Li Gu

3.1k citations
99 papers · 2.1k indexed · 1 hit paper · h-index 23

Impact in

    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

Li Gu

97 papers receiving 2.0k citations

Hit Papers

Clinical Features of the Initial Cases of 2009 Pandemic Influenza A (H1N1) Virus Infection in China 2009 · 457 citations
4572009202620142020100200300400

Peers

Li Gu
Comparison fields: 5 of 122
  • Microbiology 47
  • Infectious Diseases 604
  • Epidemiology 1.1k
  • Microbiology 132
  • Modeling and Simulation 89
Replace Scott E. Evans with:
Scott E. Evans United States
Vishwanath Venketaraman United States
Yi Shi China
Min Xu China
Yaokai Chen China
Shigeki Nakamura Japan
Ting Zhang China
Yimin Zhu China
Aruna Subramanian United States
Pinhua Pan China
Li Gu relative to Scott E. Evans United States Scott E. Evans's profile →
Citations per field
00.5×8.1×
Scott E. Evans · 1×
Citations per year

Countries citing papers authored by Li Gu

Since Specialization
Citations

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

Fields of papers citing papers by Li Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20258
4 20242
5 20249
6 20242
7 20238
8 20237
9 20237
10 20230
11 20236
12 20228
13 202147
14 20215
15 201914
16 201931
17 201833
18 201841
19 201318
20 201312

About Li Gu

Li Gu is a scholar working on Microbiology, Applied Microbiology and Biotechnology, Infectious Diseases, Epidemiology and Microbiology, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (25 papers), Pneumonia and Respiratory Infections (14 papers), Neuroscience and Neuropharmacology Research (12 papers), Influenza Virus Research Studies (11 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Actinomycetales infections and treatment (7 papers) and Infectious Diseases and Mycology (6 papers). The work is most often cited by research in Microbiology (47 citations), Infectious Diseases (604 citations), Epidemiology (1.1k citations), Microbiology (132 citations) and Modeling and Simulation (89 citations). Li Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Cao, Xingwang Li, Lirong Liang, Jiuxin Qu, Hong Zhang, Hongzhou Lu, Lianhe Lu, Yusheng Chen, Bin Zhang and Yu Mao. Their work appears in journals such as Infection and Drug Resistance, BMC Infectious Diseases, Medicine, PLoS ONE and Journal of Neuroinflammation.

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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