Weihui Li

847 citations
31 papers · 635 · h-index 15

Impact in

Papers in

    • Mycobacterium research and diagnosis 14
    • Pneumocystis jirovecii pneumonia detection and treatment 2
    • Tuberculosis Research and Epidemiology 12

Weihui Li

28 papers receiving 626 citations

Peers

Weihui Li
Comparison fields: 5 of 90
  • Molecular Medicine 78
  • Infectious Diseases 147
  • Endocrinology 31
  • Microbiology 36
  • Genetics 122
Replace Kiho Lee with:
Kiho Lee South Korea
Gabriel L. Hendricks United States
Hidehito Matsui Japan
Wenwen Huo China
Silke Seeber Germany
Thommie Karlsson Sweden
Wenjuan Wei China
Jing Cheng China
Yonas A. Alamneh United States
Weihui Li relative to Kiho Lee South Korea Kiho Lee's profile →
Citations per field
00.5×2.6×
Kiho Lee · 1×
Citations per year

Countries citing papers authored by Weihui Li

Since Specialization
Citations

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

Fields of papers citing papers by Weihui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201275
3 201072
4 200456
5 201847
6 202332
7 201825
8 201923
9 202422
10 200820
11 201320
12 202016
13 202316
14 201915
15 201115
16 202213
17 202213
18 201513
19 20209
20 20128

About Weihui Li

Weihui Li is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Molecular Biology and Genetics, having authored 31 papers that have together received 635 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (14 papers), Tuberculosis Research and Epidemiology (12 papers), Antibiotic Resistance in Bacteria (11 papers), Bacterial Genetics and Biotechnology (4 papers), Cardiac electrophysiology and arrhythmias (2 papers), Cardiovascular Effects of Exercise (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Molecular Medicine (78 citations), Infectious Diseases (147 citations), Endocrinology (31 citations), Microbiology (36 citations) and Genetics (122 citations). Weihui Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng‐Guo He, Lei Zhang, Natalia A. Trayanova, Peter Köhl, Zhiwei Xie, Andrew C. Ahn, Hua Zhang, Jiarui Chen, Tao Cui and Meng Li. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry, PLoS ONE, International Journal of Molecular Sciences and Journal of genetics and genomics.

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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