Paul Tavan

6.9k total citations · 2 hit papers
106 papers, 5.2k citations indexed

About

Paul Tavan is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Paul Tavan has authored 106 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Atomic and Molecular Physics, and Optics, 48 papers in Molecular Biology and 29 papers in Spectroscopy. Recurrent topics in Paul Tavan's work include Spectroscopy and Quantum Chemical Studies (46 papers), Photoreceptor and optogenetics research (24 papers) and Advanced Chemical Physics Studies (23 papers). Paul Tavan is often cited by papers focused on Spectroscopy and Quantum Chemical Studies (46 papers), Photoreceptor and optogenetics research (24 papers) and Advanced Chemical Physics Studies (23 papers). Paul Tavan collaborates with scholars based in Germany, United States and Switzerland. Paul Tavan's co-authors include Klaus Schulten, Helmut Grubmüller, Berthold Heymann, Gerald Mathias, Markus Eichinger, Marco Nonella, Robert Denschlag, Jeanne Rubner, Jürg Hutter and Michele Parrinello and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Paul Tavan

105 papers receiving 5.0k citations

Hit Papers

Ligand Binding: Molecular Mechanics Calculation of the St... 1987 2026 2000 2013 1996 1987 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Paul Tavan Germany 37 2.4k 2.2k 1.1k 876 868 106 5.2k
Jennifer L. Herek Netherlands 38 1.5k 0.6× 3.0k 1.4× 639 0.6× 622 0.7× 831 1.0× 102 4.9k
Ernst‐Walter Knapp Germany 40 3.6k 1.5× 1.9k 0.9× 897 0.8× 696 0.8× 1.1k 1.2× 137 5.9k
Thomas L. C. Jansen Netherlands 42 1.8k 0.7× 4.1k 1.9× 907 0.8× 1.9k 2.1× 906 1.0× 130 5.4k
Yuan‐Chung Cheng Taiwan 29 2.7k 1.2× 5.0k 2.3× 1.5k 1.3× 892 1.0× 769 0.9× 76 7.4k
Young Min Rhee South Korea 34 1.8k 0.8× 1.3k 0.6× 321 0.3× 655 0.7× 1.1k 1.3× 168 4.0k
Vladimir Chernyak United States 42 1.2k 0.5× 4.5k 2.1× 877 0.8× 1.2k 1.4× 1.4k 1.6× 219 7.0k
Jennifer P. Ogilvie United States 29 1.3k 0.5× 3.0k 1.4× 874 0.8× 914 1.0× 416 0.5× 75 3.8k
Gerhard Stock Germany 53 4.2k 1.8× 5.0k 2.3× 855 0.7× 2.3k 2.6× 1.6k 1.8× 166 9.0k
Marcus Motzkus Germany 40 898 0.4× 4.3k 2.0× 569 0.5× 1.2k 1.3× 374 0.4× 140 5.6k
David M. Jonas United States 38 1.6k 0.7× 5.0k 2.3× 1.1k 1.0× 2.2k 2.5× 562 0.6× 89 6.2k

Countries citing papers authored by Paul Tavan

Since Specialization
Citations

This map shows the geographic impact of Paul Tavan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Paul Tavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Tavan more than expected).

Fields of papers citing papers by Paul Tavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Tavan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Paul Tavan. The network helps show where Paul Tavan may publish in the future.

