Boping Zhou

2.5k citations
54 papers · 1.6k · h-index 20

Impact in

Papers in

Boping Zhou

50 papers receiving 1.6k citations

Peers

Boping Zhou
Comparison fields: 5 of 89
  • Infectious Diseases 497
  • Hepatology 197
  • Animal Science and Zoology 179
  • Epidemiology 463
  • Cancer Research 185
Replace Saumitra Das with:
Saumitra Das India
J. J. Alexander South Africa
Zhaohua Zhong China
Maria Isaguliants Sweden
Ren-Jye Lin Taiwan
Monique Clément France
Lih‐Hwa Hwang Taiwan
Kaku Goto Japan
Boping Zhou relative to Saumitra Das India Saumitra Das's profile →
Citations per field
00.5×3.1×
Saumitra Das · 1×
Citations per year

Countries citing papers authored by Boping Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Boping Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012304
2 2007171
3 2008151
4 2008107
5 201083
6 202081
7 200763
8 200457
9 201855
10 202351
11 201848
12
The diagnostic and prognostic usage of circulating tumor DNA in operable hepatocellular carcinoma.
201944
13 201842
14 200339
15 202133
16 202129
17 201828
18 202028
19 201525
20 201722

About Boping Zhou

Boping Zhou is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Plant Science and Immunology, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Phytochemistry and Biological Activities (5 papers), Hepatitis C virus research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Influenza Virus Research Studies (4 papers), RNA Interference and Gene Delivery (3 papers), Immunotherapy and Immune Responses (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (497 citations), Hepatology (197 citations), Animal Science and Zoology (179 citations), Epidemiology (463 citations) and Cancer Research (185 citations). Boping Zhou has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xinchun Chen, Kwok‐Hung Chan, Patrick C. Y. Woo, Susanna K. P. Lau, Kwok‐Yung Yuen, Weigang Wu, Xiaobin Zeng, Cyril Chik‐Yan Yip, Guilin Yang and Lanlan Ge. Their work appears in journals such as Phytomedicine, PLoS ONE, The Journal of Infectious Diseases, The Journal of Steroid Biochemistry and Molecular Biology and Data in Brief.

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.

Explore authors with similar magnitude of impact