Haozhou Tan

1.3k total citations · 2 hit papers
27 papers, 700 citations indexed

About

Haozhou Tan is a scholar working on Infectious Diseases, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Haozhou Tan has authored 27 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 13 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Haozhou Tan's work include SARS-CoV-2 and COVID-19 Research (14 papers), Computational Drug Discovery Methods (8 papers) and Viral Infections and Immunology Research (8 papers). Haozhou Tan is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (14 papers), Computational Drug Discovery Methods (8 papers) and Viral Infections and Immunology Research (8 papers). Haozhou Tan collaborates with scholars based in United States, Greece and China. Haozhou Tan's co-authors include Jun Wang, Yanmei Hu, Bin Tan, Chunlong Ma, Prakash D. Jadhav, Yu Chen, Maura V. Gongora, Xufang Deng, John S. Choy and Eric M. Lewandowski and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Haozhou Tan

22 papers receiving 697 citations

Hit Papers

Naturally Occurring Mutat... 2023 2026 2024 2023 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haozhou Tan United States 13 427 339 229 142 61 27 700
Kristina Lanko Netherlands 9 300 0.7× 233 0.7× 216 0.9× 133 0.9× 51 0.8× 14 589
Justin Shields Canada 9 353 0.8× 288 0.8× 252 1.1× 107 0.8× 93 1.5× 12 743
Sakshi Tomar United States 11 474 1.1× 303 0.9× 245 1.1× 110 0.8× 41 0.7× 22 781
Carly Huitema Canada 10 406 1.0× 298 0.9× 204 0.9× 120 0.8× 36 0.6× 12 766
G.J. Lockbaum United States 13 250 0.6× 167 0.5× 164 0.7× 86 0.6× 62 1.0× 21 448
Mikołaj Żmudziński Poland 8 394 0.9× 325 1.0× 282 1.2× 115 0.8× 26 0.4× 9 699
Sarah E. St. John United States 8 639 1.5× 352 1.0× 274 1.2× 88 0.6× 55 0.9× 11 933
Jesús Urquiza Spain 7 265 0.6× 160 0.5× 141 0.6× 76 0.5× 30 0.5× 8 552
Daniel Brian Nichols United States 12 339 0.8× 129 0.4× 214 0.9× 97 0.7× 130 2.1× 18 701
Robert N. Kirchdoerfer United States 7 679 1.6× 168 0.5× 258 1.1× 32 0.2× 106 1.7× 13 926

