Jun Ding
Impact in
- Neurology top 5%
- Traumatic Brain Injury and Neurovascular Disturbances
- Barrier Structure and Function Studies
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Neurology 17
- Traumatic Brain Injury and Neurovascular Disturbances 16
- Barrier Structure and Function Studies 4
-
- Catalytic C–H Functionalization Methods 4
- Co-authors
- Heng‐Li Tian (19 shared papers)Fang Yuan (15 shared papers)Yan Guo (8 shared papers)Dianxu Yang (8 shared papers)Hao Chen (8 shared papers)Shiwen Chen (6 shared papers)Zhiming Xu (4 shared papers)Yingliang Liu (5 shared papers)
- Journals
- Organic Letters (2 papers)Journal of Neurotrauma (2 papers)PLoS ONE (2 papers)Chemical Communications (2 papers)Journal of Neurochemistry (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jun Ding
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Neurology 386
- Neurology 114
- Drug Discovery 4
- Geriatrics and Gerontology 45
- Organic Chemistry 301
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 119 | |
| 2 | 2015 | 110 | |
| 3 | 2010 | 86 | |
| 4 | 2017 | 80 | |
| 5 | 2020 | 76 | |
| 6 | 2012 | 69 | |
| 7 | 2016 | 60 | |
| 8 | 2012 | 53 | |
| 9 | 2019 | 53 | |
| 10 | 2019 | 52 | |
| 11 | 2016 | 51 | |
| 12 | 2018 | 45 | |
| 13 | 2014 | 41 | |
| 14 | 2008 | 39 | |
| 15 | 2020 | 39 | |
| 16 | 2012 | 38 | |
| 17 | 2018 | 36 | |
| 18 | 2018 | 34 | |
| 19 | 2012 | 30 | |
| 20 | 2019 | 30 |
About Jun Ding
Jun Ding is a scholar working on Neurology, Neurology, Organic Chemistry, Cancer Research and Biomaterials, having authored 55 papers that have together received 1.6k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (16 papers), Barrier Structure and Function Studies (4 papers), Catalytic C–H Functionalization Methods (4 papers), Cancer, Hypoxia, and Metabolism (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Marine Bivalve and Aquaculture Studies (2 papers), Glioma Diagnosis and Treatment (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Neurology (386 citations), Neurology (114 citations), Drug Discovery (4 citations), Geriatrics and Gerontology (45 citations) and Organic Chemistry (301 citations). Jun Ding has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Heng‐Li Tian, Fang Yuan, Yan Guo, Dianxu Yang, Hao Chen, Shiwen Chen, Zhiming Xu, Yingliang Liu, Shu‐Yu Zhang and Jing Yao. Their work appears in journals such as Organic Letters, Journal of Neurotrauma, PLoS ONE, Chemical Communications and Journal of Neurochemistry.
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.