Weiwei Dang
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 16
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine 10
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 14
- DNA Repair Mechanisms 7
- Epigenetics and DNA Methylation 7
- RNA Interference and Gene Delivery 4
- Histone Deacetylase Inhibitors Research 4
- Physiology top 5%
- Endocrine and Autonomic Systems top 10%
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- Autophagy in Disease and Therapy 5
- Co-authors
- Shelley L. BergerBlaine BartholomewMatt KaeberleinBrian K. KennedyJean DorseyF. Brad JohnsonKristan K. SteffenMohamedi N. Kagalwala
- Journals
- Nature Communications (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaAustria
In The Last Decade
Weiwei Dang
40 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 104
- Aging 441
- Geriatrics and Gerontology 286
- Molecular Biology 1.9k
- Physiology 374
- Endocrine and Autonomic Systems 58
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 13 | |
| 3 | 2021 | 33 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 5 | |
| 6 | 2021 | 4 | |
| 7 | 2020 | 34 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 9 | |
| 10 | 2019 | 106 | |
| 11 | 2019 | 24 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 39 | |
| 14 | 2015 | 128 | |
| 15 | 2014 | 49 | |
| 16 | 2013 | 10 | |
| 17 | 2012 | 122 | |
| 18 | 2009 | 248 | |
| 19 | 2009 | 24 | |
| 20 | 2004 | 117 |
About Weiwei Dang
Weiwei Dang is a scholar working on Aging, Geriatrics and Gerontology and Physiology, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Genomics and Chromatin Dynamics (14 papers), Sirtuins and Resveratrol in Medicine (10 papers), DNA Repair Mechanisms (7 papers), Epigenetics and DNA Methylation (7 papers), Autophagy in Disease and Therapy (5 papers), RNA Interference and Gene Delivery (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Aging (441 citations), Geriatrics and Gerontology (286 citations) and Molecular Biology (1.9k citations). Weiwei Dang has collaborated with scholars based in United States, China and Austria. Frequent co-authors include Shelley L. Berger, Blaine Bartholomew, Matt Kaeberlein, Brian K. Kennedy, Jean Dorsey, F. Brad Johnson, Kristan K. Steffen, Mohamedi N. Kagalwala, Ali Shilatifard and Brenna S. McCauley. Their work appears in journals such as Nature Communications, Nature, Proceedings of the National Academy of Sciences, GeroScience and The EMBO Journal.
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.