Li Gu
Impact in
- Microbiology top 2%
- Epidemiology top 2%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Pneumonia and Respiratory Infections
Papers in
- Epidemiology 32
- Respiratory viral infections research 11
- Pneumonia and Respiratory Infections 10
- Influenza Virus Research Studies 7
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- Antimicrobial Resistance in Staphylococcus 7
- Co-authors
- Bin Cao (25 shared papers)Jiuxin Qu (11 shared papers)Lirong Liang (2 shared papers)Xingwang Li (2 shared papers)Hong Zhang (14 shared papers)Jian Wang (1 shared paper)Sujuan Zhang (1 shared paper)Bin Zhang (1 shared paper)
- Journals
- Infection and Drug Resistance (4 papers)Medicine (4 papers)BMC Infectious Diseases (4 papers)PLoS ONE (3 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Li Gu
97 papers receiving 2.1k citations
Li Gu's Hit Papers
Peers
Comparison fields: 5 of 121
- Microbiology 48
- Epidemiology 856
- Infectious Diseases 435
- Microbiology 88
- Neurology 179
Countries citing papers authored by Li Gu
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
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-authors
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.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical Features of the Initial Cases of 2009 Pandemic Influenza A (H1N1) Virus Infection in China Hit paper breakdown → | 2009 | 458 |
| 2 | 2011 | 203 | |
| 3 | 2017 | 103 | |
| 4 | 2015 | 74 | |
| 5 | 2012 | 60 | |
| 6 | 2009 | 56 | |
| 7 | 2021 | 49 | |
| 8 | 2015 | 48 | |
| 9 | 2010 | 46 | |
| 10 | 2018 | 42 | |
| 11 | 2018 | 42 | |
| 12 | 2013 | 40 | |
| 13 | 2012 | 40 | |
| 14 | 2013 | 39 | |
| 15 | 2011 | 37 | |
| 16 | 2019 | 35 | |
| 17 | 2018 | 34 | |
| 18 | 2015 | 34 | |
| 19 | 2019 | 33 | |
| 20 | 2016 | 33 |
About Li Gu
Li Gu is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 99 papers that have together received 2.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (11 papers), Pneumonia and Respiratory Infections (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Influenza Virus Research Studies (7 papers), Actinomycetales infections and treatment (7 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Microbiology (48 citations), Epidemiology (856 citations), Infectious Diseases (435 citations), Microbiology (88 citations) and Neurology (179 citations). Li Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bin Cao, Jiuxin Qu, Lirong Liang, Xingwang Li, Hong Zhang, Jian Wang, Sujuan Zhang, Bin Zhang, Chen Wang and Dayan Wang. Their work appears in journals such as Infection and Drug Resistance, Medicine, BMC Infectious Diseases, PLoS ONE and Journal of Medical Virology.
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.