Beinan Wang

1.9k citations
42 papers · 1.2k · h-index 19

Impact in

Papers in

Beinan Wang

41 papers receiving 1.2k citations

Peers

Beinan Wang
Comparison fields: 5 of 99
  • Microbiology 166
  • Immunology 384
  • Periodontics 78
  • Infectious Diseases 261
  • Public Health, Environmental and Occupational Health 325
Replace Måns Ullberg with:
Måns Ullberg Sweden
Rita G. Kansal United States
Heather R. Conti United States
Kazuki Tawaratsumida United States
Seiichi Inamura Japan
Jung Joo Hong South Korea
Jianing N. Sun United States
Thomas P. Kohler Germany
Wilmara Salgado‐Pabón United States
Celia Murciano Spain
Beinan Wang relative to Måns Ullberg Sweden Måns Ullberg's profile →
Citations per field
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Måns Ullberg · 1×
Citations per year

Countries citing papers authored by Beinan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Beinan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beinan Wang, 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 Beinan Wang Line = papers co-authored together Beinan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001232
2 2014117
3 2002107
4 201081
5 200563
6 199653
7 202049
8 200645
9 200543
10 200341
11 200338
12 200034
13 200632
14 200730
15 201429
16 202121
17 199819
18 201418
19 201918
20 200917

About Beinan Wang

Beinan Wang is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Molecular Biology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (15 papers), Immune Response and Inflammation (11 papers), Neonatal and Maternal Infections (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Biochemical and Structural Characterization (4 papers), Cloud Computing and Resource Management (3 papers), NF-κB Signaling Pathways (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Microbiology (166 citations), Immunology (384 citations), Periodontics (78 citations), Infectious Diseases (261 citations) and Public Health, Environmental and Occupational Health (325 citations). Beinan Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include P. Patrick Cleary, Jiandong Li, David Lim, Jiahuai Han, Haidong Xu, P. Patrick Cleary, David Kolodrubetz, Xin Fan, Ellen Kraig and Tsuyoshi Shuto. Their work appears in journals such as Infection and Immunity, Proceedings of the National Academy of Sciences, Cellular Microbiology, Microbiology Spectrum and PLoS ONE.

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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