Jia‐Da Li
Impact in
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- Circadian rhythm and melatonin
- Regulation of Appetite and Obesity
- Reproductive Medicine top 1%
- Hypothalamic control of reproductive hormones
Papers in
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- RNA regulation and disease 9
- Epigenetics and DNA Methylation 7
- Ubiquitin and proteasome pathways 6
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- Genetic Neurodegenerative Diseases 7
- Co-authors
- Qun‐Yong Zhou (13 shared papers)Wang‐Ping Hu (12 shared papers)Michelle Cheng (3 shared papers)Chengkang Zhang (5 shared papers)Alex G. Lee (2 shared papers)Xiaoping Li (1 shared paper)Jiaming Zhang (1 shared paper)Kwan Ng (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (6 papers)Gene (6 papers)Scientific Reports (6 papers)PLoS ONE (4 papers)Nature Communications (4 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jia‐Da Li
126 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 137
- Endocrine and Autonomic Systems 552
- Reproductive Medicine 566
- Developmental Neuroscience 141
- Cellular and Molecular Neuroscience 564
- Sensory Systems 116
Countries citing papers authored by Jia‐Da Li
This map shows the geographic impact of Jia‐Da Li'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 Jia‐Da Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia‐Da Li more than expected).
Fields of papers citing papers by Jia‐Da Li
This network shows the impact of papers produced by Jia‐Da Li. 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 Jia‐Da Li. The network helps show where Jia‐Da Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia‐Da Li, 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 258 | |
| 2 | 2007 | 196 | |
| 3 | 2019 | 166 | |
| 4 | 2006 | 128 | |
| 5 | 2008 | 106 | |
| 6 | 2016 | 103 | |
| 7 | 2004 | 84 | |
| 8 | 2007 | 67 | |
| 9 | 2018 | 60 | |
| 10 | 2019 | 58 | |
| 11 | 2014 | 57 | |
| 12 | 2012 | 57 | |
| 13 | 2015 | 55 | |
| 14 | 2015 | 54 | |
| 15 | 2006 | 48 | |
| 16 | 2020 | 43 | |
| 17 | 2013 | 40 | |
| 18 | 2019 | 37 | |
| 19 | 2001 | 37 | |
| 20 | 2008 | 36 |
About Jia‐Da Li
Jia‐Da Li is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Genetics and Reproductive Medicine, having authored 136 papers that have together received 3.1k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (18 papers), Hypothalamic control of reproductive hormones (15 papers), Genetics and Neurodevelopmental Disorders (13 papers), RNA regulation and disease (9 papers), Epigenetics and DNA Methylation (7 papers), Genetic Neurodegenerative Diseases (7 papers), Ubiquitin and proteasome pathways (6 papers) and Neuroendocrine regulation and behavior (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (552 citations), Reproductive Medicine (566 citations), Developmental Neuroscience (141 citations), Cellular and Molecular Neuroscience (564 citations) and Sensory Systems (116 citations). Jia‐Da Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qun‐Yong Zhou, Wang‐Ping Hu, Michelle Cheng, Chengkang Zhang, Alex G. Lee, Xiaoping Li, Jiaming Zhang, Kwan Ng, Frances M. Leslie and Kun Xia. Their work appears in journals such as Biochemical and Biophysical Research Communications, Gene, Scientific Reports, PLoS ONE 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.