Cheng-Han Wu

1.7k citations
64 papers · 1.3k · h-index 20

Impact in

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 8
    • Immune Response and Inflammation 4
    • Inflammasome and immune disorders 3

Cheng-Han Wu

60 papers receiving 1.3k citations

Peers

Cheng-Han Wu
Comparison fields: 5 of 107
  • Clinical Biochemistry 127
  • Immunology and Allergy 97
  • Nephrology 102
  • Immunology 274
  • Rheumatology 159
Replace Maria D’Apolito with:
Maria D’Apolito Italy
Roselyne Garnotel France
Jianli Niu United States
Emanuela Galliera Italy
Qian Chen China
Yizhuo Wang China
Kristiina Rajamäki Finland
Ileana Mânduțeanu Romania
Ting Xie China
Toshiyuki Yamada Japan
Cheng-Han Wu relative to Maria D’Apolito Italy Maria D’Apolito's profile →
Citations per field
00.5×3.5×
Maria D’Apolito · 1×
Citations per year

Countries citing papers authored by Cheng-Han Wu

Since Specialization
Citations

This map shows the geographic impact of Cheng-Han 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-Han 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-Han Wu more than expected).

Fields of papers citing papers by Cheng-Han Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cheng-Han Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cheng-Han Wu Line = papers co-authored together Cheng-Han Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020204
2 200393
3 201180
4 202358
5 202154
6 201939
7 200637
8 201236
9 200631
10 201930
11 200828
12 201127
13 201725
14 201624
15 202023
16 202023
17 200621
18 202121
19 201721
20 202119

About Cheng-Han Wu

Cheng-Han Wu is a scholar working on Immunology, Molecular Biology, Rheumatology, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 64 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Systemic Lupus Erythematosus Research (7 papers), Immune Response and Inflammation (4 papers), Cancer-related molecular mechanisms research (4 papers), Advanced Glycation End Products research (4 papers), Inflammasome and immune disorders (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (127 citations), Immunology and Allergy (97 citations), Nephrology (102 citations), Immunology (274 citations) and Rheumatology (159 citations). Cheng-Han Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Ko‐Jen Li, Song‐Chou Hsieh, Chia‐Li Yu, Yu‐Min Kuo, Chieh‐Yu Shen, Chang‐Youh Tsai, Cheng‐Hsun Lu, Ming‐Chi Lu, R H Lin and K HSIEH. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, PLoS ONE, Biomedicines and Journal of Leukocyte Biology.

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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