Wu Gan
Impact in
- Aquatic Science top 10%
- Aquaculture Nutrition and Growth
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
Papers in
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 4
- Co-authors
- Zhaoyang Ding (5 shared papers)Xilin Dou (2 shared papers)Jing Xie (3 shared papers)Hualiang Lin (7 shared papers)Chongjian Wang (5 shared papers)Xiaoyu Du (1 shared paper)Xiaojie Wang (3 shared papers)Jing Xie (1 shared paper)
- Journals
- Food Chemistry (2 papers)Frontiers in Genetics (2 papers)PeerJ (1 paper)International Journal of Food Microbiology (1 paper)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Wu Gan
34 papers receiving 370 citations
Peers
Comparison fields: 5 of 89
- Aquatic Science 27
- Health, Toxicology and Mutagenesis 50
- Animal Science and Zoology 36
- Physiology 11
- Immunology 39
Countries citing papers authored by Wu Gan
This map shows the geographic impact of Wu 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 Wu Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Gan more than expected).
Fields of papers citing papers by Wu Gan
This network shows the impact of papers produced by Wu 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 Wu Gan. The network helps show where Wu Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 44 | |
| 2 | 2022 | 43 | |
| 3 | 2023 | 43 | |
| 4 | 2022 | 37 | |
| 5 | 2023 | 28 | |
| 6 | 2021 | 25 | |
| 7 | 2023 | 25 | |
| 8 | 2020 | 23 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 8 | |
| 12 | 2020 | 8 | |
| 13 | Non-isolated High Step-up DC-DC Converters Adopting Switched-capacitor Cell | 2015 | 7 |
| 14 | 2023 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2020 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2020 | 4 |
About Wu Gan
Wu Gan is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Electrical and Electronic Engineering and Biomedical Engineering, having authored 37 papers that have together received 374 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Piezoelectric Actuators and Control (3 papers), Climate Change and Health Impacts (3 papers), Meat and Animal Product Quality (3 papers), Aquaculture disease management and microbiota (3 papers) and Aquaculture Nutrition and Growth (2 papers). The work is most often cited by research in Aquatic Science (27 citations), Health, Toxicology and Mutagenesis (50 citations), Animal Science and Zoology (36 citations), Physiology (11 citations) and Immunology (39 citations). Wu Gan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhaoyang Ding, Xilin Dou, Jing Xie, Hualiang Lin, Chongjian Wang, Xiaoyu Du, Xiaojie Wang, Jing Xie, Hongtao Zou and Huijie Yu. Their work appears in journals such as Food Chemistry, Frontiers in Genetics, PeerJ, International Journal of Food Microbiology and American Journal of Clinical Nutrition.
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.