Yao Yan
Impact in
- Health Informatics top 10%
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neurobiology and Insect Physiology Research 2
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- Retinal Development and Disorders 3
- Co-authors
- Anita E. Hendrickson (5 shared papers)J. F. M. van Brederode (2 shared papers)Justin Guinney (3 shared papers)Zhiyu Wan (1 shared paper)Bradley Malin (1 shared paper)Chao Yan (1 shared paper)Sean D. Mooney (2 shared papers)Larsson Omberg (1 shared paper)
- Journals
- Experimental Eye Research (1 paper)Journal of Clinical Oncology (1 paper)The Journal of Comparative Neurology (1 paper)Journal of Neurocytology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChinaIndonesia
In The Last Decade
Yao Yan
11 papers receiving 326 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 20
- Developmental Neuroscience 31
- Cellular and Molecular Neuroscience 122
- Neurology 38
- Ophthalmology 28
Countries citing papers authored by Yao Yan
This map shows the geographic impact of Yao 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 Yao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Yan more than expected).
Fields of papers citing papers by Yao Yan
This network shows the impact of papers produced by Yao 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 Yao Yan. The network helps show where Yao Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yao 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 73 | |
| 2 | 1995 | 59 | |
| 3 | 2022 | 56 | |
| 4 | 1995 | 39 | |
| 5 | 1996 | 38 | |
| 6 | 2007 | 30 | |
| 7 | 2011 | 14 | |
| 8 | 2019 | 11 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 3 | |
| 11 | 1996 | 1 |
About Yao Yan
Yao Yan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Artificial Intelligence, Health Information Management and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 328 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Retinal Development and Disorders (3 papers), Digital Imaging for Blood Diseases (2 papers), Artificial Intelligence in Healthcare (2 papers), Retinal Imaging and Analysis (2 papers), Electronic Health Records Systems (2 papers), Machine Learning in Healthcare (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Health Informatics (20 citations), Developmental Neuroscience (31 citations), Cellular and Molecular Neuroscience (122 citations), Neurology (38 citations) and Ophthalmology (28 citations). Yao Yan has collaborated with scholars based in United States, China and Indonesia. Frequent co-authors include Anita E. Hendrickson, J. F. M. van Brederode, Justin Guinney, Zhiyu Wan, Bradley Malin, Chao Yan, Sean D. Mooney, Larsson Omberg, Daniel E. Possin and David V. Pow. Their work appears in journals such as Experimental Eye Research, Journal of Clinical Oncology, The Journal of Comparative Neurology, Journal of Neurocytology 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.