Huiyuan Jiang
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Neurology top 10%
- Neurology
- Cell Biology
- Co-authors
- John KamholzMichael E. ShyWenbo XuDaniela M. MenichellaSteven S. SchererJihyeung JuC S YangSrinivasa Reddy Bonam
- Topics
- Hereditary Neurological Disorders (7 papers)Nerve injury and regeneration (4 papers)Peripheral Neuropathies and Disorders (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceApplied Microbiology and BiotechnologyDevelopmental Neuroscience
- Partner nations
- United StatesChinaItaly
In The Last Decade
Huiyuan Jiang
27 papers receiving 487 citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 213
- Molecular Biology 193
- Neurology 95
- Neurology 58
- Cell Biology 55
Countries citing papers authored by Huiyuan Jiang
This map shows the geographic impact of Huiyuan Jiang'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 Huiyuan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiyuan Jiang more than expected).
Fields of papers citing papers by Huiyuan Jiang
This network shows the impact of papers produced by Huiyuan Jiang. 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 Huiyuan Jiang. The network helps show where Huiyuan Jiang may publish in the future.
Co-authorship network of co-authors of Huiyuan Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Huiyuan Jiang. A scholar is included among the top collaborators of Huiyuan Jiang 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 Huiyuan Jiang. Huiyuan Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | [Relationship of c-kit and platelet-derived growth factor receptor alpha gene mutation features with prognosis of patients with gastrointestinal stromal tumor]. | 1 |
| 12 | 11 | |
| 13 | 20 | |
| 14 | 52 | |
| 15 | 5 | |
| 16 | 17 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 49 | |
| 20 | 99 |
About Huiyuan Jiang
Huiyuan Jiang is a scholar working on Applied Microbiology and Biotechnology, Cellular and Molecular Neuroscience and Cell Biology, having authored 29 papers that have together received 497 indexed citations. Recurring topics across this work include Hereditary Neurological Disorders (7 papers), Nerve injury and regeneration (4 papers) and Peripheral Neuropathies and Disorders (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (213 citations), Applied Microbiology and Biotechnology (19 citations) and Developmental Neuroscience (33 citations). Huiyuan Jiang has collaborated with scholars based in United States, China and Italy. Frequent co-authors include John Kamholz, Michael E. Shy, Wenbo Xu, Daniela M. Menichella, Steven S. Scherer, Jihyeung Ju, C S Yang, Srinivasa Reddy Bonam, Barbara Simi and Hang Xiao. Their work appears in journals such as Neurology, Annals of the New York Academy of Sciences and Journal of Neurochemistry.
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.