Cheng‐Chin Wu

816 total citations
38 papers, 619 citations indexed

About

Cheng‐Chin Wu is a scholar working on Rheumatology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Cheng‐Chin Wu has authored 38 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Rheumatology, 10 papers in Pathology and Forensic Medicine and 9 papers in Oncology. Recurrent topics in Cheng‐Chin Wu's work include Systemic Lupus Erythematosus Research (14 papers), Rheumatoid Arthritis Research and Therapies (7 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Cheng‐Chin Wu is often cited by papers focused on Systemic Lupus Erythematosus Research (14 papers), Rheumatoid Arthritis Research and Therapies (7 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Cheng‐Chin Wu collaborates with scholars based in Taiwan and United States. Cheng‐Chin Wu's co-authors include Jeng‐Hsien Yen, Tsan‐Teng Ou, Wen‐Chan Tsai, Hong‐Wen Liu, Chia‐Hui Lin, Ruei‐Nian Li, Chia‐Chun Tseng, Po‐Lin Kuo, Shu‐Chen Wang and Shun‐Jen Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Cheng‐Chin Wu

35 papers receiving 613 citations

Peers

Cheng‐Chin Wu
Comparison fields: 5 of 74
  • Immunology 254
  • Rheumatology 240
  • Molecular Biology 180
  • Oncology 94
  • Genetics 66
Replace Hye‐Jin Son with:
Hye‐Jin Son South Korea
Tsai-Hung Wu Taiwan
Lianjie Shi China
Bettina Sehnert Germany
Kongyang Ma China
Dres Damgaard Denmark
Lisa Göschl Austria
Kayaho Maeda Japan
Fujio Nakazawa Japan
Yeminia Valle Mexico
Hye‐Jin Son South Korea View profile →
Citations per field, relative to Cheng‐Chin Wu
Cheng‐Chin Wu · 1×
Citations per year, relative to Cheng‐Chin Wu
Cheng‐Chin Wu · 1×

Countries citing papers authored by Cheng‐Chin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Chin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cheng‐Chin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng‐Chin Wu. A scholar is included among the top collaborators of Cheng‐Chin 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 Cheng‐Chin Wu. Cheng‐Chin 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 12
4 15
5 9
6 9
7 40
8 8
9 26
10 8
11 10
12 2
13 30
14 12
15 10
16 86
17 15
18 4
19 13
20 47

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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