Boshi Huang

2.2k citations
70 papers · 1.8k · h-index 24

Impact in

Papers in

Boshi Huang

70 papers receiving 1.7k citations

Peers

Boshi Huang
Comparison fields: 5 of 94
  • Virology 549
  • Infectious Diseases 703
  • Organic Chemistry 664
  • Epidemiology 396
  • Molecular Biology 621
Replace Mika Okamoto with:
Mika Okamoto Japan
Donna L. Romero United States
Arnaud Marchand Belgium
Sally Redshaw United Kingdom
Chris Meier Germany
Zengjun Fang China
J. M. HOFFMAN United States
Christiane Yoakim Canada
Melissa S. Egbertson United States
Paul A. Aristoff United States
Boshi Huang relative to Mika Okamoto Japan Mika Okamoto's profile →
Citations per field
00.5×3.9×
Mika Okamoto · 1×
Citations per year

Countries citing papers authored by Boshi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Boshi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Boshi Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Boshi Huang Line = papers co-authored together Boshi Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015153
2 2016120
3 1997110
4 201785
5 201583
6 201881
7 201972
8 201763
9 201760
10 201945
11 201543
12 202243
13 201639
14 202038
15 201537
16 202030
17 201829
18 201929
19 201529
20 201629

About Boshi Huang

Boshi Huang is a scholar working on Infectious Diseases, Virology, Molecular Biology, Organic Chemistry and Epidemiology, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (37 papers), HIV Research and Treatment (30 papers), Click Chemistry and Applications (18 papers), Pneumocystis jirovecii pneumonia detection and treatment (13 papers), Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (8 papers), Hemoglobinopathies and Related Disorders (5 papers) and Biochemical and Molecular Research (5 papers). The work is most often cited by research in Virology (549 citations), Infectious Diseases (703 citations), Organic Chemistry (664 citations), Epidemiology (396 citations) and Molecular Biology (621 citations). Boshi Huang has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Xinyong Liu, Peng Zhan, Dongwei Kang, Erik De Clercq, Christophe Pannecouque, Yan Zhang, Dirk Daelemans, Xueshun Wang, Zhongxia Zhou and T.B. Ng. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Drug Discovery Today, Expert Opinion on Therapeutic Patents and Bioorganic & Medicinal Chemistry Letters.

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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