Jun Ding
Impact in
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances
- Neuroinflammation and Neurodegeneration Mechanisms
- Geriatrics and Gerontology top 5%
Papers in
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- S100 Proteins and Annexins 3
- Heme Oxygenase-1 and Carbon Monoxide 2
-
- Catalytic C–H Functionalization Methods 5
- Synthesis and Catalytic Reactions 3
- Cyclopropane Reaction Mechanisms 2
- Co-authors
- Heng‐Li Tian (18 shared papers)Fang Yuan (15 shared papers)Yan Guo (8 shared papers)Dianxu Yang (8 shared papers)Zhiming Xu (4 shared papers)Shiwen Chen (6 shared papers)Hao Chen (7 shared papers)Yingliang Liu (5 shared papers)
- Journals
- Organic Letters (2 papers)PLoS ONE (2 papers)Chemical Communications (2 papers)Journal of Neurotrauma (2 papers)American Journal of Translational Research (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Jun Ding
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Neurology 271
- Geriatrics and Gerontology 48
- Neurology 111
- Cancer Research 140
- Organic Chemistry 292
Countries citing papers authored by Jun Ding
This map shows the geographic impact of Jun 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 Jun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ding more than expected).
Fields of papers citing papers by Jun Ding
This network shows the impact of papers produced by Jun 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 Jun Ding. The network helps show where Jun Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 105 | |
| 2 | 2022 | 105 | |
| 3 | 2010 | 85 | |
| 4 | 2017 | 76 | |
| 5 | 2020 | 73 | |
| 6 | 2012 | 67 | |
| 7 | 2016 | 58 | |
| 8 | 2012 | 51 | |
| 9 | 2016 | 50 | |
| 10 | 2019 | 47 | |
| 11 | 2019 | 46 | |
| 12 | 2018 | 45 | |
| 13 | 2014 | 37 | |
| 14 | 2018 | 36 | |
| 15 | 2020 | 36 | |
| 16 | 2018 | 34 | |
| 17 | 2008 | 33 | |
| 18 | 2019 | 29 | |
| 19 | 2012 | 28 | |
| 20 | 2006 | 27 |
About Jun Ding
Jun Ding is a scholar working on Molecular Biology, Organic Chemistry, Neurology, Pharmacology and Neurology, having authored 54 papers that have together received 1.5k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (8 papers), Catalytic C–H Functionalization Methods (5 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers), S100 Proteins and Annexins (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Synthesis and Catalytic Reactions (3 papers), Cyclopropane Reaction Mechanisms (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Neurology (271 citations), Geriatrics and Gerontology (48 citations), Neurology (111 citations), Cancer Research (140 citations) and Organic Chemistry (292 citations). Jun Ding has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Heng‐Li Tian, Fang Yuan, Yan Guo, Dianxu Yang, Zhiming Xu, Shiwen Chen, Hao Chen, Yingliang Liu, Hao Chen and Shu‐Yu Zhang. Their work appears in journals such as Organic Letters, PLoS ONE, Chemical Communications, Journal of Neurotrauma and American Journal of Translational Research.
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.