Ian F. Thorpe

1.2k total citations
26 papers, 977 citations indexed

About

Ian F. Thorpe is a scholar working on Molecular Biology, Hepatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ian F. Thorpe has authored 26 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Hepatology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ian F. Thorpe's work include Protein Structure and Dynamics (10 papers), Hepatitis C virus research (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ian F. Thorpe is often cited by papers focused on Protein Structure and Dynamics (10 papers), Hepatitis C virus research (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Ian F. Thorpe collaborates with scholars based in United States, United Kingdom and Switzerland. Ian F. Thorpe's co-authors include Gregory A. Voth, Charles L. Brooks, Charles L. Brooks, Zhou Jian, Brittny C. Davis Lynn, Jörg Zimmermann, Floyd E. Romesberg, Xinghua Shi, Steven G. Boxer and Paul Abbyad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Ian F. Thorpe

26 papers receiving 961 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ian F. Thorpe United States 16 682 258 161 140 73 26 977
Patrice Dosset France 15 1.0k 1.5× 198 0.8× 64 0.4× 202 1.4× 32 0.4× 27 1.4k
John J. Dwyer United States 12 783 1.1× 134 0.5× 180 1.1× 105 0.8× 31 0.4× 13 1.1k
Jason D. Perlmutter United States 18 968 1.4× 112 0.4× 58 0.4× 157 1.1× 18 0.2× 22 1.5k
Rudresh Acharya United States 10 1.0k 1.5× 291 1.1× 74 0.5× 80 0.6× 12 0.2× 17 1.5k
C. Lenoir France 25 494 0.7× 167 0.6× 47 0.3× 130 0.9× 14 0.2× 71 1.8k
Peter Timmins France 18 1.1k 1.6× 426 1.7× 65 0.4× 146 1.0× 9 0.1× 26 1.5k
Timothy J. Wilson United Kingdom 31 2.3k 3.4× 174 0.7× 45 0.3× 125 0.9× 18 0.2× 76 2.8k
Shu‐ichi Nakano Japan 30 4.4k 6.4× 241 0.9× 39 0.2× 104 0.7× 155 2.1× 100 4.7k
Mark Bailey United Kingdom 22 593 0.9× 347 1.3× 39 0.2× 75 0.5× 11 0.2× 44 1.7k
Bernd W. Koenig Germany 20 1.4k 2.1× 88 0.3× 70 0.4× 222 1.6× 12 0.2× 40 1.9k

Countries citing papers authored by Ian F. Thorpe

Since Specialization
Citations

This map shows the geographic impact of Ian F. Thorpe'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 Ian F. Thorpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian F. Thorpe more than expected).

Fields of papers citing papers by Ian F. Thorpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian F. Thorpe. 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 Ian F. Thorpe. The network helps show where Ian F. Thorpe may publish in the future.

