Congwei Gu
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
-
- Poxvirus research and outbreaks
Papers in
-
- Microbial infections and disease research 6
- Epidemiology 13
- Autophagy in Disease and Therapy 4
- Co-authors
- Manli He (20 shared papers)Lvqin He (22 shared papers)Wudian Xiao (18 shared papers)Shumin Yu (6 shared papers)Qian Yang (10 shared papers)Liuhong Shen (6 shared papers)Zehui Yu (16 shared papers)Suizhong Cao (6 shared papers)
- Journals
- Microbial Pathogenesis (5 papers)Frontiers in Microbiology (4 papers)Scientific Reports (2 papers)Current Research in Food Science (2 papers)Computational and Structural Biotechnology Journal (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Congwei Gu
32 papers receiving 342 citations
Peers
Comparison fields: 5 of 80
- Toxicology 18
- Virology 21
- Aging 8
- Biological Psychiatry 10
- Pharmacology 49
Countries citing papers authored by Congwei Gu
This map shows the geographic impact of Congwei 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 Congwei Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congwei Gu more than expected).
Fields of papers citing papers by Congwei Gu
This network shows the impact of papers produced by Congwei 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 Congwei Gu. The network helps show where Congwei Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Congwei 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 43 | |
| 2 | 2024 | 34 | |
| 3 | 2022 | 24 | |
| 4 | 2021 | 24 | |
| 5 | 2015 | 24 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2024 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 6 |
About Congwei Gu
Congwei Gu is a scholar working on Microbiology, Epidemiology, Genetics, Physiology and Virology, having authored 34 papers that have together received 346 indexed citations. Recurring topics across this work include Microbial infections and disease research (6 papers), Mesenchymal stem cell research (6 papers), Aquaculture disease management and microbiota (5 papers), Gut microbiota and health (5 papers), Plant Virus Research Studies (4 papers), Autophagy in Disease and Therapy (4 papers), Bacteriophages and microbial interactions (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Toxicology (18 citations), Virology (21 citations), Aging (8 citations), Biological Psychiatry (10 citations) and Pharmacology (49 citations). Congwei Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Manli He, Lvqin He, Wudian Xiao, Shumin Yu, Qian Yang, Liuhong Shen, Zehui Yu, Suizhong Cao, William E. Fantegrossi and Weiyao Li. Their work appears in journals such as Microbial Pathogenesis, Frontiers in Microbiology, Scientific Reports, Current Research in Food Science and Computational and Structural Biotechnology Journal.
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.