Wang Gan
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Advanced biosensing and bioanalysis techniques
- DNA and Nucleic Acid Chemistry
- RNA Interference and Gene Delivery
- Gut microbiota and health
Papers in ⓘ
-
- Antimicrobial Peptides and Activities 5
- Co-authors
- Peter M. Glazer (2 shared papers)Michael M. Seidman (1 shared paper)Ren Lai (20 shared papers)Zhiye Zhang (8 shared papers)James Mwangi (7 shared papers)Min Yang (2 shared papers)Ya Li (1 shared paper)Shu Zhu (3 shared papers)
- Journals
- Nature Communications (3 papers)Blood (3 papers)Toxins (3 papers)Chinese Journal of Natural Medicines (2 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wang Gan
73 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Microbiology 201
- Molecular Biology 957
- Hematology 130
- Molecular Medicine 56
- Biological Psychiatry 27
Countries citing papers authored by Wang Gan
This map shows the geographic impact of Wang Gan'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 Wang Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Gan more than expected).
Fields of papers citing papers by Wang Gan
This network shows the impact of papers produced by Wang Gan. 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 Wang Gan. The network helps show where Wang Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang Gan, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 261 | |
| 2 | 2019 | 227 | |
| 3 | 2019 | 153 | |
| 4 | Dubosiella newyorkensis modulates immune tolerance in colitis via the L-lysine-activated AhR-IDO1-Kyn pathway Hit paper breakdown → | 2024 | 137 |
| 5 | 2012 | 65 | |
| 6 | 2019 | 63 | |
| 7 | 2007 | 51 | |
| 8 | 2018 | 50 | |
| 9 | 2011 | 43 | |
| 10 | 2021 | 42 | |
| 11 | 2022 | 36 | |
| 12 | 2020 | 33 | |
| 13 | 2017 | 30 | |
| 14 | 2022 | 29 | |
| 15 | 2021 | 29 | |
| 16 | 2022 | 24 | |
| 17 | 2013 | 24 | |
| 18 | 2019 | 21 | |
| 19 | 2023 | 20 | |
| 20 | 2016 | 20 |
About Wang Gan
Wang Gan is a scholar working on Microbiology, Biological Psychiatry, Energy Engineering and Power Technology, Software and Molecular Biology, having authored 78 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (5 papers), Microgrid Control and Optimization (4 papers), DNA Repair Mechanisms (4 papers), Healthcare and Venom Research (4 papers), Gut microbiota and health (4 papers), Venomous Animal Envenomation and Studies (4 papers), Antimicrobial agents and applications (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Microbiology (201 citations), Molecular Biology (957 citations), Hematology (130 citations), Molecular Medicine (56 citations) and Biological Psychiatry (27 citations). Wang Gan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Peter M. Glazer, Michael M. Seidman, Ren Lai, Zhiye Zhang, James Mwangi, Min Yang, Ya Li, Shu Zhu, Yan Guo and Hao Chen. Their work appears in journals such as Nature Communications, Blood, Toxins, Chinese Journal of Natural Medicines and Cancer Research.
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.