Co-authorship network of co-authors of Paul Tavan

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Tavan. A scholar is included among the top collaborators of Paul Tavan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Tavan. Paul Tavan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eiden, Martin, Markus Geissen, Thomas Hirschberger, et al.. (2014). Piperazine derivatives inhibit PrP/PrPres propagation in vitro and in vivo. Biochemical and Biophysical Research Communications. 445(1). 23–29. 7 indexed citations
2.
Schmidt, Maximilian & Paul Tavan. (2012). Electronic excitations in long polyenes revisited. The Journal of Chemical Physics. 136(12). 124309–124309. 50 indexed citations
3.
Bauer, Sebastian, et al.. (2011). DFT/MM Description of Flavin IR Spectra in BLUF Domains. The Journal of Physical Chemistry B. 115(38). 11239–11253. 29 indexed citations
4.
Denschlag, Robert, Wolfgang Schreier, Tobias E. Schrader, et al.. (2010). Relaxation time prediction for a light switchable peptide by molecular dynamics. Physical Chemistry Chemical Physics. 12(23). 6204–6204. 13 indexed citations
5.
Mathias, Gerald, et al.. (2010). Density Functional Theory Combined with Molecular Mechanics: The Infrared Spectra of Flavin in Solution. Photochemistry and Photobiology. 87(3). 511–523. 20 indexed citations
6.
Denschlag, Robert, et al.. (2010). Highly polar environments catalyze the unfolding of PrPC helix 1. European Biophysics Journal. 39(8). 1177–1192. 4 indexed citations
7.
Cadamuro, Sergio A., Ulrike Kusebauch, Hans‐Jürgen Musiol, et al.. (2008). Konformationseigenschaften des 4‐Mercaptoprolins und verwandter Derivate. Angewandte Chemie. 120(11). 2174–2177. 20 indexed citations
8.
Hirschberger, Thomas, et al.. (2006). Structural Instability of the Prion Protein upon M205S/R Mutations Revealed by Molecular Dynamics Simulations. Biophysical Journal. 90(11). 3908–3918. 31 indexed citations
9.
Broadley, Sarah A., Thomas Hirschberger, Paul Tavan, et al.. (2006). Identification of Anti-prion Compounds as Efficient Inhibitors of Polyglutamine Protein Aggregation in a Zebrafish Model. Journal of Biological Chemistry. 282(12). 9195–9203. 84 indexed citations
10.
Giese, Armin, et al.. (2005). Molecular Dynamics Simulations Indicate a Possible Role of Parallel β-Helices in Seeded Aggregation of Poly-Gln. Biophysical Journal. 88(4). 2442–2451. 62 indexed citations
11.
Klähn, Marco, Gerald Mathias, Carsten Kötting, et al.. (2004). IR Spectra of Phosphate Ions in Aqueous Solution:  Predictions of a DFT/MM Approach Compared with Observations. The Journal of Physical Chemistry A. 108(29). 6186–6194. 134 indexed citations
12.
Mathias, Gerald & Paul Tavan. (2004). Angular resolution and range of dipole–dipole correlations in water. The Journal of Chemical Physics. 120(9). 4393–4403. 32 indexed citations
13.
Nonella, Marco, Gerald Mathias, Markus Eichinger, & Paul Tavan. (2002). Structures and Vibrational Frequencies of the Quinones in Rb. sphaeroides Derived by a Combined Density Functional/Molecular Mechanics Approach. The Journal of Physical Chemistry B. 107(1). 316–322. 35 indexed citations
14.
Albrecht, Stefano V., et al.. (2000). Generalized radial basis function networks for classification and novelty detection: self-organization of optimal Bayesian decision. Neural Networks. 13(10). 1075–1093. 37 indexed citations
15.
Eichinger, Markus, Helmut Grubmüller, Helmut Heller, & Paul Tavan. (1997). FAMUSAMM: An algorithm for rapid evaluation of electrostatic interactions in molecular dynamics simulations.. Journal of Computational Chemistry. 18(14). 1729–1749. 39 indexed citations
16.
Tavan, Paul, et al.. (1995). Asymptotic level density in topological feature maps. IEEE Transactions on Neural Networks. 6(1). 230–236. 35 indexed citations
17.
Hillermeier, Claus, et al.. (1994). An associative memory that can form hypotheses: a phase-coded neural network. Biological Cybernetics. 72(2). 119–132. 1 indexed citations
18.
19.
Tavan, Paul, et al.. (1990). Self-organization of associative memory and pattern classification: recurrent signal processing on topological feature maps. Biological Cybernetics. 64(2). 95–105. 33 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026