Yanli Ran
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
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- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
Papers in
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- Photoreceptor and optogenetics research 6
- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 1
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- Retinal Development and Disorders 6
- Ion channel regulation and function 1
- Co-authors
- Furong Ju (3 shared papers)Thomas Euler (5 shared papers)Philipp Berens (4 shared papers)Timm Schubert (5 shared papers)Katrin Franke (3 shared papers)Shengxiang Zhang (2 shared papers)Maria M. Korympidou (2 shared papers)Deniz Dalkara (1 shared paper)
- Journals
- Nature Communications (3 papers)Frontiers in Cellular Neuroscience (2 papers)Science Advances (1 paper)The Analyst (1 paper)Journal of Cerebral Blood Flow & Metabolism (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Yanli Ran
8 papers receiving 259 citations
Peers
Comparison fields: 5 of 66
- Neurology 79
- Cellular and Molecular Neuroscience 117
- Cognitive Neuroscience 69
- Developmental Neuroscience 11
- Biological Psychiatry 6
Countries citing papers authored by Yanli Ran
This map shows the geographic impact of Yanli Ran'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 Yanli Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanli Ran more than expected).
Fields of papers citing papers by Yanli Ran
This network shows the impact of papers produced by Yanli Ran. 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 Yanli Ran. The network helps show where Yanli Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanli Ran, 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 | 2020 | 77 | |
| 2 | 2018 | 69 | |
| 3 | 2016 | 38 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 28 | |
| 6 | 2015 | 13 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 0 |
About Yanli Ran
Yanli Ran is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Immunology, having authored 9 papers that have together received 259 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (6 papers), Retinal Development and Disorders (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Ion channel regulation and function (1 paper), Neuroscience and Neural Engineering (1 paper) and Neurological Disease Mechanisms and Treatments (1 paper). The work is most often cited by research in Neurology (79 citations), Cellular and Molecular Neuroscience (117 citations), Cognitive Neuroscience (69 citations), Developmental Neuroscience (11 citations) and Biological Psychiatry (6 citations). Yanli Ran has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Furong Ju, Thomas Euler, Philipp Berens, Timm Schubert, Katrin Franke, Shengxiang Zhang, Maria M. Korympidou, Deniz Dalkara, Klaudia P. Szatko and Zhanli Yang. Their work appears in journals such as Nature Communications, Frontiers in Cellular Neuroscience, Science Advances, The Analyst and Journal of Cerebral Blood Flow & Metabolism.
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.