Seng‐Lai Tan

3.0k total citations
36 papers, 2.4k citations indexed

About

Seng‐Lai Tan is a scholar working on Hepatology, Molecular Biology and Immunology. According to data from OpenAlex, Seng‐Lai Tan has authored 36 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hepatology, 12 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Seng‐Lai Tan's work include Hepatitis C virus research (15 papers), Hepatitis B Virus Studies (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Seng‐Lai Tan is often cited by papers focused on Hepatitis C virus research (15 papers), Hepatitis B Virus Studies (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Seng‐Lai Tan collaborates with scholars based in United States, Australia and Switzerland. Seng‐Lai Tan's co-authors include Michael G. Katze, Peter J. Parker, Michael Gale, Ying Huang, Kirk A. Staschke, Arnim Pause, Yupeng He, Nahum Sonenberg, Yuguang Shi and Uli Schmitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Seng‐Lai Tan

35 papers receiving 2.3k citations

Peers

Seng‐Lai Tan
Comparison fields: 5 of 99
  • Hepatology 918
  • Molecular Biology 800
  • Epidemiology 688
  • Immunology 655
  • Infectious Diseases 329
Replace Ulrike Seifert with:
Ulrike Seifert Germany
Cécile Voisset France
Petra Neddermann Italy
Julio Gutiérrez United States
Soon B. Hwang South Korea
Lee F. Peng United States
Teresa Cabezón Denmark
Ranjit Ray United States
William Markland United States
Elena Fernández‐Ruiz Spain
Ulrike Seifert Germany View profile →
Citations per field, relative to Seng‐Lai Tan
Seng‐Lai Tan · 1×
Citations per year, relative to Seng‐Lai Tan
Seng‐Lai Tan · 1×

Countries citing papers authored by Seng‐Lai Tan

Since Specialization
Citations

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

Fields of papers citing papers by Seng‐Lai Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seng‐Lai Tan. 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 Seng‐Lai Tan. The network helps show where Seng‐Lai Tan may publish in the future.

Co-authorship network of co-authors of Seng‐Lai Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Seng‐Lai Tan. A scholar is included among the top collaborators of Seng‐Lai Tan 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 Seng‐Lai Tan. Seng‐Lai Tan 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 37
2 169
3 5
4 2
5 50
6 28
7
Hepatitis C : antiviral drug discovery and development
21
8 25
9 64
10 125
11 24
12 117
13 54
14 19
15 56
16 41
17 29
18 56
19 4
20 95

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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