidable Force-Field Challenge for MD Simulations" (2020), Journal of Chemical Theory and Computation

Jiří Šponer collaborates regularly with a group of frequent co-authors, including Miroslav Krepl, Vojtěch Mlýnský, Judit E. Šponer, Petr Stadlbauer, and Michal Otyepka, reflecting a sustained research network and interdisciplinary exchange.

Best Publications

  • Refinement of the AMBER Force Field for Nucleic Acids: Improving the Description of α/γ Conformers

    Alberto Pérez;Iván Marchán;Daniel Svozil;Daniel Svozil;Jiri Sponer;Jiri Sponer

  • Benchmark database of accurate (MP2 and CCSD(T) complete basis set limit) interaction energies of small model complexes, DNA base pairs, and amino acid pairs.

    Petr Jurečka;Jiří Šponer;Jiří Černý;Pavel Hobza

  • Structure, energetics, and dynamics of the nucleic Acid base pairs: nonempirical ab initio calculations.

    Pavel Hobza;Jiří Šponer

  • Refinement of the Cornell et al. Nucleic Acids Force Field Based on Reference Quantum Chemical Calculations of Glycosidic Torsion Profiles

    Marie Zgarbová;Michal Otyepka;Michal Otyepka;Jiří Šponer;Jiří Šponer;Arnošt Mládek

  • Promoting transparency and reproducibility in enhanced molecular simulations

    M. Bonomi;M. Bonomi;B. Giovanni;C. Camilloni;G.A. Tribello

  • Density functional theory and molecular clusters

    Pavel Hobza;Jiří šponer;Tomáš Reschel

  • Accurate interaction energies of hydrogen-bonded nucleic acid base pairs.

    Jirí Sponer;Petr Jurecka;Pavel Hobza

  • Electronic properties, hydrogen bonding, stacking, and cation binding of DNA and RNA bases.

    Jiří Šponer;Jiří Šponer;Jerzy Leszczynski;Pavel Hobza

  • RNA Structural Dynamics As Captured by Molecular Simulations: A Comprehensive Overview.

    Jiří Šponer;Giovanni Bussi;Miroslav Krepl;Miroslav Krepl;Pavel Banáš

  • Refinement of the Sugar–Phosphate Backbone Torsion Beta for AMBER Force Fields Improves the Description of Z- and B-DNA

    Marie Zgarbová;Jiří Šponer;Jiří Šponer;Michal Otyepka;Thomas E. Cheatham

  • Toward true DNA base-stacking energies: MP2, CCSD(T), and complete basis set calculations.

    Pavel Hobza;Jiri Sponer

  • Assessing the Current State of Amber Force Field Modifications for DNA

    Rodrigo Galindo-Murillo;James C. Robertson;Marie Zgarbová;Jiří Šponer;Jiří Šponer

  • Nature of Nucleic Acid−Base Stacking: Nonempirical ab Initio and Empirical Potential Characterization of 10 Stacked Base Dimers. Comparison of Stacked and H-Bonded Base Pairs

    Jiří Šponer;and Jerzy Leszczyński;Pavel Hobza

  • Structures and Energies of Hydrogen-Bonded DNA Base Pairs. A Nonempirical Study with Inclusion of Electron Correlation

    Jiří Šponer;and Jerzy Leszczynski;Pavel Hobza

  • Performance of Molecular Mechanics Force Fields for RNA Simulations: Stability of UUCG and GNRA Hairpins

    Pavel Banáš;Daniel Hollas;Marie Zgarbová;Petr Jurečka

  • Intercalators. 1. Nature of Stacking Interactions between Intercalators (Ethidium, Daunomycin, Ellipticine, and 4‘,6-Diaminide-2-phenylindole) and DNA Base Pairs. Ab Initio Quantum Chemical, Density Functional Theory, and Empirical Potential Study

    David Reha;Martin Kabelac;Filip Ryjacek;Jiri Sponer

  • Nature and magnitude of aromatic stacking of nucleic acid bases

    Jiří Šponer;Kevin E. Riley;Pavel Hobza

  • Performance of empirical potentials (AMBER, CFF95, CVFF, CHARMM, OPLS, POLTEV), semiempirical quantum chemical methods (AM1, MNDO/M, PM3), and ab initio Hartree–Fock method for interaction of DNA bases: Comparison with nonempirical beyond Hartree–Fock results

    Pavel Hobza;Martin Kabeláč;Jiří Šponer;Petr Mejzlík

  • A systematic molecular dynamics study of nearest-neighbor effects on base pair and base pair step conformations and fluctuations in B-DNA

    Richard Lavery;Krystyna Zakrzewska;David Beveridge;Thomas C. Bishop

  • Nonplanar geometries of DNA bases. Ab initio second-order Moeller-Plesset study

    Jiri Sponer;Pavel Hobza

Frequent Co-Authors

Michal Otyepka
Michal Otyepka Palacký University, Olomouc
Pavel Banáš
Pavel Banáš Palacký University, Olomouc
Pavel Hobza
Pavel Hobza Czech Academy of Sciences
Petr Jurečka
Petr Jurečka Palacký University, Olomouc
Jerzy Leszczynski
Jerzy Leszczynski Jackson State University
Jaroslav Koča
Jaroslav Koča Central European Institute of Technology
Thomas E. Cheatham
Thomas E. Cheatham University of Utah
Nils G. Walter
Nils G. Walter University of Michigan–Ann Arbor
Neocles B. Leontis
Neocles B. Leontis Bowling Green State University
Raffaele Saladino
Raffaele Saladino Tuscia University

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