Jonathan J. Chen
Impact in
- Biophysics top 10%
Papers in
-
- Single-cell and spatial transcriptomics 5
-
- Prostate Cancer Diagnosis and Treatment 2
- Co-authors
- Rong Fan (7 shared papers)Donald P. Visco (6 shared papers)Lorenzo Galluzzi (1 shared paper)Minsuk Kwak (4 shared papers)Yao Lu (3 shared papers)Denis Wirtz (2 shared papers)Pei-Hsun Wu (2 shared papers)Luye Mu (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Journal of Clinical Oncology (2 papers)European Journal of Medicinal Chemistry (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Analytical Chemistry (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Jonathan J. Chen
21 papers receiving 604 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 85
- Biophysics 30
- Biomedical Engineering 225
- Molecular Biology 299
- Oncology 116
Countries citing papers authored by Jonathan J. Chen
This map shows the geographic impact of Jonathan J. 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 Jonathan J. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Chen more than expected).
Fields of papers citing papers by Jonathan J. Chen
This network shows the impact of papers produced by Jonathan J. 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 Jonathan J. Chen. The network helps show where Jonathan J. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan J. Chen, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 136 | |
| 2 | 2017 | 128 | |
| 3 | 2017 | 66 | |
| 4 | 2014 | 48 | |
| 5 | 2015 | 48 | |
| 6 | 2019 | 41 | |
| 7 | 2016 | 28 | |
| 8 | 2017 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2018 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2013 | 12 | |
| 13 | 2011 | 7 | |
| 14 | 2021 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2022 | 2 |
About Jonathan J. Chen
Jonathan J. Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Computational Theory and Mathematics and Genetics, having authored 22 papers that have together received 609 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Computational Drug Discovery Methods (4 papers), Bladder and Urothelial Cancer Treatments (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Cell Image Analysis Techniques (2 papers), Prostate Cancer Diagnosis and Treatment (2 papers), Cellular Mechanics and Interactions (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Cancer Research (85 citations), Biophysics (30 citations), Biomedical Engineering (225 citations), Molecular Biology (299 citations) and Oncology (116 citations). Jonathan J. Chen has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Rong Fan, Donald P. Visco, Lorenzo Galluzzi, Minsuk Kwak, Yao Lu, Denis Wirtz, Pei-Hsun Wu, Luye Mu, Jie Li and Yu Wu. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, European Journal of Medicinal Chemistry, International Journal of Radiation Oncology*Biology*Physics and Analytical 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.