Chien‐Sheng Wu

1.3k total citations
62 papers, 924 citations indexed

About

Chien‐Sheng Wu is a scholar working on Rheumatology, Immunology and Molecular Biology. According to data from OpenAlex, Chien‐Sheng Wu has authored 62 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Rheumatology, 22 papers in Immunology and 15 papers in Molecular Biology. Recurrent topics in Chien‐Sheng Wu's work include Systemic Lupus Erythematosus Research (13 papers), Immune Cell Function and Interaction (7 papers) and Hepatitis B Virus Studies (6 papers). Chien‐Sheng Wu is often cited by papers focused on Systemic Lupus Erythematosus Research (13 papers), Immune Cell Function and Interaction (7 papers) and Hepatitis B Virus Studies (6 papers). Chien‐Sheng Wu collaborates with scholars based in Taiwan, United States and China. Chien‐Sheng Wu's co-authors include Ping‐Ning Hsu, I‐Tsu Chyuan, Hwei-Fang Tsai, Hsiu‐Jung Liao, Chung‐Yi Hu, Sheng‐Kai Chang, Zwe‐Ling Kong, Gin-Shin Chen, Chih-Hung Chang and Shih‐Hwa Chiou and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and PLoS ONE.

In The Last Decade

Chien‐Sheng Wu

58 papers receiving 902 citations

Peers

Chien‐Sheng Wu
Comparison fields: 5 of 103
  • Immunology 334
  • Molecular Biology 263
  • Rheumatology 198
  • Epidemiology 176
  • Surgery 114
Replace Stephan Regenass with:
Stephan Regenass Switzerland
Andrea Barbieri United States
Markus Wörnle Germany
Aliakbar Amirzargar Iran
Jan M. H. van den Brande Netherlands
Marek Karczewski Poland
Natasa Isailovic Italy
Matthew J. Ruddy United States
Vandana Pradhan India
Stephan Regenass Switzerland View profile →
Citations per field, relative to Chien‐Sheng Wu
Chien‐Sheng Wu · 1×
Citations per year, relative to Chien‐Sheng Wu
Chien‐Sheng Wu · 1×

Countries citing papers authored by Chien‐Sheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Sheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Sheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Sheng Wu. A scholar is included among the top collaborators of Chien‐Sheng Wu 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 Chien‐Sheng Wu. Chien‐Sheng Wu 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 0
3 4
4 0
5 5
6 6
7 2
8 15
9 42
10 22
11 7
12 15
13 1
14 20
15 19
16 1
17 15
18 8
19 13
20 21

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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