Congwei Gu
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Gut microbiota and health 5
- Epidemiology 13
- Autophagy in Disease and Therapy 4
- Herpesvirus Infections and Treatments 3
- Co-authors
- Wudian Xiao (18 shared papers)Lvqin He (21 shared papers)Qian Yang (10 shared papers)Zehui Yu (15 shared papers)Shumin Yu (6 shared papers)Liuhong Shen (6 shared papers)Lirit N. Franks (1 shared paper)Lisa K. Brents (1 shared paper)
- 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
31 papers receiving 313 citations
Peers
Comparison fields: 5 of 79
- Toxicology 17
- Aging 8
- Virology 18
- Biological Psychiatry 9
- Pharmacology 47
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 | 40 | |
| 2 | 2024 | 27 | |
| 3 | 2015 | 24 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 20 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 12 | |
| 10 | 2020 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2022 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2023 | 6 |
About Congwei Gu
Congwei Gu is a scholar working on Molecular Biology, Epidemiology, Physiology, Genetics and Microbiology, having authored 34 papers that have together received 317 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Microbial infections and disease research (5 papers), Gut microbiota and health (5 papers), Plant Virus Research Studies (4 papers), Autophagy in Disease and Therapy (4 papers), Aquaculture disease management and microbiota (4 papers), Diet and metabolism studies (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Toxicology (17 citations), Aging (8 citations), Virology (18 citations), Biological Psychiatry (9 citations) and Pharmacology (47 citations). Congwei Gu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wudian Xiao, Lvqin He, Qian Yang, Zehui Yu, Shumin Yu, Liuhong Shen, Lirit N. Franks, Lisa K. Brents, Paul L. Prather and Suizhong Cao. 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.