Cheng‐Pu Sun

1.3k citations
24 papers · 614 · h-index 14

Impact in

Papers in

Cheng‐Pu Sun

20 papers receiving 604 citations

Peers

Cheng‐Pu Sun
Comparison fields: 5 of 95
  • Hepatology 68
  • Infectious Diseases 123
  • Epidemiology 198
  • Cellular and Molecular Neuroscience 90
  • Molecular Biology 303
Replace Minghai Zhou with:
Minghai Zhou China
Yongwei Qin China
Paola Costa Italy
María Cecilia Rodriguez‐Galán Argentina
Christopher C. Kemball United States
B Fülöp Hungary
Paola M. Barral United States
Dinesh Verma United States
Pulin Che United States
Fuwang Peng United States
Cheng‐Pu Sun relative to Minghai Zhou China Minghai Zhou's profile →
Citations per field
00.5×5.2×
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Citations per year

Countries citing papers authored by Cheng‐Pu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Pu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Pu 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 Cheng‐Pu Sun. The network helps show where Cheng‐Pu Sun may publish in the future.

Co-authors

The 25 scholars most cited alongside Cheng‐Pu Sun, 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 Cheng‐Pu Sun Line = papers co-authored together Cheng‐Pu Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011161
2 202294
3 201653
4 200846
5 202136
6 202235
7 201823
8 201822
9 201821
10 201518
11 201917
12 202116
13 201316
14 201614
15 202311
16 20237
17 20247
18 20117
19 20207
20 20213

About Cheng‐Pu Sun

Cheng‐Pu Sun is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Hepatology and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 614 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (6 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (3 papers), COVID-19 Clinical Research Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Hepatology (68 citations), Infectious Diseases (123 citations), Epidemiology (198 citations), Cellular and Molecular Neuroscience (90 citations) and Molecular Biology (303 citations). Cheng‐Pu Sun has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Mi‐Hua Tao, Tz‐Chuen Ju, Yijuang Chern, Huimei Chen, Chen Chang, Pang‐Hsien Tu, Ching‐Pang Chang, Dennis W. Dickson, Chun‐Chi Chen and Shie‐Liang Hsieh. Their work appears in journals such as Journal of Biomedical Science, Molecular Therapy, Hepatology, Human Gene Therapy and Scientific Reports.

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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