Gang Li

4.1k citations
151 papers · 2.9k indexed · 1 hit paper · h-index 31

Gang Li

138 papers receiving 2.9k citations

Hit Papers

Artificial intelligence using a latent diffusion model en...2620252026510152025

Peers

Gang Li
Comparison fields: 5 of 173
  • Microbiology 58
  • Pharmacology 907
  • Biotechnology 321
  • Molecular Medicine 125
  • Endocrinology 104
Replace Christian Rückert with:
Christian Rückert Germany
Hyun Uk Kim South Korea
Michael G. Thomas United States
Haruo Ikeda Japan
Li Wan China
Vineeta Singh India
Rui Jiao China
Jung‐Hye Choi South Korea
Dhiman Sarkar India
Gang Li relative to Christian Rückert Germany Christian Rückert's profile →
Citations per field
00.5×3.2×
Christian Rückert · 1×
Citations per year

Countries citing papers authored by Gang Li

Since Specialization
Citations

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

Fields of papers citing papers by Gang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
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3 20245
4 20243
5 20241
6 20241
7 202313
8 20233
9 20227
10 20218
11 20211
12
EAG and behavioral responses of Scythropus yasumatsui (Coleoptera: Curculionidae) to volatiles from the common jujube (Zizyphus jujuba.
20204
13
Clinical distribution of enterococci infection and drug resistance
20111
14 201118
15
[Antibacterial activity determination of six kinds of natural herbs in yunnan on normal oral predominant].
20101
16
Effect of Comprehensive Psychotherapy on Psychology of Cancer Patients
20101
17
Meticillin-resistant Staphylococcus aureus in Hospital Environment:An Epidemiological Investigation
20101
18 200843
19
Study on allelopathy of several common weeds on Ligularia sagitta
20070
20
Prevalence Study of HIV High Risk Behavior Among Wuhan Men Who Have Sex with Men
20061

About Gang Li

Gang Li is a scholar working on Pharmacology, Biotechnology and Microbiology, having authored 151 papers that have together received 2.9k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (59 papers), Fungal Biology and Applications (38 papers), Marine Sponges and Natural Products (17 papers), Plant Pathogens and Fungal Diseases (11 papers), Plant biochemistry and biosynthesis (9 papers), Microbial Metabolism and Applications (7 papers), Antibiotic Resistance in Bacteria (5 papers) and Antimicrobial Resistance in Staphylococcus (5 papers). The work is most often cited by research in Microbiology (58 citations), Pharmacology (907 citations) and Biotechnology (321 citations). Gang Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hong‐Xiang Lou, Souvik Kusari, Xin Ma, Ping Ji, Xiao-Ping Peng, Wei Jia, Han Gao, Michael Spiteller, Michael Spiteller and Wen Wang. Their work appears in journals such as Journal of Natural Products, Journal of Agricultural and Food Chemistry, Marine Drugs, RSC Advances and Bioorganic Chemistry.

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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