Jonathan E. Rubins
Impact in
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
- Microfluidic and Capillary Electrophoresis Applications
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Drug-Induced Hepatotoxicity and Protection 3
-
- Cell Image Analysis Techniques 2
- Co-authors
- Débora Barreiros Petrópolis (3 shared papers)Konstantia R. Kodella (3 shared papers)Geraldine A. Hamilton (3 shared papers)Evelyn Kendall Williams (1 shared paper)Susan E. Leggett (1 shared paper)Kyung‐Jin Jang (3 shared papers)Ian Y. Wong (1 shared paper)Lorna C. Ewart (2 shared papers)
- Journals
- Science Translational Medicine (1 paper)Integrative Biology (1 paper)iScience (1 paper)Toxicology Letters (1 paper)Archives of Toxicology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Jonathan E. Rubins
9 papers receiving 691 citations
Jonathan E. Rubins's Hit Papers
Peers
Comparison fields: 5 of 64
- Biomedical Engineering 435
- Pharmacology 100
- Small Animals 42
- Hepatology 32
- Biophysics 18
Countries citing papers authored by Jonathan E. Rubins
This map shows the geographic impact of Jonathan E. Rubins'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 E. Rubins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan E. Rubins more than expected).
Fields of papers citing papers by Jonathan E. Rubins
This network shows the impact of papers produced by Jonathan E. Rubins. 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 E. Rubins. The network helps show where Jonathan E. Rubins may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan E. Rubins, 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 | Reproducing human and cross-species drug toxicities using a Liver-Chip Hit paper breakdown → | 2019 | 410 |
| 2 | 2019 | 102 | |
| 3 | 2019 | 87 | |
| 4 | 2016 | 69 | |
| 5 | 2024 | 37 | |
| 6 | 2024 | 11 | |
| 7 | 2018 | 1 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 |
About Jonathan E. Rubins
Jonathan E. Rubins is a scholar working on Pharmacology, Biophysics, Biomedical Engineering, Transplantation and Immunology, having authored 9 papers that have together received 719 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Cell Image Analysis Techniques (2 papers), Pluripotent Stem Cells Research (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Anatomy and Medical Technology (1 paper), Cancer Cells and Metastasis (1 paper) and Immunotoxicology and immune responses (1 paper). The work is most often cited by research in Biomedical Engineering (435 citations), Pharmacology (100 citations), Small Animals (42 citations), Hepatology (32 citations) and Biophysics (18 citations). Jonathan E. Rubins has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Débora Barreiros Petrópolis, Konstantia R. Kodella, Geraldine A. Hamilton, Evelyn Kendall Williams, Susan E. Leggett, Kyung‐Jin Jang, Ian Y. Wong, Lorna C. Ewart, Dominic P. Williams and Alison J. Foster. Their work appears in journals such as Science Translational Medicine, Integrative Biology, iScience, Toxicology Letters and Archives of Toxicology.
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.