Jin-Hua Sun

2.6k citations
34 papers · 2.0k indexed · 1 hit paper · h-index 24
Topics
Hepatitis C virus research (18 papers)Hepatitis B Virus Studies (10 papers)HIV/AIDS drug development and treatment (9 papers)

In The Last Decade

Jin-Hua Sun

33 papers receiving 1.9k citations

Hit Papers

Chemical genetics strategy identifies an HCV NS5A inhibit...20102026201520202010200400600

Peers

Jin-Hua Sun
Comparison fields: 5 of 83
  • Hepatology 1.3k
  • Epidemiology 1.0k
  • Infectious Diseases 607
  • Molecular Biology 427
  • Plant Science 183
Replace Julie A. Lemm with:
Julie A. Lemm United States
David Tyrrell Canada
Nanhua Yao United States
Kenneth Simmen Belgium
Angela M. Lam United States
Kai Lin United States
Tsuyoshi Adachi Japan
Robert Hamatake United States
D R Averett United States
Sophie Le Pogam United States
Jin-Hua Sun relative to Julie A. Lemm United States Julie A. Lemm's profile →
Citations per field
00.5×1.5×
Julie A. Lemm · 1×
Citations per year

Countries citing papers authored by Jin-Hua Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Hua Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Hua Sun. 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 Jin-Hua Sun. The network helps show where Jin-Hua Sun may publish in the future.

Co-authorship network of co-authors of Jin-Hua Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Hua Sun. A scholar is included among the top collaborators of Jin-Hua Sun 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 Jin-Hua Sun. Jin-Hua Sun 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 0
2 11
3 34
4 54
5 35
6 80
7 3
8 41
9 23
10 38
11 44
12 186
13
Chemical genetics strategy identifies an HCV NS5A inhibitor with a potent clinical effectbreakdown →
689
14 1
15 7
16 34
17 31
18 77
19 4
20 13

About Jin-Hua Sun

Jin-Hua Sun is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 34 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hepatitis C virus research (18 papers), Hepatitis B Virus Studies (10 papers) and HIV/AIDS drug development and treatment (9 papers). The work is most often cited by research in Hepatology (1.3k citations), Infectious Diseases (607 citations) and Epidemiology (1.0k citations). Jin-Hua Sun has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Donald R. O’Boyle, Robert A. Fridell, Chunfu Wang, Julie A. Lemm, Peter T. Nower, Nicholas A. Meanwell, Richard E. Nettles, Richard J. Colonno, Lawrence B. Snyder and Chia‐Sui Kao. Their work appears in journals such as Nature, Journal of Clinical Oncology and Molecular and Cellular Biology.

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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