Dong Yan
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
- Aging 25
- Genetics, Aging, and Longevity in Model Organisms 25
-
- Circular RNAs in diseases 9
- CRISPR and Genetic Engineering 8
- RNA modifications and cancer 7
- Ubiquitin and proteasome pathways 7
- Co-authors
- Julie Ahringer (10 shared papers)Monica Gotta (2 shared papers)Andrew G. Fraser (2 shared papers)Gino B Poulin (2 shared papers)Alexander A Kanapin (1 shared paper)Marc Sohrmann (1 shared paper)Richard M. Durbin (1 shared paper)David P. Welchman (1 shared paper)
- Journals
- eLife (4 papers)Neuron (3 papers)Cell Reports (3 papers)PLoS Genetics (3 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dong Yan
72 papers receiving 5.5k citations
Dong Yan's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 2.4k
- Endocrine and Autonomic Systems 474
- Molecular Biology 3.7k
- Developmental Neuroscience 172
- Cell Biology 683
Countries citing papers authored by Dong Yan
This map shows the geographic impact of Dong Yan'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 Dong Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Yan more than expected).
Fields of papers citing papers by Dong Yan
This network shows the impact of papers produced by Dong Yan. 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 Dong Yan. The network helps show where Dong Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dong Yan, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systematic functional analysis of the Caenorhabditis elegans genome using RNAi Hit paper breakdown → | 2003 | 2904 |
| 2 | 2009 | 291 | |
| 3 | 2014 | 280 | |
| 4 | 2003 | 200 | |
| 5 | 2011 | 157 | |
| 6 | 2019 | 135 | |
| 7 | 2005 | 111 | |
| 8 | 2012 | 84 | |
| 9 | 2018 | 82 | |
| 10 | 2017 | 81 | |
| 11 | 2006 | 77 | |
| 12 | 2022 | 75 | |
| 13 | 2008 | 67 | |
| 14 | 2014 | 66 | |
| 15 | 2019 | 63 | |
| 16 | 2018 | 62 | |
| 17 | 2012 | 60 | |
| 18 | 2016 | 54 | |
| 19 | 2020 | 43 | |
| 20 | 2019 | 41 |
About Dong Yan
Dong Yan is a scholar working on Aging, Molecular Biology, Cancer Research, Endocrine and Autonomic Systems and Cell Biology, having authored 75 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (25 papers), Circular RNAs in diseases (9 papers), MicroRNA in disease regulation (9 papers), CRISPR and Genetic Engineering (8 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers), Ubiquitin and proteasome pathways (7 papers) and Circadian rhythm and melatonin (5 papers). The work is most often cited by research in Aging (2.4k citations), Endocrine and Autonomic Systems (474 citations), Molecular Biology (3.7k citations), Developmental Neuroscience (172 citations) and Cell Biology (683 citations). Dong Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Julie Ahringer, Monica Gotta, Andrew G. Fraser, Gino B Poulin, Alexander A Kanapin, Marc Sohrmann, Richard M. Durbin, David P. Welchman, Sergio Moreno and Nathalie Le Bot. Their work appears in journals such as eLife, Neuron, Cell Reports, PLoS Genetics and Journal of Cellular and Molecular Medicine.
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.