Chune Dong
Impact in
- Organic Chemistry top 2%
- Asymmetric Synthesis and Catalysis
- Synthesis and Catalytic Reactions
- Catalytic C–H Functionalization Methods
- Synthesis and biological activity
- Toxicology top 2%
Papers in
-
- Asymmetric Synthesis and Catalysis 15
- Catalytic C–H Functionalization Methods 10
- Synthesis and Catalytic Reactions 10
- Genetics 24
- Estrogen and related hormone effects 24
- Co-authors
- Hai‐Bing Zhou (73 shared papers)Xin Han (13 shared papers)Howard Alper (5 shared papers)Jian Huang (16 shared papers)Zhiye Hu (18 shared papers)Silong Zhang (7 shared papers)Chu Chi Tang (6 shared papers)Chang Min (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (15 papers)European Journal of Medicinal Chemistry (11 papers)Tetrahedron Asymmetry (9 papers)Organic & Biomolecular Chemistry (6 papers)RSC Advances (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Chune Dong
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 90
- Organic Chemistry 1.2k
- Toxicology 81
- Inorganic Chemistry 230
- Molecular Biology 776
- Genetics 260
Countries citing papers authored by Chune Dong
This map shows the geographic impact of Chune Dong'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 Chune Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chune Dong more than expected).
Fields of papers citing papers by Chune Dong
This network shows the impact of papers produced by Chune Dong. 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 Chune Dong. The network helps show where Chune Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chune Dong, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 104 | |
| 2 | 2011 | 80 | |
| 3 | 2016 | 78 | |
| 4 | 2014 | 66 | |
| 5 | 2022 | 61 | |
| 6 | 2004 | 60 | |
| 7 | 2003 | 52 | |
| 8 | 2023 | 51 | |
| 9 | 2017 | 50 | |
| 10 | 2016 | 43 | |
| 11 | 2004 | 41 | |
| 12 | 2012 | 39 | |
| 13 | 2018 | 39 | |
| 14 | 2012 | 38 | |
| 15 | 2019 | 36 | |
| 16 | 2013 | 36 | |
| 17 | 2012 | 35 | |
| 18 | 2014 | 35 | |
| 19 | 1992 | 34 | |
| 20 | 2012 | 34 |
About Chune Dong
Chune Dong is a scholar working on Organic Chemistry, Genetics, Toxicology, Molecular Biology and Inorganic Chemistry, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (24 papers), Protein Degradation and Inhibitors (16 papers), Asymmetric Synthesis and Catalysis (15 papers), Ubiquitin and proteasome pathways (11 papers), Catalytic C–H Functionalization Methods (10 papers), Synthesis and Catalytic Reactions (10 papers), Chemical Synthesis and Analysis (9 papers) and Asymmetric Hydrogenation and Catalysis (8 papers). The work is most often cited by research in Organic Chemistry (1.2k citations), Toxicology (81 citations), Inorganic Chemistry (230 citations), Molecular Biology (776 citations) and Genetics (260 citations). Chune Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hai‐Bing Zhou, Xin Han, Howard Alper, Jian Huang, Zhiye Hu, Silong Zhang, Chu Chi Tang, Chang Min, Ze Dong and Shuwen Wu. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Tetrahedron Asymmetry, Organic & Biomolecular Chemistry and RSC Advances.
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.