Trent E. Balius

3.8k total citations · 3 hit papers
24 papers, 2.5k citations indexed

About

Trent E. Balius is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Trent E. Balius has authored 24 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 14 papers in Computational Theory and Mathematics and 7 papers in Materials Chemistry. Recurrent topics in Trent E. Balius's work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (13 papers) and Click Chemistry and Applications (5 papers). Trent E. Balius is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (13 papers) and Click Chemistry and Applications (5 papers). Trent E. Balius collaborates with scholars based in United States, Austria and Finland. Trent E. Balius's co-authors include Robert C. Rizzo, Sudipto Mukherjee, Brian K. Shoichet, John J. Irwin, Scott R. Brozell, David A. Case, Jiankun Lyu, William J. Allen, P. Therese Lang and Irwin D. Kuntz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Trent E. Balius

23 papers receiving 2.5k citations

Hit Papers

Ultra-large library docking for discovering new chemotypes 2015 2026 2018 2022 2019 2015 2021 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
Trent E. Balius United States 19 1.8k 1.2k 393 389 284 24 2.5k
Peichen Pan China 28 2.1k 1.2× 1.1k 0.9× 360 0.9× 337 0.9× 214 0.8× 88 3.1k
Erin S. D. Bolstad United States 11 1.3k 0.7× 942 0.8× 303 0.8× 329 0.8× 309 1.1× 15 2.3k
Peter Schmidtke Spain 18 2.3k 1.3× 1.1k 0.9× 398 1.0× 282 0.7× 355 1.3× 26 3.2k
Melissa F. Adasme Germany 11 1.9k 1.1× 1.1k 0.9× 272 0.7× 600 1.5× 369 1.3× 12 3.6k
Oliver Korb United Kingdom 17 1.4k 0.8× 922 0.7× 285 0.7× 461 1.2× 235 0.8× 34 2.1k
Ian D. Wall United Kingdom 14 1.4k 0.8× 1.0k 0.8× 280 0.7× 330 0.8× 188 0.7× 26 1.9k
Xiaoqin Zou United States 30 3.1k 1.8× 1.8k 1.4× 545 1.4× 428 1.1× 219 0.8× 87 4.1k
Zoe Cournia Greece 28 2.1k 1.2× 968 0.8× 510 1.3× 460 1.2× 147 0.5× 65 3.2k
Esther Kellenberger France 24 1.8k 1.0× 1.2k 1.0× 238 0.6× 261 0.7× 332 1.2× 65 2.6k
Jin Huang China 34 2.5k 1.4× 1.2k 1.0× 365 0.9× 637 1.6× 328 1.2× 164 4.4k

Countries citing papers authored by Trent E. Balius

Since Specialization
Citations

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

Fields of papers citing papers by Trent E. Balius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trent E. Balius. 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 Trent E. Balius. The network helps show where Trent E. Balius may publish in the future.

