Shikai Yan
- Molecular Biology
- Physiology top 10%
- Biological Psychiatry top 5%
- Nutrition and Dietetics top 10%
- Neurology top 10%
- Co-authors
- Xuebo LiuZhigang LiuWeidong ZhangJiaojiao ZhengChunxia XiaoShuhan ZhangJunru PanXiaoshuang Dai
- Topics
- Metabolomics and Mass Spectrometry Studies (4 papers)Gut microbiota and health (4 papers)Medicinal Plants and Neuroprotection (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaCell MetabolismJournal of Agricultural and Food Chemistry
- Partner nations
- ChinaUnited StatesDenmark
In The Last Decade
Shikai Yan
19 papers receiving 758 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 425
- Physiology 189
- Biological Psychiatry 117
- Nutrition and Dietetics 93
- Neurology 68
Countries citing papers authored by Shikai Yan
This map shows the geographic impact of Shikai 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 Shikai Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikai Yan more than expected).
Fields of papers citing papers by Shikai Yan
This network shows the impact of papers produced by Shikai 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 Shikai Yan. The network helps show where Shikai Yan may publish in the future.
Co-authorship network of co-authors of Shikai Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Shikai Yan. A scholar is included among the top collaborators of Shikai Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shikai Yan. Shikai Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | High-fiber diet mitigates maternal obesity-induced cognitive and social dysfunction in the offspring via gut-brain axisbreakdown → | 198 |
| 7 | 87 | |
| 8 | 59 | |
| 9 | 54 | |
| 10 | 45 | |
| 11 | 62 | |
| 12 | 97 | |
| 13 | 44 | |
| 14 | 12 | |
| 15 | 31 | |
| 16 | 20 | |
| 17 | 14 | |
| 18 | 7 | |
| 19 | 6 | |
| 20 | 1 |
About Shikai Yan
Shikai Yan is a scholar working on Biological Psychiatry, Complementary and Manual Therapy and Complementary and alternative medicine, having authored 20 papers that have together received 765 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (4 papers), Gut microbiota and health (4 papers) and Medicinal Plants and Neuroprotection (2 papers). The work is most often cited by research in Biological Psychiatry (117 citations), Neurology (68 citations) and Behavioral Neuroscience (27 citations). Shikai Yan has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Xuebo Liu, Zhigang Liu, Weidong Zhang, Jiaojiao Zheng, Chunxia Xiao, Shuhan Zhang, Junru Pan, Xiaoshuang Dai, Hongbo Zhang and Shaobo Ma. Their work appears in journals such as SHILAP Revista de lepidopterología, Cell Metabolism and Journal of Agricultural and Food Chemistry.
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.