Jian Jeffrey Chen
- Organic Chemistry top 10%
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism
- Cell Biology
- Co-authors
- Dennis D. TannerChristopher FotschBen AskewNirmala SundarRajAlison BudelskyKaustav BiswasWenyuan QianLeyla Arik
- Topics
- Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers)Peptidase Inhibition and Analysis (5 papers)Neuropeptides and Animal Physiology (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyCancer Research
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jian Jeffrey Chen
28 papers receiving 472 citations
Peers
Comparison fields: 5 of 89
- Organic Chemistry 247
- Molecular Biology 129
- Genetics 43
- Endocrinology, Diabetes and Metabolism 41
- Cell Biology 40
Countries citing papers authored by Jian Jeffrey Chen
This map shows the geographic impact of Jian Jeffrey Chen'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 Jian Jeffrey Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Jeffrey Chen more than expected).
Fields of papers citing papers by Jian Jeffrey Chen
This network shows the impact of papers produced by Jian Jeffrey Chen. 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 Jian Jeffrey Chen. The network helps show where Jian Jeffrey Chen may publish in the future.
Co-authorship network of co-authors of Jian Jeffrey Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Jeffrey Chen. A scholar is included among the top collaborators of Jian Jeffrey Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jian Jeffrey Chen. Jian Jeffrey Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 18 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 35 | |
| 11 | 14 | |
| 12 | 28 | |
| 13 | 37 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 30 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 67 | |
| 20 | Quality control procedure for 6-[18F]fluoro-L-DOPA: a presynaptic PET imaging ligand for brain dopamine neurons. | 13 |
About Jian Jeffrey Chen
Jian Jeffrey Chen is a scholar working on Genetics, Virology and Pharmacology, having authored 29 papers that have together received 499 indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Peptidase Inhibition and Analysis (5 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Organic Chemistry (247 citations), Pharmaceutical Science (25 citations) and Genetics (43 citations). Jian Jeffrey Chen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dennis D. Tanner, Christopher Fotsch, Ben Askew, Nirmala SundarRaj, Alison Budelsky, Kaustav Biswas, Wenyuan Qian, Leyla Arik, Randall W. Hungate and Stephen A. Hitchcock. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Cancer 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.