Jingmin Yan
Impact in
- Pharmacology top 5%
- Fungal Biology and Applications
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
-
- Prion Diseases and Protein Misfolding 7
- Amyloidosis: Diagnosis, Treatment, Outcomes 6
- Epidemiology 12
- Burkholderia infections and melioidosis 11
- Co-authors
- Yifa Zhou (14 shared papers)Guihua Tai (7 shared papers)Lin Sun (4 shared papers)Mengshan Zhang (3 shared papers)Yunhe Qu (3 shared papers)Hairong Cheng (5 shared papers)Jinko Sawashita (9 shared papers)Keiichi Higuchi (9 shared papers)
- Journals
- International Journal of Biological Macromolecules (7 papers)BMC Infectious Diseases (2 papers)American Journal Of Pathology (2 papers)Tumor Biology (2 papers)Carbohydrate Polymers (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jingmin Yan
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Pharmacology 308
- Aquatic Science 132
- Plant Science 437
- Nutrition and Dietetics 145
- Food Science 170
Countries citing papers authored by Jingmin Yan
This map shows the geographic impact of Jingmin Yan'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 Jingmin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingmin Yan more than expected).
Fields of papers citing papers by Jingmin Yan
This network shows the impact of papers produced by Jingmin Yan. 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 Jingmin Yan. The network helps show where Jingmin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jingmin Yan, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 155 | |
| 2 | 2008 | 98 | |
| 3 | 2017 | 65 | |
| 4 | 2018 | 61 | |
| 5 | 2017 | 57 | |
| 6 | 2018 | 56 | |
| 7 | 2017 | 53 | |
| 8 | 2017 | 49 | |
| 9 | 2007 | 46 | |
| 10 | 2016 | 46 | |
| 11 | 2022 | 44 | |
| 12 | 2006 | 39 | |
| 13 | 2018 | 37 | |
| 14 | 2015 | 27 | |
| 15 | 2016 | 27 | |
| 16 | 2006 | 25 | |
| 17 | 2006 | 24 | |
| 18 | 2007 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2020 | 21 |
About Jingmin Yan
Jingmin Yan is a scholar working on Molecular Biology, Epidemiology, Plant Science, Pharmacology and Aquatic Science, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Polysaccharides and Plant Cell Walls (12 papers), Burkholderia infections and melioidosis (11 papers), Fungal Biology and Applications (9 papers), Prion Diseases and Protein Misfolding (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Seaweed-derived Bioactive Compounds (5 papers), Alzheimer's disease research and treatments (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Pharmacology (308 citations), Aquatic Science (132 citations), Plant Science (437 citations), Nutrition and Dietetics (145 citations) and Food Science (170 citations). Jingmin Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yifa Zhou, Guihua Tai, Lin Sun, Mengshan Zhang, Yunhe Qu, Hairong Cheng, Jinko Sawashita, Keiichi Higuchi, Masayuki Mori and Yue Meng. Their work appears in journals such as International Journal of Biological Macromolecules, BMC Infectious Diseases, American Journal Of Pathology, Tumor Biology and Carbohydrate Polymers.
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.