Xiaojun Ding
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Epidemiology top 1%
- Autophagy in Disease and Therapy
Papers in
-
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- RNA modifications and cancer 4
- Genetics 10
- Co-authors
- She Chen (15 shared papers)Ian G. Ganley (1 shared paper)Du Lam (1 shared paper)Junru Wang (1 shared paper)Xuejun Jiang (1 shared paper)Qing Zhong (4 shared papers)Weiliang Fan (4 shared papers)Qiming Sun (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Textile Research Journal (3 papers)Nature (3 papers)Molecular Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xiaojun Ding
55 papers receiving 3.7k citations
Xiaojun Ding's Hit Papers
Peers
Comparison fields: 5 of 142
- Physiology 306
- Epidemiology 1.7k
- Endocrinology 250
- Cell Biology 579
- Geriatrics and Gerontology 89
Countries citing papers authored by Xiaojun Ding
This map shows the geographic impact of Xiaojun Ding'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 Xiaojun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojun Ding more than expected).
Fields of papers citing papers by Xiaojun Ding
This network shows the impact of papers produced by Xiaojun Ding. 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 Xiaojun Ding. The network helps show where Xiaojun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojun Ding, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ULK1·ATG13·FIP200 Complex Mediates mTOR Signaling and Is Essential for Autophagy Hit paper breakdown → | 2009 | 1213 |
| 2 | 2008 | 401 | |
| 3 | 2013 | 221 | |
| 4 | 2010 | 204 | |
| 5 | 2018 | 179 | |
| 6 | 2012 | 169 | |
| 7 | 2010 | 161 | |
| 8 | 2011 | 161 | |
| 9 | 2010 | 112 | |
| 10 | 2014 | 106 | |
| 11 | 2016 | 97 | |
| 12 | 2009 | 83 | |
| 13 | 2018 | 79 | |
| 14 | 2011 | 75 | |
| 15 | 2018 | 67 | |
| 16 | 2013 | 56 | |
| 17 | 2012 | 53 | |
| 18 | 2010 | 26 | |
| 19 | 2014 | 25 | |
| 20 | 2012 | 21 |
About Xiaojun Ding
Xiaojun Ding is a scholar working on Molecular Biology, Genetics, Neurology, Cognitive Neuroscience and Epidemiology, having authored 60 papers that have together received 3.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Myasthenia Gravis and Thymoma (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Neural dynamics and brain function (4 papers), RNA modifications and cancer (4 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Physiology (306 citations), Epidemiology (1.7k citations), Endocrinology (250 citations), Cell Biology (579 citations) and Geriatrics and Gerontology (89 citations). Xiaojun Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include She Chen, Ian G. Ganley, Du Lam, Junru Wang, Xuejun Jiang, Qing Zhong, Weiliang Fan, Qiming Sun, Keling Chen and Feng Shao. Their work appears in journals such as Journal of Biological Chemistry, Textile Research Journal, Nature, Molecular Cell and Proceedings of the National Academy of Sciences.
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.