Yiyun Huang
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Physiology top 1%
- Cognitive Neuroscience top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Co-authors
- Richard E. CarsonNabeel NabulsiShu-fei LinJim RopchanDavid MatuskeyMika NaganawaMing‐Qiang ZhengSjoerd J. Finnema
- Topics
- Neuroscience and Neuropharmacology Research (77 papers)Medical Imaging Techniques and Applications (54 papers)Receptor Mechanisms and Signaling (53 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yiyun Huang
264 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Cellular and Molecular Neuroscience 3.1k
- Molecular Biology 2.0k
- Physiology 1.4k
- Cognitive Neuroscience 1.4k
- Radiology, Nuclear Medicine and Imaging 1.3k
Countries citing papers authored by Yiyun Huang
This map shows the geographic impact of Yiyun Huang'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 Yiyun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiyun Huang more than expected).
Fields of papers citing papers by Yiyun Huang
This network shows the impact of papers produced by Yiyun Huang. 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 Yiyun Huang. The network helps show where Yiyun Huang may publish in the future.
Co-authorship network of co-authors of Yiyun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yiyun Huang. A scholar is included among the top collaborators of Yiyun Huang 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 Yiyun Huang. Yiyun Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 12 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 36 | |
| 14 | 6 | |
| 15 | 9 | |
| 16 | 72 | |
| 17 | 40 | |
| 18 | 26 | |
| 19 | 6 | |
| 20 | 225 |
About Yiyun Huang
Yiyun Huang is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Behavioral Neuroscience, having authored 275 papers that have together received 7.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (77 papers), Medical Imaging Techniques and Applications (54 papers) and Receptor Mechanisms and Signaling (53 papers). The work is most often cited by research in Biological Psychiatry (662 citations), Cellular and Molecular Neuroscience (3.1k citations) and Behavioral Neuroscience (335 citations). Yiyun Huang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Richard E. Carson, Nabeel Nabulsi, Shu-fei Lin, Jim Ropchan, David Matuskey, Mika Naganawa, Ming‐Qiang Zheng, Sjoerd J. Finnema, David Labaree and Jonas Hannestad. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.