Teh‐Sheng Chan

1.9k total citations
34 papers, 1.6k citations indexed

About

Teh‐Sheng Chan is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Teh‐Sheng Chan has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Epidemiology and 6 papers in Infectious Diseases. Recurrent topics in Teh‐Sheng Chan's work include Biochemical and Molecular Research (9 papers), Hepatitis C virus research (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Teh‐Sheng Chan is often cited by papers focused on Biochemical and Molecular Research (9 papers), Hepatitis C virus research (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Teh‐Sheng Chan collaborates with scholars based in United States, France and Japan. Teh‐Sheng Chan's co-authors include Howard Green, Jiaren Sun, Yanchun Li, Steven A. Weinman, Lori Showalter, Ting Wang, Masaaki Korenaga, Chien‐Te K. Tseng, Shinji Makino and Cheng Huang and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Teh‐Sheng Chan

33 papers receiving 1.5k citations

Peers

Teh‐Sheng Chan
Comparison fields: 5 of 95
  • Molecular Biology 656
  • Epidemiology 513
  • Infectious Diseases 401
  • Physiology 292
  • Hepatology 252
Thomas L. Brown United States
Muhammad A. Sohail United States
Yuushi Okumura Japan
Alain Doglio France
Rosalba Minisini Italy
Pamela S. Tietz United States
Akio Hayashi Japan
Peter Swetly Austria
Marianne Jensby Nielsen Denmark
Jeike Biewenga Netherlands
Thomas L. Brown United States View profile →
Citations per field, relative to Teh‐Sheng Chan
Teh‐Sheng Chan · 1×
Citations per year, relative to Teh‐Sheng Chan
Teh‐Sheng Chan · 1×

Countries citing papers authored by Teh‐Sheng Chan

Since Specialization
Citations

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

Fields of papers citing papers by Teh‐Sheng Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teh‐Sheng Chan. 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 Teh‐Sheng Chan. The network helps show where Teh‐Sheng Chan may publish in the future.

Co-authorship network of co-authors of Teh‐Sheng Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Teh‐Sheng Chan. A scholar is included among the top collaborators of Teh‐Sheng Chan 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 Teh‐Sheng Chan. Teh‐Sheng Chan 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 65
2 16
3 28
4 9
5 188
6 333
7 106
8 15
9 40
10 1
11 24
12 7
13 9
14 6
15 1
16 2
17 10
18 23
19 236
20 24

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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