Hua Chen

101 total papers · 31.7k total citations
66 papers, 19.4k citations indexed

About

Hua Chen is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Hua Chen has authored 66 papers receiving a total of 19.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 9 papers in Oncology and 8 papers in Surgery. Recurrent topics in Hua Chen's work include Toxin Mechanisms and Immunotoxins (7 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Hua Chen is often cited by papers focused on Toxin Mechanisms and Immunotoxins (7 papers), Immune Cell Function and Interaction (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Hua Chen collaborates with scholars based in China, United States and United Kingdom. Hua Chen's co-authors include Bin Cao, Yuan Wei, Xiaoying Gu, Xudong Wu, Hui Li, Bin Song, Fei Zhou, Shengjin Tu, Ying Liu and Yeming Wang and has published in prestigious journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hua Chen

59 papers receiving 18.9k citations

Hit Papers

Clinical course and risk ... 2020 2026 2022 2024 2020 5.0k 10.0k 15.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hua Chen 12.7k 6.3k 3.9k 2.1k 1.7k 66 19.4k
Hui Li 12.6k 1.0× 6.4k 1.0× 3.7k 1.0× 2.2k 1.0× 1.7k 1.0× 61 19.0k
Yeming Wang 13.0k 1.0× 6.8k 1.1× 3.8k 1.0× 2.5k 1.2× 1.8k 1.1× 66 19.4k
Xiaoying Gu 12.9k 1.0× 6.8k 1.1× 3.7k 1.0× 2.2k 1.1× 1.8k 1.1× 48 19.1k
Fei Zhou 12.9k 1.0× 6.4k 1.0× 3.7k 1.0× 2.4k 1.1× 1.8k 1.0× 41 19.0k
Jie Xiang 12.8k 1.0× 6.5k 1.0× 3.9k 1.0× 2.2k 1.1× 2.0k 1.2× 123 19.7k
Guohui Fan 12.9k 1.0× 6.5k 1.0× 3.9k 1.0× 2.8k 1.3× 1.9k 1.1× 124 21.7k
Xudong Wu 12.7k 1.0× 6.4k 1.0× 4.0k 1.0× 2.2k 1.1× 1.8k 1.0× 86 21.0k
Jieming Qu 10.7k 0.8× 4.7k 0.7× 2.4k 0.6× 2.1k 1.0× 1.6k 0.9× 80 16.8k
Jiuyang Xu 13.4k 1.1× 6.7k 1.1× 3.8k 1.0× 2.3k 1.1× 1.8k 1.0× 28 19.2k
Min Zhou 11.4k 0.9× 5.3k 0.8× 2.9k 0.8× 1.9k 0.9× 1.7k 1.0× 135 20.5k

Countries citing papers authored by Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua Chen. 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 Hua Chen. The network helps show where Hua Chen may publish in the future.

Co-authorship network of co-authors of Hua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Chen. A scholar is included among the top collaborators of Hua Chen 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 Hua Chen. Hua Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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