Yumin Dai
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 2%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Phytochemical compounds biological activities 3
- Natural product bioactivities and synthesis 3
- Co-authors
- Jan Karlseder (1 shared paper)Dominique Broccoli (1 shared paper)Titia de Lange (1 shared paper)Stephen Hardy (1 shared paper)Shelly Hogan (2 shared papers)Kequan Zhou (2 shared papers)Jianrong Li (1 shared paper)Yong‐Woo Lee (1 shared paper)
- Journals
- Journal of Natural Products (4 papers)Journal of Medicinal Chemistry (3 papers)ChemBioChem (2 papers)Blood (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yumin Dai
34 papers receiving 1.6k citations
Yumin Dai's Hit Papers
Peers
Comparison fields: 5 of 107
- Aging 127
- Physiology 701
- Horticulture 19
- Biochemistry 95
- Molecular Biology 904
Countries citing papers authored by Yumin Dai
This map shows the geographic impact of Yumin 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 Yumin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yumin Dai more than expected).
Fields of papers citing papers by Yumin Dai
This network shows the impact of papers produced by Yumin 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 Yumin Dai. The network helps show where Yumin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yumin 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | p53- and ATM-Dependent Apoptosis Induced by Telomeres Lacking TRF2 Hit paper breakdown → | 1999 | 866 |
| 2 | 2013 | 124 | |
| 3 | 2009 | 118 | |
| 4 | 2022 | 83 | |
| 5 | 2011 | 82 | |
| 6 | 2017 | 64 | |
| 7 | 2013 | 31 | |
| 8 | 2020 | 31 | |
| 9 | 2013 | 30 | |
| 10 | 2018 | 27 | |
| 11 | 2016 | 24 | |
| 12 | 2012 | 20 | |
| 13 | 2016 | 20 | |
| 14 | 2018 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2017 | 17 | |
| 17 | 2018 | 16 | |
| 18 | 2011 | 15 | |
| 19 | 2016 | 13 | |
| 20 | 2013 | 8 |
About Yumin Dai
Yumin Dai is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Biochemistry and Pathology and Forensic Medicine, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (5 papers), Traditional and Medicinal Uses of Annonaceae (4 papers), Sesquiterpenes and Asteraceae Studies (3 papers), Multiple Myeloma Research and Treatments (3 papers), Phytochemical compounds biological activities (3 papers), Natural product bioactivities and synthesis (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Aging (127 citations), Physiology (701 citations), Horticulture (19 citations), Biochemistry (95 citations) and Molecular Biology (904 citations). Yumin Dai has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Jan Karlseder, Dominique Broccoli, Titia de Lange, Stephen Hardy, Shelly Hogan, Kequan Zhou, Jianrong Li, Yong‐Woo Lee, Lei Zhang and Webster L. Santos. Their work appears in journals such as Journal of Natural Products, Journal of Medicinal Chemistry, ChemBioChem, Blood and Biochemistry.
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.