Jun Ding
Impact in
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development
- Spectroscopy top 1%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
- Molecular Sensors and Ion Detection
Papers in ⓘ
-
- Analytical chemistry methods development 12
-
- Forensic Toxicology and Drug Analysis 4
- Co-authors
- Yu‐Qi Feng (26 shared papers)Qiang Gao (4 shared papers)Dan Luo (3 shared papers)Zhi‐Guo Shi (2 shared papers)Hao-Bo Zheng (4 shared papers)Bi‐Feng Yuan (5 shared papers)Wei Huang (2 shared papers)Qiong‐Wei Yu (5 shared papers)
- Journals
- Journal of Chromatography A (8 papers)Analytica Chimica Acta (5 papers)Journal of Separation Science (2 papers)Talanta (2 papers)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Ding
41 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 109
- Analytical Chemistry 647
- Spectroscopy 657
- Electrochemistry 138
- Bioengineering 87
- Food Science 155
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 171 | |
| 2 | 2011 | 137 | |
| 3 | 2010 | 129 | |
| 4 | 2011 | 119 | |
| 5 | 2015 | 115 | |
| 6 | 2014 | 95 | |
| 7 | 2012 | 78 | |
| 8 | 2015 | 65 | |
| 9 | 2017 | 50 | |
| 10 | 2012 | 47 | |
| 11 | 2019 | 42 | |
| 12 | 2017 | 42 | |
| 13 | 2016 | 39 | |
| 14 | 2014 | 35 | |
| 15 | 2022 | 31 | |
| 16 | 2016 | 31 | |
| 17 | 2015 | 31 | |
| 18 | 2018 | 26 | |
| 19 | 2018 | 24 | |
| 20 | 2014 | 21 |
About Jun Ding
Jun Ding is a scholar working on Analytical Chemistry, Toxicology, Spectroscopy, Clinical Biochemistry and Bioengineering, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (15 papers), Analytical chemistry methods development (12 papers), Advanced biosensing and bioanalysis techniques (5 papers), Electrochemical sensors and biosensors (4 papers), Analytical Chemistry and Chromatography (4 papers), Forensic Toxicology and Drug Analysis (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Analytical Chemistry (647 citations), Spectroscopy (657 citations), Electrochemistry (138 citations), Bioengineering (87 citations) and Food Science (155 citations). Jun Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu‐Qi Feng, Qiang Gao, Dan Luo, Zhi‐Guo Shi, Hao-Bo Zheng, Bi‐Feng Yuan, Wei Huang, Qiong‐Wei Yu, Qianqian Li and Qian Peng. Their work appears in journals such as Journal of Chromatography A, Analytica Chimica Acta, Journal of Separation Science, Talanta and Analytical and Bioanalytical Chemistry.
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.