Thomas R. Transue

1.6k total citations
21 papers, 1.1k citations indexed

About

Thomas R. Transue is a scholar working on Molecular Biology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas R. Transue has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas R. Transue's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Thomas R. Transue is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Thomas R. Transue collaborates with scholars based in United States, Belgium and India. Thomas R. Transue's co-authors include Serge Muyldermans, Mehdi Arbabi Ghahroudi, Lode Wyns, Aline Desmyter, F. Poortmans, R. Hamers, Tommy Cathey, Ann M. Richard, Matthew T. Martin and Richard Judson and has published in prestigious journals such as The Journal of Chemical Physics, Environmental Science & Technology and Journal of Molecular Biology.

In The Last Decade

Thomas R. Transue

20 papers receiving 1.1k citations

Peers

Thomas R. Transue
Paul Ramage Switzerland
Thomas R. Transue
Citations per year, relative to Thomas R. Transue Thomas R. Transue (= 1×) peers Paul Ramage

Countries citing papers authored by Thomas R. Transue

Since Specialization
Citations

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

Fields of papers citing papers by Thomas R. Transue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas R. Transue. 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 Thomas R. Transue. The network helps show where Thomas R. Transue may publish in the future.

Co-authorship network of co-authors of Thomas R. Transue

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas R. Transue. A scholar is included among the top collaborators of Thomas R. Transue 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 Thomas R. Transue. Thomas R. Transue 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.
Vliet, Sara M.F., et al.. (2023). Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation. Journal of Visualized Experiments. 2 indexed citations
3.
LaLone, Carlie A., Sara M.F. Vliet, Thomas R. Transue, et al.. (2022). From Protein Sequence to Structure: The Next Frontier in Cross-Species Extrapolation for Chemical Safety Evaluations. Environmental Toxicology and Chemistry. 42(2). 463–474. 11 indexed citations
4.
McEachran, Andrew D., Ilya A. Balabin, Tommy Cathey, et al.. (2019). Linking in silico MS/MS spectra with chemistry data to improve identification of unknowns. Scientific Data. 6(1). 141–141. 35 indexed citations
5.
LaLone, Carlie A., Daniel L. Villeneuve, Jon A. Doering, et al.. (2018). Evidence for Cross Species Extrapolation of Mammalian-Based High-Throughput Screening Assay Results. Environmental Science & Technology. 52(23). 13960–13971. 56 indexed citations
6.
Ingwersen, Wesley W., Troy R. Hawkins, Thomas R. Transue, et al.. (2015). A new data architecture for advancing life cycle assessment. The International Journal of Life Cycle Assessment. 20(4). 520–526. 23 indexed citations
7.
Goldsmith, Michael‐Rock, Chris Grulke, Daniel T. Chang, et al.. (2014). DockScreen: A Database of In Silico Biomolecular Interactions to Support Computational Toxicology. 2014(1). 3 indexed citations
8.
Goldsmith, Michael R., et al.. (2012). Informing Mechanistic Toxicology with Computational Molecular Models. Methods in molecular biology. 929. 139–165. 3 indexed citations
9.
Judson, Richard, Matthew T. Martin, Peter Egeghy, et al.. (2012). Aggregating Data for Computational Toxicology Applications: The U.S. Environmental Protection Agency (EPA) Aggregated Computational Toxicology Resource (ACToR) System. International Journal of Molecular Sciences. 13(2). 1805–1831. 73 indexed citations
10.
Goldsmith, Michael‐Rock, et al.. (2010). PAVA: physiological and anatomical visual analytics for mapping of tissue-specific concentration and time-course data. Journal of Pharmacokinetics and Pharmacodynamics. 37(3). 277–287. 7 indexed citations
11.
Judson, Richard, Ann M. Richard, David J. Dix, et al.. (2008). ACToR — Aggregated Computational Toxicology Resource. Toxicology and Applied Pharmacology. 233(1). 7–13. 147 indexed citations
12.
Transue, Thomas R., Scott A. Gabel, & Robert E. London. (2006). NMR and Crystallographic Characterization of Adventitious Borate Binding by Trypsin. Bioconjugate Chemistry. 17(2). 300–308. 25 indexed citations
13.
Transue, Thomas R., Joseph M. Krahn, Scott A. Gabel, Eugene F. DeRose, & Robert E. London. (2004). X-ray and NMR Characterization of Covalent Complexes of Trypsin, Borate, and Alcohols. Biochemistry. 43(10). 2829–2839. 51 indexed citations
14.
Transue, Thomas R., et al.. (2004). Molecular dynamics simulations of the d(CCAACGTTGG)2 decamer in crystal environment: Comparison of atomic point-charge, extra-point, and polarizable force fields. The Journal of Chemical Physics. 121(14). 6998–7008. 35 indexed citations
15.
Inoue, Kaoru, Mack Sobhany, Thomas R. Transue, et al.. (2003). Structural analysis by X-ray crystallography and calorimetry of a haemagglutinin component (HA1) of the progenitor toxin from Clostridium botulinum. Microbiology. 149(12). 3361–3370. 57 indexed citations
16.
Decanniere, Klaas, Thomas R. Transue, Aline Desmyter, et al.. (2001). Degenerate interfaces in antigen-antibody complexes. Journal of Molecular Biology. 313(3). 473–478. 43 indexed citations
17.
Loris, Remy, Klaas Decanniere, Julie Bouckaert, et al.. (1999). Conserved water molecules in a large family of microbial ribonucleases. Proteins Structure Function and Bioinformatics. 36(1). 117–134. 45 indexed citations
18.
Transue, Thomas R., Erwin De Genst, Mehdi Arbabi Ghahroudi, Lode Wyns, & Serge Muyldermans. (1998). Camel single-domain antibody inhibits enzyme by mimicking carbohydrate substrate. Proteins Structure Function and Bioinformatics. 32(4). 515–522. 89 indexed citations
19.
Dao‐Thi, Minh‐Hoa, Thomas R. Transue, Roger Pellé, et al.. (1998). Expression, purification, crystallization and preliminary X-ray analysis of cyclophilin A from the bovine parasite Trypanosoma brucei brucei. Acta Crystallographica Section D Biological Crystallography. 54(5). 1046–1048. 4 indexed citations
20.
Desmyter, Aline, Thomas R. Transue, Mehdi Arbabi Ghahroudi, et al.. (1996). Crystal structure of a camel single-domain VH antibody fragment in complex with lysozyme. Nature Structural & Molecular Biology. 3(9). 803–811. 416 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