Hai Pang

2.7k citations
49 papers · 2.1k · 1 hit paper · h-index 20

Impact in

Papers in

Hai Pang

47 papers receiving 2.0k citations

Hai Pang's Hit Papers

The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitor 2003 · 783 citations
7830+7+15Years since publication250500750

Peers

Hai Pang
Comparison fields: 5 of 98
  • Infectious Diseases 1.1k
  • Animal Science and Zoology 358
  • Computational Theory and Mathematics 436
  • Virology 58
  • Pharmacology 83
Replace Clara C. Posthuma with:
Clara C. Posthuma Netherlands
Hauke S. Hillen Germany
Goran Kokić Germany
Isabelle Imbert France
Yahira M. Báez-Santos United States
Aartjan J.W. te Velthuis United States
Tianshu Xiao United States
Yuri Kusov Germany
William C. Groutas United States
Hai Pang relative to Clara C. Posthuma Netherlands Clara C. Posthuma's profile →
Citations per field
00.5×1.5×1.8×
Clara C. Posthuma · 1×
Citations per year

Countries citing papers authored by Hai Pang

Since Specialization
Citations

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

Fields of papers citing papers by Hai Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hai Pang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hai Pang Line = papers co-authored together Hai Pang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitor
Hit paper breakdown →
2003783
2 2005212
3 2004174
4 2004103
5 201391
6 200484
7 200575
8 200463
9 201354
10 200451
11 199835
12 200531
13 201029
14 201627
15 200525
16 201525
17 201123
18 201121
19 200420
20 201019

About Hai Pang

Hai Pang is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (16 papers), Animal Virus Infections Studies (8 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Biochemical and Molecular Research (5 papers), Tuberculosis Research and Epidemiology (5 papers), ATP Synthase and ATPases Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Animal Science and Zoology (358 citations), Computational Theory and Mathematics (436 citations), Virology (58 citations) and Pharmacology (83 citations). Hai Pang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Zihe Rao, Mark Bartlam, George F. Gao, Zhiyong Lou, Yiwei Liu, Lei Sun, Haitao Yang, Maojun Yang, Yi Ding and Lijuan Mo. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Biophysical Journal, Research in Veterinary Science and Protein & Cell.

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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