Yan Yan
Impact in
- Inorganic Chemistry top 5%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Neuroscience and Neuropharmacology Research 8
- Neurotransmitter Receptor Influence on Behavior 4
- Co-authors
- Jiyang Li (8 shared papers)Zhiqiang Liang (5 shared papers)Junbiao Wu (3 shared papers)Betty Eipper (6 shared papers)Richard E. Mains (6 shared papers)Libo Sun (3 shared papers)Chuanqi Zhang (3 shared papers)Hakmook Kang (11 shared papers)
- Journals
- Medicine (2 papers)Molecules (2 papers)Dalton Transactions (2 papers)Chemical Communications (2 papers)BMC Complementary and Alternative Medicine (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Yan Yan
121 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 146
- Inorganic Chemistry 380
- Complementary and alternative medicine 174
- Cellular and Molecular Neuroscience 355
- Biological Psychiatry 38
- Developmental Neuroscience 60
Countries citing papers authored by Yan Yan
This map shows the geographic impact of Yan 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 Yan Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Yan more than expected).
Fields of papers citing papers by Yan Yan
This network shows the impact of papers produced by Yan 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 Yan Yan. The network helps show where Yan Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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
Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 180 | |
| 2 | 2014 | 135 | |
| 3 | 2021 | 116 | |
| 4 | 2010 | 99 | |
| 5 | 2012 | 94 | |
| 6 | 2013 | 93 | |
| 7 | 2016 | 75 | |
| 8 | 2015 | 70 | |
| 9 | 2013 | 69 | |
| 10 | 2021 | 65 | |
| 11 | 2013 | 62 | |
| 12 | 2020 | 59 | |
| 13 | 2012 | 55 | |
| 14 | 2009 | 51 | |
| 15 | 2010 | 50 | |
| 16 | 2020 | 49 | |
| 17 | 2018 | 47 | |
| 18 | 2023 | 44 | |
| 19 | 2012 | 40 | |
| 20 | 2014 | 39 |
About Yan Yan
Yan Yan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Complementary and alternative medicine, Materials Chemistry and Surgery, having authored 131 papers that have together received 2.5k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Natural Compounds in Disease Treatment (6 papers), Traditional Chinese Medicine Analysis (5 papers), Intensive Care Unit Cognitive Disorders (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers) and Molecular Sensors and Ion Detection (4 papers). The work is most often cited by research in Inorganic Chemistry (380 citations), Complementary and alternative medicine (174 citations), Cellular and Molecular Neuroscience (355 citations), Biological Psychiatry (38 citations) and Developmental Neuroscience (60 citations). Yan Yan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jiyang Li, Zhiqiang Liang, Junbiao Wu, Betty Eipper, Richard E. Mains, Libo Sun, Chuanqi Zhang, Hakmook Kang, Jihong Yu and Daniel O. Claassen. Their work appears in journals such as Medicine, Molecules, Dalton Transactions, Chemical Communications and BMC Complementary and Alternative Medicine.
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.