Jun Yan
Impact in
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
- Aging top 2%
Papers in
-
- RNA Research and Splicing 10
- RNA modifications and cancer 6
- Photosynthetic Processes and Mechanisms 6
-
- Plant Molecular Biology Research 10
- Co-authors
- Haifang Wang (15 shared papers)H. D. Schwark (1 shared paper)E.G. Jones (1 shared paper)SH Hendry (1 shared paper)Thomas G. Marr (3 shared papers)Chunxuan Shao (5 shared papers)Brian M. Barnes (9 shared papers)Yuting Liu (2 shared papers)
- Journals
- BMC Genomics (8 papers)PLoS ONE (5 papers)Scientific Reports (5 papers)Physiological Genomics (4 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Yan
115 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 151
- Endocrine and Autonomic Systems 687
- Aging 134
- Cellular and Molecular Neuroscience 539
- Developmental Neuroscience 91
- Physiology 561
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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 443 | |
| 2 | 2008 | 238 | |
| 3 | 2020 | 221 | |
| 4 | 2013 | 144 | |
| 5 | 2007 | 131 | |
| 6 | 2016 | 92 | |
| 7 | 2011 | 92 | |
| 8 | 2005 | 85 | |
| 9 | 2015 | 84 | |
| 10 | 2009 | 82 | |
| 11 | 2012 | 79 | |
| 12 | 2020 | 77 | |
| 13 | 2014 | 73 | |
| 14 | 2020 | 69 | |
| 15 | 2016 | 66 | |
| 16 | 2006 | 65 | |
| 17 | 2018 | 61 | |
| 18 | 2012 | 58 | |
| 19 | 2014 | 58 | |
| 20 | 2013 | 56 |
About Jun Yan
Jun Yan is a scholar working on Molecular Biology, Plant Science, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 121 papers that have together received 3.7k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (15 papers), Plant Molecular Biology Research (10 papers), RNA Research and Splicing (10 papers), Adipose Tissue and Metabolism (9 papers), Bat Biology and Ecology Studies (7 papers), RNA modifications and cancer (6 papers), Photosynthetic Processes and Mechanisms (6 papers) and Photoreceptor and optogenetics research (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (687 citations), Aging (134 citations), Cellular and Molecular Neuroscience (539 citations), Developmental Neuroscience (91 citations) and Physiology (561 citations). Jun Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Haifang Wang, H. D. Schwark, E.G. Jones, SH Hendry, Thomas G. Marr, Chunxuan Shao, Brian M. Barnes, Yuting Liu, Yichi Xu and Gang Wang. Their work appears in journals such as BMC Genomics, PLoS ONE, Scientific Reports, Physiological Genomics 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.