Chong Yan
Impact in
- Neurology top 5%
- Myasthenia Gravis and Thymoma
- Peripheral Neuropathies and Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
- Toxicology top 10%
Papers in
- Neurology 37
- Myasthenia Gravis and Thymoma 35
- Peripheral Neuropathies and Disorders 8
- Parkinson's Disease and Spinal Disorders 5
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- Epigenetics and DNA Methylation 3
- Co-authors
- Chongbo Zhao (36 shared papers)Jianying Xi (31 shared papers)Jie Song (26 shared papers)Sushan Luo (29 shared papers)Hongju Liu (5 shared papers)Xiao Huan (17 shared papers)Huahua Zhong (13 shared papers)Lin Li (3 shared papers)
- Journals
- Journal of Neuroimmunology (5 papers)Therapeutic Advances in Neurological Disorders (4 papers)Clinical Immunology (4 papers)Biomedical Chromatography (3 papers)Frontiers in Neurology (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Chong Yan
66 papers receiving 932 citations
Peers
Comparison fields: 5 of 93
- Neurology 267
- Toxicology 24
- Endocrinology 27
- Neurology 36
- Pharmacology 72
Countries citing papers authored by Chong Yan
This map shows the geographic impact of Chong 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 Chong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Yan more than expected).
Fields of papers citing papers by Chong Yan
This network shows the impact of papers produced by Chong 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 Chong Yan. The network helps show where Chong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chong 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 75 | |
| 2 | 2017 | 63 | |
| 3 | 2003 | 61 | |
| 4 | 2015 | 58 | |
| 5 | 2022 | 50 | |
| 6 | 2020 | 43 | |
| 7 | 2014 | 39 | |
| 8 | 2014 | 33 | |
| 9 | 2018 | 26 | |
| 10 | 2019 | 25 | |
| 11 | 2022 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2012 | 20 | |
| 16 | 2024 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2003 | 19 | |
| 19 | 2023 | 18 | |
| 20 | 2020 | 18 |
About Chong Yan
Chong Yan is a scholar working on Neurology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Pharmacology, having authored 70 papers that have together received 945 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (35 papers), Peripheral Neuropathies and Disorders (8 papers), Microbial Natural Products and Biosynthesis (5 papers), Parkinson's Disease and Spinal Disorders (5 papers), Fungal Biology and Applications (4 papers), Cancer Treatment and Pharmacology (4 papers), Epigenetics and DNA Methylation (3 papers) and Antifungal resistance and susceptibility (3 papers). The work is most often cited by research in Neurology (267 citations), Toxicology (24 citations), Endocrinology (27 citations), Neurology (36 citations) and Pharmacology (72 citations). Chong Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chongbo Zhao, Jianying Xi, Jie Song, Sushan Luo, Hongju Liu, Xiao Huan, Huahua Zhong, Lin Li, Ellen S. Rome and Kenneth Eng. Their work appears in journals such as Journal of Neuroimmunology, Therapeutic Advances in Neurological Disorders, Clinical Immunology, Biomedical Chromatography and Frontiers in Neurology.
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.