Han‐Chung Wu

9.7k total citations · 2 hit papers
169 papers, 7.1k citations indexed

About

Han‐Chung Wu is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Han‐Chung Wu has authored 169 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 88 papers in Molecular Biology, 34 papers in Oncology and 32 papers in Infectious Diseases. Recurrent topics in Han‐Chung Wu's work include Monoclonal and Polyclonal Antibodies Research (25 papers), Mosquito-borne diseases and control (22 papers) and Glycosylation and Glycoproteins Research (16 papers). Han‐Chung Wu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (25 papers), Mosquito-borne diseases and control (22 papers) and Glycosylation and Glycoproteins Research (16 papers). Han‐Chung Wu collaborates with scholars based in Taiwan, United States and China. Han‐Chung Wu's co-authors include Ruei‐Min Lu, I-Ju Liu, Hsin‐Jung Li, Chi‐Chiu Lee, Chin‐Tarng Lin, De-Kuan Chang, Chien‐Hsun Wu, Yi‐Ping Wang, Kang-Hao Liang and Albert Lo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Han‐Chung Wu

162 papers receiving 6.9k citations

Hit Papers

Development of therapeutic antibodies for the treatment o... 2020 2026 2022 2024 2020 2022 400 800 1.2k

Peers

Han‐Chung Wu
Comparison fields: 5 of 160
  • Molecular Biology 3.7k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Oncology 1.3k
  • Infectious Diseases 1.3k
  • Public Health, Environmental and Occupational Health 878
Replace Hua Zhu with:
Hua Zhu China
Rebecca L. Rich United States
Yoshio Hayashi Japan
Rongguang Zhang China
Michael A. Barry United States
Hugues Lortat‐Jacob France
Ram Sasisekharan United States
Zuben E. Sauna United States
Reto A. Schwendener Switzerland
J. Thomas August United States
Hua Zhu China View profile →
Citations per field, relative to Han‐Chung Wu
Han‐Chung Wu · 1×
Citations per year, relative to Han‐Chung Wu
Han‐Chung Wu · 1×

Countries citing papers authored by Han‐Chung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Chung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Han‐Chung Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Chung Wu. A scholar is included among the top collaborators of Han‐Chung 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 Han‐Chung Wu. Han‐Chung 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 3
2 2
3 13
4 22
5 101
6 18
7 27
8 39
9 54
10 10
11 28
12 16
13 39
14 8
15 1
16 59
17 6
18 242
19
Hepatocellular carcinoma cell-specific peptide ligand for targeted drug delivery
4
20 123

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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2026