Ying-Shan Han

2.5k total citations
58 papers, 2.0k citations indexed

About

Ying-Shan Han is a scholar working on Infectious Diseases, Virology and Molecular Biology. According to data from OpenAlex, Ying-Shan Han has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Infectious Diseases, 31 papers in Virology and 28 papers in Molecular Biology. Recurrent topics in Ying-Shan Han's work include HIV Research and Treatment (31 papers), HIV/AIDS drug development and treatment (30 papers) and Biochemical and Molecular Research (13 papers). Ying-Shan Han is often cited by papers focused on HIV Research and Treatment (31 papers), HIV/AIDS drug development and treatment (30 papers) and Biochemical and Molecular Research (13 papers). Ying-Shan Han collaborates with scholars based in Canada, China and Netherlands. Ying-Shan Han's co-authors include Mark A. Wainberg, Thibault Mésplède, Stéphane Bastianetto, Rémi Quirion, Peter K. Quashie, Hongtao Xu, Maureen Oliveira, Jean‐Guy Chabot, Wenhua Zheng and Robert Verpoorte and has published in prestigious journals such as Journal of the American Chemical Society, PLoS ONE and Journal of Virology.

In The Last Decade

Ying-Shan Han

58 papers receiving 2.0k citations

Peers

Ying-Shan Han
Comparison fields: 5 of 109
  • Infectious Diseases 963
  • Virology 795
  • Molecular Biology 769
  • Epidemiology 181
  • Public Health, Environmental and Occupational Health 178
Replace Yanxing Han with:
Yanxing Han China
Sandro Norelli Italy
Vivek Dhar Dwivedi India
Luiz F. Pianowski Brazil
Vivek K. Vyas India
Soumya Ghosh India
Antonella Messore Italy
Ann Webb Canada
Cha‐Gyun Shin South Korea
Vı́ctor Castro Costa Rica
Yanxing Han China View profile →
Citations per field, relative to Ying-Shan Han
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Citations per year, relative to Ying-Shan Han
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Countries citing papers authored by Ying-Shan Han

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Shan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Shan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Shan Han. A scholar is included among the top collaborators of Ying-Shan Han 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 Ying-Shan Han. Ying-Shan Han 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 13
2 2
3 28
4 21
5 38
6 59
7 29
8 64
9 16
10 15
11 69
12 4
13 26
14 15
15 106
16 45
17 73
18 250
19 7
20 111

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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