Jun Yan
Impact in
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- Circadian rhythm and melatonin
- Aging top 2%
Papers in
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- Circadian rhythm and melatonin 16
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- Plant Molecular Biology Research 10
- Co-authors
- Haifang Wang (16 shared papers)SH Hendry (1 shared paper)E.G. Jones (1 shared paper)H. D. Schwark (1 shared paper)Chunxuan Shao (5 shared papers)Brian M. Barnes (9 shared papers)Yuting Liu (2 shared papers)Yichi Xu (9 shared papers)
- Journals
- BMC Genomics (8 papers)PLoS ONE (5 papers)Neuron (5 papers)Scientific Reports (5 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Yan
128 papers receiving 4.4k citations
Jun Yan's Hit Papers
Peers
Comparison fields: 5 of 161
- Endocrine and Autonomic Systems 725
- Aging 137
- Cellular and Molecular Neuroscience 645
- Cognitive Neuroscience 578
- Developmental Neuroscience 100
Countries citing papers authored by Jun Yan
This map shows the geographic impact of Jun 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 Jun Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yan more than expected).
Fields of papers citing papers by Jun Yan
This network shows the impact of papers produced by Jun 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 Jun Yan. The network helps show where Jun Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 498 | |
| 2 | 2008 | 248 | |
| 3 | 2020 | 226 | |
| 4 | A tera–electron volt afterglow from a narrow jet in an extremely bright gamma-ray burst Hit paper breakdown → | 2023 | 150 |
| 5 | 2022 | 150 | |
| 6 | 2013 | 146 | |
| 7 | 2021 | 140 | |
| 8 | 2007 | 134 | |
| 9 | 2015 | 95 | |
| 10 | 2011 | 94 | |
| 11 | 2016 | 94 | |
| 12 | 2023 | 92 | |
| 13 | 2012 | 86 | |
| 14 | 2009 | 82 | |
| 15 | 2020 | 78 | |
| 16 | 2018 | 78 | |
| 17 | 2020 | 74 | |
| 18 | 2014 | 73 | |
| 19 | 2016 | 67 | |
| 20 | 2006 | 66 |
About Jun Yan
Jun Yan is a scholar working on Endocrine and Autonomic Systems, Plant Science, Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 141 papers that have together received 4.5k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (16 papers), Plant Molecular Biology Research (10 papers), Astrophysics and Cosmic Phenomena (10 papers), Adipose Tissue and Metabolism (10 papers), Gamma-ray bursts and supernovae (8 papers), RNA Research and Splicing (8 papers), Bat Biology and Ecology Studies (7 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (725 citations), Aging (137 citations), Cellular and Molecular Neuroscience (645 citations), Cognitive Neuroscience (578 citations) and Developmental Neuroscience (100 citations). Jun Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haifang Wang, SH Hendry, E.G. Jones, H. D. Schwark, Chunxuan Shao, Brian M. Barnes, Yuting Liu, Yichi Xu, Gang Wang and Meng Liang Zhao. Their work appears in journals such as BMC Genomics, PLoS ONE, Neuron, Scientific Reports and International Journal of Molecular Sciences.
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.