Jia‐Da Li

5.2k citations
138 papers · 3.2k · h-index 29

Impact in

Papers in

Jia‐Da Li

127 papers receiving 3.2k citations

Peers

Jia‐Da Li
Comparison fields: 5 of 138
  • Endocrine and Autonomic Systems 589
  • Reproductive Medicine 595
  • Developmental Neuroscience 151
  • Cellular and Molecular Neuroscience 591
  • Sensory Systems 120
Replace Roberto Maggi with:
Roberto Maggi Italy
Koh Shinoda Japan
Zsolt Csaba France
Y. Peng Loh United States
Takashi Higuchi Japan
Lan Bao China
Nadia Soussi‐Yanicostas France
Lingzhi Fan China
György Sétáló Hungary
Hitoshi Kawano Japan
Jia‐Da Li relative to Roberto Maggi Italy Roberto Maggi's profile →
Citations per field
00.5×2×4×6×8.8×
Roberto Maggi · 1×
Citations per year

Countries citing papers authored by Jia‐Da Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jia‐Da Li Line = papers co-authored together Jia‐Da Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 2007220
3 2019169
4 2006140
5 2008110
6 2016105
7 200486
8 200772
9 201266
10 201865
11 201959
12 201458
13 201557
14 201554
15 200648
16 202044
17 201342
18 200839
19 200139
20 201937

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 138 papers that have together received 3.2k 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 (589 citations), Reproductive Medicine (595 citations), Developmental Neuroscience (151 citations), Cellular and Molecular Neuroscience (591 citations) and Sensory Systems (120 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, Jiaming Zhang, Xiaoping Li, Kwan Ng, Frances M. Leslie and Kun Xia. Their work appears in journals such as Gene, Scientific Reports, Biochemical and Biophysical Research Communications, PLoS ONE and Journal of Biological Chemistry.

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.

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