Jin Wan
Impact in
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
Papers in
-
- Animal Nutrition and Physiology 9
- Meat and Animal Product Quality 4
- Immunology 10
- Aquaculture disease management and microbiota 5
- Immune Response and Inflammation 4
- Co-authors
- Jun He (19 shared papers)Daiwen Chen (17 shared papers)Bing Yu (16 shared papers)Jiao Zhang (11 shared papers)Xiangbing Mao (11 shared papers)Jie Yu (9 shared papers)Qingsong Xu (6 shared papers)Ping Zheng (9 shared papers)
- Journals
- RSC Advances (5 papers)International Immunopharmacology (2 papers)Animal Feed Science and Technology (2 papers)Food & Function (2 papers)Environmental Pollution (1 paper)
- Partner nations
- ChinaSaudi Arabia
In The Last Decade
Jin Wan
34 papers receiving 717 citations
Peers
Comparison fields: 5 of 92
- Aquatic Science 127
- Animal Science and Zoology 173
- Microbiology 46
- Nutrition and Dietetics 100
- Food Science 109
Countries citing papers authored by Jin Wan
This map shows the geographic impact of Jin Wan'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 Jin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Wan more than expected).
Fields of papers citing papers by Jin Wan
This network shows the impact of papers produced by Jin Wan. 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 Jin Wan. The network helps show where Jin Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Wan, 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 | 2017 | 86 | |
| 2 | 2018 | 56 | |
| 3 | 2018 | 53 | |
| 4 | 2017 | 48 | |
| 5 | 2016 | 43 | |
| 6 | 2021 | 40 | |
| 7 | 2015 | 39 | |
| 8 | 2019 | 36 | |
| 9 | 2018 | 31 | |
| 10 | 2022 | 31 | |
| 11 | 2016 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2016 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2021 | 22 | |
| 16 | 2016 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2015 | 17 | |
| 19 | 2018 | 14 | |
| 20 | 2021 | 9 |
About Jin Wan
Jin Wan is a scholar working on Animal Science and Zoology, Immunology, Molecular Biology, Food Science and Nutrition and Dietetics, having authored 34 papers that have together received 725 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (9 papers), Aquaculture disease management and microbiota (5 papers), Gut microbiota and health (5 papers), Probiotics and Fermented Foods (5 papers), Meat and Animal Product Quality (4 papers), Immune Response and Inflammation (4 papers), Antimicrobial Peptides and Activities (3 papers) and Barrier Structure and Function Studies (3 papers). The work is most often cited by research in Aquatic Science (127 citations), Animal Science and Zoology (173 citations), Microbiology (46 citations), Nutrition and Dietetics (100 citations) and Food Science (109 citations). Jin Wan has collaborated with scholars based in China and Saudi Arabia. Frequent co-authors include Jun He, Daiwen Chen, Bing Yu, Jiao Zhang, Xiangbing Mao, Jie Yu, Qingsong Xu, Ping Zheng, Zhiqing Huang and Fei Jiang. Their work appears in journals such as RSC Advances, International Immunopharmacology, Animal Feed Science and Technology, Food & Function and Environmental Pollution.
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.