Runan Yang
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Physiology 14
- Adenosine and Purinergic Signaling 14
- Pain Mechanisms and Treatments 8
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- Pharmacological Receptor Mechanisms and Effects 4
- Co-authors
- Shangdong Liang (23 shared papers)Shuangmei Liu (18 shared papers)Lin Li (10 shared papers)Lifang Zou (12 shared papers)Guilin Li (12 shared papers)Shunhua Li (4 shared papers)Yuting Zou (5 shared papers)Liran Shi (9 shared papers)
- Journals
- ACS Chemical Neuroscience (4 papers)Cell Biology International (2 papers)Molecular Neurobiology (2 papers)Protein & Cell (1 paper)Stem Cell Research (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Runan Yang
33 papers receiving 458 citations
Peers
Comparison fields: 5 of 94
- Physiology 110
- Biological Psychiatry 50
- Neurology 53
- Physiology 159
- Pharmacology 47
Countries citing papers authored by Runan Yang
This map shows the geographic impact of Runan Yang'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 Runan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runan Yang more than expected).
Fields of papers citing papers by Runan Yang
This network shows the impact of papers produced by Runan Yang. 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 Runan Yang. The network helps show where Runan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Runan Yang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 48 | |
| 2 | 2018 | 39 | |
| 3 | 2023 | 34 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2022 | 25 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 20 | |
| 11 | 2019 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2020 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2023 | 6 |
About Runan Yang
Runan Yang is a scholar working on Physiology, Molecular Biology, Physiology, Cancer Research and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 459 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (14 papers), Pain Mechanisms and Treatments (8 papers), Cancer-related molecular mechanisms research (5 papers), Pharmacological Receptor Mechanisms and Effects (4 papers), Nerve injury and regeneration (3 papers), Botulinum Toxin and Related Neurological Disorders (3 papers), Tryptophan and brain disorders (3 papers) and Sirtuins and Resveratrol in Medicine (3 papers). The work is most often cited by research in Physiology (110 citations), Biological Psychiatry (50 citations), Neurology (53 citations), Physiology (159 citations) and Pharmacology (47 citations). Runan Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Shangdong Liang, Shuangmei Liu, Lin Li, Lifang Zou, Guilin Li, Shunhua Li, Yuting Zou, Liran Shi, Changshui Xu and Lin Li. Their work appears in journals such as ACS Chemical Neuroscience, Cell Biology International, Molecular Neurobiology, Protein & Cell and Stem Cell Research.
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.