Jun Dai
Impact in
-
- Circadian rhythm and melatonin
- Cell Biology top 1%
- Microtubule and mitosis dynamics
- Cellular transport and secretion
Papers in
-
- Circadian rhythm and melatonin 10
- Cell Biology 10
- Microtubule and mitosis dynamics 8
- Cellular transport and secretion 3
- Co-authors
- Jonathan M.G. HigginsStephen S. TaylorSteven M. HillLin YuanBeth A. SullivanP. Todd StukenbergBudhaditya BanerjeeJohn R. Daum
- Journals
- Journal of Cellular Physiology (3 papers)Cancer Letters (3 papers)Journal of Pineal Research (2 papers)International Journal of Molecular Sciences (2 papers)Developmental Cell (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Jun Dai
25 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 95
- Endocrine and Autonomic Systems 399
- Cell Biology 790
- Molecular Biology 1.2k
- Aging 27
- Plant Science 312
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Dai. The network helps show where Jun Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2017 | 19 | |
| 4 | 2017 | 35 | |
| 5 | 2017 | 21 | |
| 6 | 2014 | 52 | |
| 7 | 2013 | 28 | |
| 8 | 2010 | 374 | |
| 9 | 2010 | 21 | |
| 10 | 2009 | 41 | |
| 11 | 2006 | 180 | |
| 12 | 2005 | 53 | |
| 13 | 2005 | 21 | |
| 14 | 2005 | 287 | |
| 15 | 2004 | 93 | |
| 16 | 2002 | 66 | |
| 17 | 2002 | 126 | |
| 18 | 2002 | 120 | |
| 19 | 2001 | 29 | |
| 20 | 2000 | 41 |
About Jun Dai
Jun Dai is a scholar working on Endocrine and Autonomic Systems, Cell Biology, Aging, Dermatology and Genetics, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (10 papers), Microtubule and mitosis dynamics (8 papers), Estrogen and related hormone effects (8 papers), Genomics and Chromatin Dynamics (6 papers), Cellular transport and secretion (3 papers), Retinoids in leukemia and cellular processes (3 papers), Ubiquitin and proteasome pathways (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (399 citations), Cell Biology (790 citations), Molecular Biology (1.2k citations), Aging (27 citations) and Plant Science (312 citations). Jun Dai has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jonathan M.G. Higgins, Stephen S. Taylor, Steven M. Hill, Lin Yuan, Beth A. Sullivan, P. Todd Stukenberg, Budhaditya Banerjee, John R. Daum, Gary J. Gorbsky and E. Niedzialkowska. Their work appears in journals such as Journal of Cellular Physiology, Cancer Letters, Journal of Pineal Research, International Journal of Molecular Sciences and Developmental Cell.
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.