Co-authorship network of co-authors of Ian F. Thorpe

This figure shows the co-authorship network connecting the top 25 collaborators of Ian F. Thorpe. A scholar is included among the top collaborators of Ian F. Thorpe 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 Ian F. Thorpe. Ian F. Thorpe 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.
Thorpe, Ian F., et al.. (2017). Using Structural Kinetic Modeling To Identify Key Determinants of Stability in Reaction Networks. The Journal of Physical Chemistry A. 121(26). 4982–4992. 4 indexed citations
2.
Taylor, John L., Iain McKinnon, Ian F. Thorpe, & Bruce T. Gillmer. (2017). The impact of transforming care on the care and safety of patients with intellectual disabilities and forensic needs. BJPsych Bulletin. 41(4). 205–208. 25 indexed citations
3.
Lenka, Sangram K., et al.. (2016). Current advances in molecular, biochemical, and computational modeling analysis of microalgal triacylglycerol biosynthesis. Biotechnology Advances. 34(5). 1046–1063. 66 indexed citations
4.
5.
Lynn, Brittny C. Davis, et al.. (2015). Allosteric Inhibitors Have Distinct Effects, but Also Common Modes of Action, in the HCV Polymerase. Biophysical Journal. 108(7). 1785–1795. 13 indexed citations
6.
7.
Filippov, Igor, et al.. (2013). Inhibitors for the hepatitis C virus RNA polymerase explored by SAR with advanced machine learning methods. Bioorganic & Medicinal Chemistry. 21(11). 3127–3137. 19 indexed citations
8.
Thorpe, Ian F., et al.. (2013). Visualizing Motional Correlations in Molecular Dynamics using Geometric Deformations. Computer Graphics Forum. 32(3pt3). 311–320. 6 indexed citations
9.
Lynn, Brittny C. Davis & Ian F. Thorpe. (2012). Thumb inhibitor binding eliminates functionally important dynamics in the hepatitis C virus RNA polymerase. Proteins Structure Function and Bioinformatics. 81(1). 40–52. 36 indexed citations
10.
Thorpe, Ian F., David P. Goldenberg, & Gregory A. Voth. (2011). Exploration of Transferability in Multiscale Coarse-Grained Peptide Models. The Journal of Physical Chemistry B. 115(41). 11911–11926. 21 indexed citations
11.
Bagchi, Sayan, et al.. (2010). Conformational Switching between Protein Substates Studied with 2D IR Vibrational Echo Spectroscopy and Molecular Dynamics Simulations. The Journal of Physical Chemistry B. 114(51). 17187–17193. 29 indexed citations
12.
Zimmermann, Jörg, Floyd E. Romesberg, Charles L. Brooks, & Ian F. Thorpe. (2010). Molecular Description of Flexibility in an Antibody Combining Site. The Journal of Physical Chemistry B. 114(21). 7359–7370. 27 indexed citations
13.
Thorpe, Ian F., Zhou Jian, & Gregory A. Voth. (2008). Peptide Folding Using Multiscale Coarse-Grained Models. The Journal of Physical Chemistry B. 112(41). 13079–13090. 80 indexed citations
14.
Maupin, C. Mark, Marissa G. Saunders, Ian F. Thorpe, et al.. (2008). Origins of Enhanced Proton Transport in the Y7F Mutant of Human Carbonic Anhydrase II. Journal of the American Chemical Society. 130(34). 11399–11408. 32 indexed citations
15.
Jian, Zhou, et al.. (2007). Coarse-Grained Peptide Modeling Using a Systematic Multiscale Approach. Biophysical Journal. 92(12). 4289–4303. 156 indexed citations
16.
Thorpe, Ian F. & Charles L. Brooks. (2007). Molecular evolution of affinity and flexibility in the immune system. Proceedings of the National Academy of Sciences. 104(21). 8821–8826. 114 indexed citations
17.
Zimmermann, Jörg, Ian F. Thorpe, Xinghua Shi, et al.. (2006). Antibody evolution constrains conformational heterogeneity by tailoring protein dynamics. Proceedings of the National Academy of Sciences. 103(37). 13722–13727. 95 indexed citations
18.
Ohkubo, Y. Zenmei & Ian F. Thorpe. (2006). Evaluating the conformational entropy of macromolecules using an energy decomposition approach. The Journal of Chemical Physics. 124(2). 24910–24910. 13 indexed citations
19.
Thorpe, Ian F. & Charles L. Brooks. (2004). The coupling of structural fluctuations to hydride transfer in dihydrofolate reductase. Proteins Structure Function and Bioinformatics. 57(3). 444–457. 45 indexed citations
20.
Thorpe, Ian F. & Charles L. Brooks. (2003). Barriers to Hydride Transfer in Wild Type and Mutant Dihydrofolate Reductase from E. c oli. The Journal of Physical Chemistry B. 107(50). 14042–14051. 54 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

Breakdown of academic impact, for papers by Patrice Dosset Breakdown of academic impact, for papers by John J. Dwyer Breakdown of academic impact, for papers by Jason D. Perlmutter Breakdown of academic impact, for papers by Rudresh Acharya Breakdown of academic impact, for papers by C. Lenoir Breakdown of academic impact, for papers by Peter Timmins Breakdown of academic impact, for papers by Timothy J. Wilson Breakdown of academic impact, for papers by Shu‐ichi Nakano Breakdown of academic impact, for papers by Mark Bailey Breakdown of academic impact, for papers by Bernd W. Koenig
Rankless by CCL
2026