Chunmin Dong
Impact in
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- Circadian rhythm and melatonin
- Cell Biology top 5%
- Cellular transport and secretion
Papers in
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- Receptor Mechanisms and Signaling 16
- Protein Kinase Regulation and GTPase Signaling 5
- Lipid Membrane Structure and Behavior 3
- Cell Biology 12
- Cellular transport and secretion 12
- Co-authors
- Guangyu Wu (16 shared papers)Matthew T. Duvernay (5 shared papers)Catalin M. Filipeanu (2 shared papers)Steven M. Hill (8 shared papers)Ling Lai (7 shared papers)Cecilia G. Sánchez (3 shared papers)Nevin A. Lambert (2 shared papers)Fayong Luo (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Journal of Pineal Research (3 papers)Cellular Signalling (3 papers)Cancer Letters (2 papers)Traffic (2 papers)
- Partner nations
- United StatesChinaIreland
In The Last Decade
Chunmin Dong
34 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 103
- Endocrine and Autonomic Systems 332
- Cell Biology 363
- Cellular and Molecular Neuroscience 334
- Aging 28
- Molecular Biology 893
Countries citing papers authored by Chunmin Dong
This map shows the geographic impact of Chunmin Dong'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 Chunmin Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunmin Dong more than expected).
Fields of papers citing papers by Chunmin Dong
This network shows the impact of papers produced by Chunmin Dong. 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 Chunmin Dong. The network helps show where Chunmin Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunmin Dong, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 213 | |
| 2 | 2015 | 139 | |
| 3 | 2011 | 129 | |
| 4 | 2002 | 126 | |
| 5 | 2016 | 79 | |
| 6 | 2009 | 59 | |
| 7 | 2006 | 56 | |
| 8 | 2012 | 53 | |
| 9 | 2009 | 49 | |
| 10 | 2004 | 49 | |
| 11 | 2007 | 48 | |
| 12 | 2010 | 46 | |
| 13 | 2008 | 42 | |
| 14 | 2011 | 39 | |
| 15 | 2011 | 38 | |
| 16 | 2010 | 38 | |
| 17 | 2010 | 37 | |
| 18 | 2008 | 36 | |
| 19 | 2008 | 34 | |
| 20 | 2011 | 26 |
About Chunmin Dong
Chunmin Dong is a scholar working on Molecular Biology, Cell Biology, Genetics, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Cellular transport and secretion (12 papers), Circadian rhythm and melatonin (8 papers), Estrogen and related hormone effects (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers), Lipid Membrane Structure and Behavior (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (332 citations), Cell Biology (363 citations), Cellular and Molecular Neuroscience (334 citations), Aging (28 citations) and Molecular Biology (893 citations). Chunmin Dong has collaborated with scholars based in United States, China and Ireland. Frequent co-authors include Guangyu Wu, Matthew T. Duvernay, Catalin M. Filipeanu, Steven M. Hill, Ling Lai, Cecilia G. Sánchez, Nevin A. Lambert, Fayong Luo, Rafael Góngora and Lin Yuan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Pineal Research, Cellular Signalling, Cancer Letters and Traffic.
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.