Shun‐Jun Ji
Impact in
- Organic Chemistry top 0.2%
- Catalytic C–H Functionalization Methods
- Sulfur-Based Synthesis Techniques
- Multicomponent Synthesis of Heterocycles
- Catalytic Cross-Coupling Reactions
- Chemical Synthesis and Reactions
- Radical Photochemical Reactions
- Synthesis and Catalytic Reactions
- Asymmetric Synthesis and Catalysis
- Toxicology top 0.5%
Papers in
-
- Catalytic C–H Functionalization Methods 75
- Chemical Synthesis and Reactions 36
- Sulfur-Based Synthesis Techniques 35
- Multicomponent Synthesis of Heterocycles 26
- Oxidative Organic Chemistry Reactions 25
- Catalytic Cross-Coupling Reactions 23
- Synthesis and Catalytic Reactions 22
- Synthesis of Indole Derivatives 16
- Toxicology 11
- Co-authors
- Shun‐Yi WangXiaoping XuZheng‐Yang GuJincheng MaoJun GuoTeck‐Peng LohTong‐Hao ZhuJia‐Jia Cao
In The Last Decade
Shun‐Jun Ji
166 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 61
- Organic Chemistry 4.3k
- Toxicology 211
- Process Chemistry and Technology 122
- Inorganic Chemistry 418
- Pharmaceutical Science 173
Countries citing papers authored by Shun‐Jun Ji
This map shows the geographic impact of Shun‐Jun Ji'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 Shun‐Jun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shun‐Jun Ji more than expected).
Fields of papers citing papers by Shun‐Jun Ji
This network shows the impact of papers produced by Shun‐Jun Ji. 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 Shun‐Jun Ji. The network helps show where Shun‐Jun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Shun‐Jun Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2022 | 10 | |
| 4 | 2021 | 45 | |
| 5 | 2018 | 34 | |
| 6 | 2018 | 20 | |
| 7 | 2015 | 23 | |
| 8 | 2015 | 4 | |
| 9 | 2015 | 60 | |
| 10 | 2015 | 5 | |
| 11 | 2014 | 105 | |
| 12 | 2014 | 124 | |
| 13 | 2014 | 12 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 54 | |
| 16 | 2011 | 39 | |
| 17 | 2011 | 18 | |
| 18 | 2011 | 3 | |
| 19 | 2005 | 30 | |
| 20 | 2004 | 29 |
About Shun‐Jun Ji
Shun‐Jun Ji is a scholar working on Organic Chemistry, Toxicology, Process Chemistry and Technology, Pharmaceutical Science and Inorganic Chemistry, having authored 171 papers that have together received 4.7k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (75 papers), Chemical Synthesis and Reactions (36 papers), Sulfur-Based Synthesis Techniques (35 papers), Multicomponent Synthesis of Heterocycles (26 papers), Oxidative Organic Chemistry Reactions (25 papers), Catalytic Cross-Coupling Reactions (23 papers), Synthesis and Catalytic Reactions (22 papers) and Synthesis of Indole Derivatives (16 papers). The work is most often cited by research in Organic Chemistry (4.3k citations), Toxicology (211 citations), Process Chemistry and Technology (122 citations), Inorganic Chemistry (418 citations) and Pharmaceutical Science (173 citations). Shun‐Jun Ji has collaborated with scholars based in China, France and Australia. Frequent co-authors include Shun‐Yi Wang, Xiaoping Xu, Zheng‐Yang Gu, Jincheng Mao, Jun Guo, Teck‐Peng Loh, Tong‐Hao Zhu, Jia‐Jia Cao, Xue‐Qiang Chu and Zhong‐Jian Cai. Their work appears in journals such as Tetrahedron, Organic Chemistry Frontiers, Chemical Communications, Organic & Biomolecular Chemistry and Chinese Journal of 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.