Hong Tang

5.3k total citations
171 papers, 3.1k citations indexed

About

Hong Tang is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Hong Tang has authored 171 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Epidemiology, 71 papers in Hepatology and 32 papers in Molecular Biology. Recurrent topics in Hong Tang's work include Hepatitis B Virus Studies (70 papers), Liver Disease Diagnosis and Treatment (61 papers) and Hepatitis C virus research (58 papers). Hong Tang is often cited by papers focused on Hepatitis B Virus Studies (70 papers), Liver Disease Diagnosis and Treatment (61 papers) and Hepatitis C virus research (58 papers). Hong Tang collaborates with scholars based in China, United States and Australia. Hong Tang's co-authors include En‐Qiang Chen, Seishi Murakami, Naoki Oishi, A. McLachlan, Shuichi Kaneko, Lang Bai, Dongbo Wu, Lingyao Du, Feijun Huang and Duoduo Lv and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and Hepatology.

In The Last Decade

Hong Tang

161 papers receiving 3.0k citations

Peers

Hong Tang
Comparison fields: 5 of 117
  • Epidemiology 1.9k
  • Hepatology 1.2k
  • Molecular Biology 863
  • Surgery 374
  • Immunology 336
Replace Amir Shlomai with:
Amir Shlomai Israel
Shinya Maekawa Japan
Florian W. R. Vondran Germany
Masaya Sugiyama Japan
Leonie Beljaars Netherlands
Philippe Gripon France
Mirjam B. Zeisel France
Zania Stamataki United Kingdom
Stephan Schaefer Germany
Kenji Kaneda Japan
Amir Shlomai Israel View profile →
Citations per field, relative to Hong Tang
Hong Tang · 1×
Citations per year, relative to Hong Tang
Hong Tang · 1×

Countries citing papers authored by Hong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Hong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Tang. A scholar is included among the top collaborators of Hong Tang 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 Hong Tang. Hong Tang 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
# Work Indexed citations
1 0
2 2
3 2
4 5
5 16
6 2
7 2
8 5
9 2
10 40
11 4
12 12
13 33
14 10
15 3
16 2
17
Primary hepatic diffuse large B cell lymphoma: A case report
14
18
The transcriptional transactivation function of HBx protein is important for its augmentation role in hepatitis B virus replication1
160
19 235
20 25

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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