Hai Pang

2.7k citations
47 papers · 2.0k indexed · 1 hit paper · h-index 20
Topics
Enzyme Structure and Function (16 papers)Animal Virus Infections Studies (8 papers)SARS-CoV-2 and COVID-19 Research (6 papers)
Partner nations
ChinaJapanUnited Kingdom

In The Last Decade

Hai Pang

46 papers receiving 2.0k citations

Hit Papers

The crystal structures of severe acute respiratory syndro...20032026201020182003250500750

Peers

Hai Pang
Comparison fields: 5 of 101
  • Infectious Diseases 1.1k
  • Molecular Biology 678
  • Computational Theory and Mathematics 445
  • Animal Science and Zoology 374
  • Epidemiology 236
Replace Clara C. Posthuma with:
Clara C. Posthuma Netherlands
Hauke S. Hillen Germany
Aartjan J.W. te Velthuis United Kingdom
Yahira M. Báez-Santos United States
Isabelle Imbert France
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×
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-authorship network of co-authors of Hai Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Pang. A scholar is included among the top collaborators of Hai Pang 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 Hai Pang. Hai Pang 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
#WorkIndexed citations
1 16
2 27
3 25
4 2
5 53
6 90
7 2
8 21
9 4
10 29
11 1
12 31
13 210
14 102
15 83
16
The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitorbreakdown →
773
17 4
18 2
19 5
20 35

About Hai Pang

Hai Pang is a scholar working on Animal Science and Zoology, Infectious Diseases and Aging, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (16 papers), Animal Virus Infections Studies (8 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Animal Science and Zoology (374 citations) and Computational Theory and Mathematics (445 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, Maojun Yang, R. Hilgenfeld, Haitao Yang and K. Anand. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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