Countries citing papers authored by Haozhou Tan

Since Specialization
Citations

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

Fields of papers citing papers by Haozhou Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haozhou Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Haozhou Tan. A scholar is included among the top collaborators of Haozhou 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 Haozhou Tan. Haozhou Tan 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.
Klose, Thomas, et al.. (2026). Rational design and in vivo validation of capsid inhibitors for enterovirus D68. Nature Communications.
2.
Jadhav, Prakash D., Bin Tan, Haozhou Tan, et al.. (2025). Design of quinoline SARS-CoV-2 papain-like protease inhibitors as oral antiviral drug candidates. Nature Communications. 16(1). 1604–1604. 8 indexed citations
3.
Lewandowski, Eric M., Xiujun Zhang, Haozhou Tan, et al.. (2025). Distal protein-protein interactions contribute to nirmatrelvir resistance. Nature Communications. 16(1). 1266–1266. 3 indexed citations
4.
Li, Kan, Prakash D. Jadhav, Yu Wen, Haozhou Tan, & Jun Wang. (2025). Development of a Fluorescence Polarization Assay for the SARS-CoV-2 Papain-like Protease. ACS Pharmacology & Translational Science. 8(3). 774–784.
5.
Tan, Haozhou, Kan Li, & Jun Wang. (2025). Serial viral passage and reverse genetics protocol for identifying the antiviral drug targets of EV-D68 antivirals. STAR Protocols. 6(3). 104053–104053.
6.
Li, Kan, Yanmei Hu, Haozhou Tan, et al.. (2025). A rationally designed 2C inhibitor prevents enterovirus D68-infected mice from developing paralysis. Nature Communications. 16(1). 5987–5987.
7.
Tan, Haozhou, Qianru Zhang, Kan Li, et al.. (2025). Identification of naturally occurring drug-resistant mutations of SARS-CoV-2 papain-like protease. Nature Communications. 16(1). 4548–4548. 2 indexed citations
8.
Tan, Bin, Prakash D. Jadhav, Haozhou Tan, et al.. (2024). Design of a SARS-CoV-2 papain-like protease inhibitor with antiviral efficacy in a mouse model. Science. 383(6690). 1434–1440. 43 indexed citations breakdown →
9.
Tan, Haozhou, Brian Pollard, Kan Li, & Jun Wang. (2024). Discovery of A-967079 as an Enterovirus D68 Antiviral by Targeting the Viral 2C Protein. ACS Infectious Diseases. 10(12). 4327–4336. 2 indexed citations
10.
Li, Ying, An Li, Yue Wang, et al.. (2024). CypA/TAF15/STAT5A/miR-514a-3p feedback loop drives ovarian cancer metastasis. Oncogene. 43(49). 3570–3585. 3 indexed citations
12.
Wang, Jun, et al.. (2023). An Overview of Antivirals against Monkeypox Virus and Other Orthopoxviruses. Journal of Medicinal Chemistry. 66(7). 4468–4490. 34 indexed citations
13.
Hu, Yanmei, Eric M. Lewandowski, Haozhou Tan, et al.. (2023). Naturally Occurring Mutations of SARS-CoV-2 Main Protease Confer Drug Resistance to Nirmatrelvir. ACS Central Science. 9(8). 1658–1669. 167 indexed citations breakdown →
14.
Tan, Bin, M. Sacco, Haozhou Tan, et al.. (2023). Exploring diverse reactive warheads for the design of SARS-CoV-2 main protease inhibitors. European Journal of Medicinal Chemistry. 259. 115667–115667. 18 indexed citations
15.
Tan, Haozhou, Yanmei Hu, & Jun Wang. (2023). FlipGFP protease assay for evaluating in vitro inhibitory activity against SARS-CoV-2 Mpro and PLpro. STAR Protocols. 4(2). 102323–102323. 6 indexed citations
16.
Jadhav, Prakash D., Bo Huang, J. Osipiuk, et al.. (2023). Structure-based design of SARS-CoV-2 papain-like protease inhibitors. European Journal of Medicinal Chemistry. 264. 116011–116011. 12 indexed citations
17.
Tan, Haozhou, Chunlong Ma, & Jun Wang. (2022). Invalidation of dieckol and 1,2,3,4,6-pentagalloylglucose (PGG) as SARS-CoV-2 main protease inhibitors and the discovery of PGG as a papain-like protease inhibitor. Medicinal Chemistry Research. 31(7). 1147–1153. 16 indexed citations
18.
Cui, Meng, Haozhou Tan, Keman Xu, et al.. (2021). A benzopyran with antiarrhythmic activity is an inhibitor of Kir3.1-containing potassium channels. Journal of Biological Chemistry. 296. 100535–100535. 7 indexed citations
19.
Ma, Chunlong, Zilei Xia, M. Sacco, et al.. (2021). Discovery of Di- and Trihaloacetamides as Covalent SARS-CoV-2 Main Protease Inhibitors with High Target Specificity. Journal of the American Chemical Society. 143(49). 20697–20709. 106 indexed citations
20.
Ma, Chunlong, et al.. (2021). Validation and invalidation of SARS-CoV-2 main protease inhibitors using the Flip-GFP and Protease-Glo luciferase assays. Acta Pharmaceutica Sinica B. 12(4). 1636–1651. 62 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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