Co-authorship network of co-authors of Trent E. Balius

This figure shows the co-authorship network connecting the top 25 collaborators of Trent E. Balius. A scholar is included among the top collaborators of Trent E. Balius 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 Trent E. Balius. Trent E. Balius 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.
Tan, Yu-Hong, Mayukh Chakrabarti, Reed M. Stein, et al.. (2025). Development of Receptor Desolvation Scoring and Covalent Sampling in DOCK 6: Methods Evaluated on a RAS Test Set. Journal of Chemical Information and Modeling. 65(2). 722–748.
2.
Finci, Lorenzo I., Mayukh Chakrabarti, Gülçin Gülten, et al.. (2024). Structural dynamics of RAF1-HSP90-CDC37 and HSP90 complexes reveal asymmetric client interactions and key structural elements. Communications Biology. 7(1). 260–260. 8 indexed citations
3.
Chakrabarti, Mayukh, et al.. (2024). Considerations Around Structure-Based Drug Discovery for KRAS Using DOCK. Methods in molecular biology. 2797. 67–90. 1 indexed citations
4.
Balius, Trent E., Yu-Hong Tan, & Mayukh Chakrabarti. (2023). DOCK 6: Incorporating hierarchical traversal through precomputed ligand conformations to enable large‐scale docking. Journal of Computational Chemistry. 45(1). 47–63. 6 indexed citations
5.
Kamenik, Anna S., Isha Singh, Parnian Lak, et al.. (2021). Energy penalties enhance flexible receptor docking in a model cavity. Proceedings of the National Academy of Sciences. 118(36). 23 indexed citations
6.
Bender, Brian J., Stefan Gahbauer, Andreas Luttens, et al.. (2021). A practical guide to large-scale docking. Nature Protocols. 16(10). 4799–4832. 310 indexed citations breakdown →
7.
Van, Que N., et al.. (2021). RAS Nanoclusters: Dynamic Signaling Platforms Amenable to Therapeutic Intervention. Biomolecules. 11(3). 377–377. 19 indexed citations
8.
Stein, Reed M., Yang Ying, Trent E. Balius, et al.. (2021). Property-Unmatched Decoys in Docking Benchmarks. Journal of Chemical Information and Modeling. 61(2). 699–714. 68 indexed citations
9.
Wan, Xiaobo, Tangpo Yang, Adolfo Cuesta, et al.. (2020). Discovery of Lysine-Targeted eIF4E Inhibitors through Covalent Docking. Journal of the American Chemical Society. 142(11). 4960–4964. 67 indexed citations
10.
Lyu, Jiankun, Sheng Wang, Trent E. Balius, et al.. (2019). Ultra-large library docking for discovering new chemotypes. Nature. 566(7743). 224–229. 619 indexed citations breakdown →
11.
Allen, William J., Brian Fochtman, Trent E. Balius, & Robert C. Rizzo. (2017). Customizable de novo design strategies for DOCK: Application to HIVgp41 and other therapeutic targets. Journal of Computational Chemistry. 38(30). 2641–2663. 25 indexed citations
12.
Balius, Trent E., Marcus Fischer, Reed M. Stein, et al.. (2017). Testing inhomogeneous solvation theory in structure-based ligand discovery. Proceedings of the National Academy of Sciences. 114(33). E6839–E6846. 64 indexed citations
13.
Berger, William T., Natasha M. Nesbitt, Kunal Kumar, et al.. (2015). Computer-aided identification, synthesis, and biological evaluation of novel inhibitors for botulinum neurotoxin serotype A. Bioorganic & Medicinal Chemistry. 23(17). 5489–5495. 12 indexed citations
14.
Balius, Trent E., William J. Allen, Sudipto Mukherjee, & Robert C. Rizzo. (2013). Grid‐based molecular footprint comparison method for docking and de novo design: Application to HIVgp41. Journal of Computational Chemistry. 34(14). 1226–1240. 25 indexed citations
15.
Berger, William T., Martin Kaczocha, Jing Sun, et al.. (2012). Targeting Fatty Acid Binding Protein (FABP) Anandamide Transporters – A Novel Strategy for Development of Anti-Inflammatory and Anti-Nociceptive Drugs. PLoS ONE. 7(12). e50968–e50968. 129 indexed citations
16.
Brozell, Scott R., Sudipto Mukherjee, Trent E. Balius, et al.. (2012). Evaluation of DOCK 6 as a pose generation and database enrichment tool. Journal of Computer-Aided Molecular Design. 26(6). 749–773. 130 indexed citations
17.
Balius, Trent E., Sudipto Mukherjee, & Robert C. Rizzo. (2011). Implementation and evaluation of a docking‐rescoring method using molecular footprint comparisons. Journal of Computational Chemistry. 32(10). 2273–2289. 54 indexed citations
18.
Mukherjee, Sudipto, Trent E. Balius, & Robert C. Rizzo. (2010). Docking Validation Resources: Protein Family and Ligand Flexibility Experiments. Journal of Chemical Information and Modeling. 50(11). 1986–2000. 176 indexed citations
19.
Owonikoko, Taofeek K., Suresh S. Ramalingam, Beatriz Kanterewicz, et al.. (2009). Vorinostat increases carboplatin and paclitaxel activity in non‐small cell lung cancer cells. International Journal of Cancer. 126(3). 743–755. 77 indexed citations
20.
Balius, Trent E. & Robert C. Rizzo. (2009). Quantitative Prediction of Fold Resistance for Inhibitors of EGFR. Biochemistry. 48(35). 8435–8448. 61 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.

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