Guo‐Bo Li

111 papers receiving 2.4k citations

Peers

Guo‐Bo Li
Comparison fields: 5 of 139
  • Molecular Medicine 330
  • Geriatrics and Gerontology 218
  • Physiology 107
  • Organic Chemistry 639
  • Biological Psychiatry 54
Replace Vincent Kam Wai Wong with:
Vincent Kam Wai Wong Macao
Alena Líšková Slovakia
Lorraine M. Deck United States
Rongsheng Tong China
Chenglong Li United States
Huiqing Yuan China
Elaine Lai‐Han Leung Macao
Sushil Kumar India
Jung‐Hyun Shim South Korea
Hai‐Shu Lin Singapore
Guo‐Bo Li relative to Vincent Kam Wai Wong Macao Vincent Kam Wai Wong's profile →
Citations per field
00.5×4.6×
Vincent Kam Wai Wong · 1×
Citations per year

Countries citing papers authored by Guo‐Bo Li

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Bo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013141
2 201896
3 202093
4 202182
5 201566
6 201364
7 201761
8 201661
9 201660
10 201854
11 202153
12 201848
13 201847
14 201947
15 202043
16 202043
17 201542
18 202141
19 201741
20 202339

About Guo‐Bo Li

Guo‐Bo Li is a scholar working on Molecular Biology, Organic Chemistry, Epidemiology, Molecular Medicine and Oncology, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Computational Drug Discovery Methods (16 papers), Pneumocystis jirovecii pneumonia detection and treatment (11 papers), Sirtuins and Resveratrol in Medicine (10 papers), Chemical Synthesis and Analysis (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Synthesis and biological activity (8 papers) and Tryptophan and brain disorders (6 papers). The work is most often cited by research in Molecular Medicine (330 citations), Geriatrics and Gerontology (218 citations), Physiology (107 citations), Organic Chemistry (639 citations) and Biological Psychiatry (54 citations). Guo‐Bo Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lingling Yang, Shengyong Yang, Linli Li, Yu‐Hang Yan, Qing-Qing Dai, Yong Wu, Junlin Yu, Wenjing Wang, Zhujun Yu and Gen Li. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, RSC Advances and Journal of Chemical Information and Modeling.

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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