Duosha Hu

25 total papers · 946 total citations
19 papers, 773 citations indexed

About

Duosha Hu is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Duosha Hu has authored 19 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Duosha Hu's work include Viral-associated cancers and disorders (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Duosha Hu is often cited by papers focused on Viral-associated cancers and disorders (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Duosha Hu collaborates with scholars based in China, United States and Hong Kong. Duosha Hu's co-authors include Ya Cao, Haidan Liu, Hui Zheng, Robert Yarchoan, Thomas S. Uldrick, Mark N. Polizzotto, Min Tang, Ming Li, Zhi Duan and Lili Li and has published in prestigious journals such as PLoS ONE, Journal of Virology and The FASEB Journal.

In The Last Decade

Duosha Hu

19 papers receiving 759 citations

Author Peers

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

Author Last Decade Papers Cites
Duosha Hu 324 316 267 145 141 19 773
Claude Soubrane 239 0.7× 409 1.3× 190 0.7× 114 0.8× 93 0.7× 20 744
R. Handgretinger 229 0.7× 222 0.7× 226 0.8× 65 0.4× 106 0.8× 33 717
Kavitha Balaji 319 1.0× 378 1.2× 226 0.8× 93 0.6× 48 0.3× 15 822
Pradip Nair 382 1.2× 226 0.7× 178 0.7× 103 0.7× 115 0.8× 22 757
Febe van Maldegem 309 1.0× 232 0.7× 307 1.1× 42 0.3× 75 0.5× 20 853
Bruce G. Kulander 220 0.7× 240 0.8× 130 0.5× 133 0.9× 87 0.6× 13 833
Michael A. Damore 300 0.9× 270 0.9× 281 1.1× 140 1.0× 44 0.3× 30 763
Marco Gerling 319 1.0× 255 0.8× 165 0.6× 60 0.4× 45 0.3× 23 768
Shigeto Kawai 337 1.0× 187 0.6× 281 1.1× 144 1.0× 86 0.6× 28 834
L Deneux 378 1.2× 343 1.1× 316 1.2× 130 0.9× 51 0.4× 17 837

Countries citing papers authored by Duosha Hu

Since Specialization
Citations

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

Fields of papers citing papers by Duosha Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duosha Hu

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