Yu-Hong Tan

685 total citations
14 papers, 475 citations indexed

About

Yu-Hong Tan is a scholar working on Molecular Biology, Oncology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yu-Hong Tan has authored 14 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yu-Hong Tan's work include Protein Structure and Dynamics (3 papers), Cancer-related Molecular Pathways (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Yu-Hong Tan is often cited by papers focused on Protein Structure and Dynamics (3 papers), Cancer-related Molecular Pathways (3 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). Yu-Hong Tan collaborates with scholars based in United States, China and Singapore. Yu-Hong Tan's co-authors include Ray Luo, Chunhu Tan, Qiang Lü, Xinchao Wang, Chenxin Xu, Yanfeng Wang, Shiou‐Chuan Tsai, Tyler P. Korman, Siheng Chen and Robby T. Tan and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Yu-Hong Tan

12 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Hong Tan United States 10 290 66 55 53 51 14 475
Maxim Mayzel Sweden 15 496 1.7× 23 0.3× 38 0.7× 46 0.9× 30 0.6× 26 919
David S. Goodsell United States 9 424 1.5× 24 0.4× 42 0.8× 18 0.3× 36 0.7× 27 532
Christoph Grebner Germany 12 221 0.8× 24 0.4× 28 0.5× 226 4.3× 39 0.8× 24 490
Yu-Chen Lin Taiwan 9 319 1.1× 38 0.6× 57 1.0× 14 0.3× 20 0.4× 23 584
Qin Qiao China 13 296 1.0× 108 1.6× 21 0.4× 35 0.7× 46 0.9× 22 528
S.L.-F. Chan Canada 10 200 0.7× 40 0.6× 12 0.2× 67 1.3× 23 0.5× 22 353
Kate A. Stafford United States 13 350 1.2× 62 0.9× 19 0.3× 61 1.2× 7 0.1× 16 550
Jiří Filipovič Czechia 12 285 1.0× 13 0.2× 19 0.3× 86 1.6× 24 0.5× 40 539
Marcin Kowiel Poland 13 194 0.7× 55 0.8× 14 0.3× 55 1.0× 23 0.5× 26 378
Yung-Hao Wong Taiwan 11 358 1.2× 68 1.0× 44 0.8× 69 1.3× 4 0.1× 20 644

Countries citing papers authored by Yu-Hong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Hong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Hong Tan. 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 Yu-Hong Tan. The network helps show where Yu-Hong Tan may publish in the future.

Co-authorship network of co-authors of Yu-Hong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Hong Tan. A scholar is included among the top collaborators of Yu-Hong Tan 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 Yu-Hong Tan. Yu-Hong Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 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.
3.
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
4.
Xu, Chenxin, Robby T. Tan, Yu-Hong Tan, et al.. (2023). EqMotion: Equivariant Multi-Agent Motion Prediction with Invariant Interaction Reasoning. 1410–1420. 58 indexed citations
5.
Xu, Chenxin, Robby T. Tan, Yu-Hong Tan, et al.. (2023). Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. 9475–9486. 12 indexed citations
6.
Tan, Yu-Hong & Ray Luo. (2009). Structural and functional implications of p53 missense cancer mutations. PubMed. 2(1). 5–5. 14 indexed citations
7.
Tan, Yu-Hong, Xiang Y. Ye, Qiang Lü, et al.. (2009). Molecular mechanisms of functional rescue mediated by P53 tumor suppressor mutations. Biophysical Chemistry. 145(1). 37–44. 9 indexed citations
8.
Tan, Yu-Hong & Ray Luo. (2008). Protein Stability Prediction:  A Poisson−Boltzmann Approach. The Journal of Physical Chemistry B. 112(6). 1875–1883. 18 indexed citations
9.
Korman, Tyler P., et al.. (2008). Inhibition Kinetics and Emodin Cocrystal Structure of a Type II Polyketide Ketoreductase,. Biochemistry. 47(7). 1837–1847. 50 indexed citations
10.
Lü, Qiang, Yu-Hong Tan, & Ray Luo. (2007). Molecular Dynamics Simulations of p53 DNA-Binding Domain. The Journal of Physical Chemistry B. 111(39). 11538–11545. 54 indexed citations
11.
Tan, Chunhu, Yu-Hong Tan, & Ray Luo. (2007). Implicit Nonpolar Solvent Models. The Journal of Physical Chemistry B. 111(42). 12263–12274. 207 indexed citations
12.
Tan, Yu-Hong & Ray Luo. (2007). Continuum treatment of electronic polarization effect. The Journal of Chemical Physics. 126(9). 94103–94103. 21 indexed citations
13.
Tan, Yu-Hong, et al.. (2004). Effect of different baryon impurities. Physical Review C. 70(5). 15 indexed citations
14.
Tan, Yu-Hong, et al.. (2004). Heavy flavored baryon hypernuclei in a relativistic mean-field model. Europhysics Letters (EPL). 67(3). 355–361. 11 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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