Ruiqian Wan
- Aging top 0.5%
- Biological Psychiatry top 2%
- Physiology top 0.5%
- Adipose Tissue and Metabolism 10
- Dietary Effects on Health 8
- Biochemical effects in animals 6
- Diet and metabolism studies 5
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol 11
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- Neuroscience and Neuropharmacology Research 7
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- Neuroinflammation and Neurodegeneration Mechanisms 7
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- Memory and Neural Mechanisms 5
- Co-authors
- Mark P. MattsonAiwu ChengSimonetta CamandolaEitan OkunKathleen J. GriffioenXin OuyangMohamed R. MughalMark I. Talan
- Cited by
- AgingBiological PsychiatryPhysiology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Circulation (1 paper)Nature Communications (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Ruiqian Wan
42 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 110
- Aging 379
- Biological Psychiatry 236
- Physiology 2.2k
- Endocrine and Autonomic Systems 559
- Behavioral Neuroscience 288
Countries citing papers authored by Ruiqian Wan
This map shows the geographic impact of Ruiqian Wan'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 Ruiqian Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiqian Wan more than expected).
Fields of papers citing papers by Ruiqian Wan
This network shows the impact of papers produced by Ruiqian Wan. 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 Ruiqian Wan. The network helps show where Ruiqian Wan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruiqian Wan, 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 | 2022 | 7 | |
| 2 | 2019 | 130 | |
| 3 | 2019 | 64 | |
| 4 | 2013 | 58 | |
| 5 | 2013 | 40 | |
| 6 | 2012 | 332 | |
| 7 | 2012 | 54 | |
| 8 | 2012 | 138 | |
| 9 | 2012 | 27 | |
| 10 | 2012 | 283 | |
| 11 | 2009 | 101 | |
| 12 | 2009 | 222 | |
| 13 | 2008 | 18 | |
| 14 | 2007 | 67 | |
| 15 | 1998 | 19 | |
| 16 | 1996 | 86 | |
| 17 | 1995 | 19 | |
| 18 | 1994 | 111 | |
| 19 | 1992 | 6 | |
| 20 | 1990 | 14 |
About Ruiqian Wan
Ruiqian Wan is a scholar working on Behavioral Neuroscience, Aging and Endocrine and Autonomic Systems, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (11 papers), Adipose Tissue and Metabolism (10 papers), Dietary Effects on Health (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Biochemical effects in animals (6 papers), Diet and metabolism studies (5 papers) and Memory and Neural Mechanisms (5 papers). The work is most often cited by research in Aging (379 citations), Biological Psychiatry (236 citations) and Physiology (2.2k citations). Ruiqian Wan has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Mark P. Mattson, Aiwu Cheng, Simonetta Camandola, Eitan Okun, Kathleen J. Griffioen, Xin Ouyang, Mohamed R. Mughal, Mark I. Talan, Ismayil Ahmet and David S. Olton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation 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.