Xinhua Chen

121 total papers · 3.9k total citations
76 papers, 2.6k citations indexed

About

Xinhua Chen is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Xinhua Chen has authored 76 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Infectious Diseases, 35 papers in Epidemiology and 19 papers in Molecular Biology. Recurrent topics in Xinhua Chen's work include Clostridium difficile and Clostridium perfringens research (46 papers), Microscopic Colitis (34 papers) and Viral gastroenteritis research and epidemiology (16 papers). Xinhua Chen is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (46 papers), Microscopic Colitis (34 papers) and Viral gastroenteritis research and epidemiology (16 papers). Xinhua Chen collaborates with scholars based in United States, China and France. Xinhua Chen's co-authors include Ciarán P. Kelly, Jeffrey D. Goldsmith, Kianoosh Katchar, Dale N. Gerding, Charalabos Pothoulakis, Adam Cheknis, N. Nanda Nanthakumar, Hua Xu, Hongjie Yu and Ruijia Sun and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Xinhua Chen

75 papers receiving 2.6k citations

Hit Papers

Modeling transmission of ... 2022 2026 2023 2024 2022 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Xinhua Chen 1.7k 863 735 356 343 76 2.6k
Paul Naaber 859 0.5× 697 0.8× 313 0.4× 521 1.5× 157 0.5× 56 2.4k
Αndreas Mentis 818 0.5× 540 0.6× 589 0.8× 278 0.8× 1.3k 3.7× 109 3.2k
Ener Çağrı Dinleyici 656 0.4× 560 0.6× 702 1.0× 413 1.2× 188 0.5× 161 2.6k
Sunil K. Lal 2.0k 1.2× 1.6k 1.8× 1.0k 1.4× 128 0.4× 199 0.6× 120 4.7k
Epp Sepp 724 0.4× 1.1k 1.3× 300 0.4× 783 2.2× 147 0.4× 63 2.9k
Asko Järvinen 1.3k 0.8× 842 1.0× 1.2k 1.6× 688 1.9× 316 0.9× 126 4.0k
Shuaiyin Chen 1.3k 0.8× 735 0.9× 319 0.4× 104 0.3× 311 0.9× 123 3.1k
Matthias Maiwald 808 0.5× 379 0.4× 892 1.2× 79 0.2× 584 1.7× 97 3.3k
Bee Wah Lee 427 0.3× 558 0.6× 363 0.5× 357 1.0× 582 1.7× 118 3.8k
Nora C. Toussaint 1.5k 0.9× 2.4k 2.8× 483 0.7× 352 1.0× 389 1.1× 31 3.6k

Countries citing papers authored by Xinhua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Chen. A scholar is included among the top collaborators of Xinhua 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 Xinhua Chen. Xinhua 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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