Weiwei Dang
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
Papers in
- Aging 17
- Genetics, Aging, and Longevity in Model Organisms 17
-
- Sirtuins and Resveratrol in Medicine 13
- Co-authors
- Shelley L. Berger (10 shared papers)Blaine Bartholomew (4 shared papers)F. Brad Johnson (4 shared papers)Matt R. Kaeberlein (6 shared papers)Brian Keith Kennedy (5 shared papers)Jean A. Dorsey (2 shared papers)Kristan K. Steffen (2 shared papers)Ali Shilatifard (1 shared paper)
- Journals
- The EMBO Journal (3 papers)Cell (2 papers)GeroScience (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Advances (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Weiwei Dang
47 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 111
- Aging 484
- Geriatrics and Gerontology 387
- Molecular Biology 2.0k
- Physiology 461
- Physiology 56
Countries citing papers authored by Weiwei Dang
This map shows the geographic impact of Weiwei Dang'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 Weiwei Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Dang more than expected).
Fields of papers citing papers by Weiwei Dang
This network shows the impact of papers produced by Weiwei Dang. 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 Weiwei Dang. The network helps show where Weiwei Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Dang, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 527 | |
| 2 | 2009 | 259 | |
| 3 | 2019 | 249 | |
| 4 | 2015 | 132 | |
| 5 | 2012 | 131 | |
| 6 | 2019 | 129 | |
| 7 | 2004 | 118 | |
| 8 | 2011 | 104 | |
| 9 | 2007 | 92 | |
| 10 | 2014 | 78 | |
| 11 | 2006 | 69 | |
| 12 | 2020 | 68 | |
| 13 | 2014 | 67 | |
| 14 | 2018 | 59 | |
| 15 | 2014 | 54 | |
| 16 | 2021 | 52 | |
| 17 | 2021 | 49 | |
| 18 | 2009 | 44 | |
| 19 | 2016 | 41 | |
| 20 | 2018 | 39 |
About Weiwei Dang
Weiwei Dang is a scholar working on Aging, Geriatrics and Gerontology, Molecular Biology, Physiology and Physiology, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Genomics and Chromatin Dynamics (14 papers), Sirtuins and Resveratrol in Medicine (13 papers), Epigenetics and DNA Methylation (7 papers), DNA Repair Mechanisms (7 papers), Autophagy in Disease and Therapy (6 papers), Histone Deacetylase Inhibitors Research (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Aging (484 citations), Geriatrics and Gerontology (387 citations), Molecular Biology (2.0k citations), Physiology (461 citations) and Physiology (56 citations). Weiwei Dang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shelley L. Berger, Blaine Bartholomew, F. Brad Johnson, Matt R. Kaeberlein, Brian Keith Kennedy, Jean A. Dorsey, Kristan K. Steffen, Ali Shilatifard, Brenna S. McCauley and Mohamedi N. Kagalwala. Their work appears in journals such as The EMBO Journal, Cell, GeroScience, Proceedings of the National Academy of Sciences and Science Advances.
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.