Jonathan A. Low
Impact in
- Oncology top 5%
- Polyomavirus and related diseases
- Hematology top 5%
Papers in
- Oncology 13
- Polyomavirus and related diseases 6
-
- Protein Degradation and Inhibitors 6
- Co-authors
- Michael J. Imperiale (7 shared papers)Johanna R. Abend (2 shared papers)Brian Magnuson (1 shared paper)Billy Tsai (1 shared paper)Mark L. Day (2 shared papers)Michael T. McCabe (2 shared papers)Douglas R. Green (2 shared papers)Cliff S. Guy (2 shared papers)
- Journals
- Nature Communications (4 papers)Cancer Research (3 papers)SLAS DISCOVERY (3 papers)Journal of Virology (3 papers)Molecular Cancer Therapeutics (2 papers)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Jonathan A. Low
40 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 99
- Oncology 577
- Hematology 183
- Molecular Biology 1.1k
- Biophysics 71
- Immunology 198
Countries citing papers authored by Jonathan A. Low
This map shows the geographic impact of Jonathan A. Low'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 A. Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan A. Low more than expected).
Fields of papers citing papers by Jonathan A. Low
This network shows the impact of papers produced by Jonathan A. Low. 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 A. Low. The network helps show where Jonathan A. Low may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan A. Low, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 325 | |
| 2 | 2015 | 154 | |
| 3 | 2006 | 153 | |
| 4 | 2006 | 118 | |
| 5 | 2004 | 106 | |
| 6 | 2017 | 88 | |
| 7 | 2006 | 81 | |
| 8 | 2001 | 68 | |
| 9 | 2021 | 68 | |
| 10 | 2006 | 65 | |
| 11 | 2013 | 61 | |
| 12 | 2017 | 44 | |
| 13 | 2023 | 43 | |
| 14 | 2022 | 41 | |
| 15 | 2020 | 39 | |
| 16 | 2009 | 39 | |
| 17 | 2023 | 38 | |
| 18 | 2018 | 38 | |
| 19 | 2022 | 38 | |
| 20 | 2020 | 30 |
About Jonathan A. Low
Jonathan A. Low is a scholar working on Oncology, Molecular Biology, Biophysics, Hematology and Infectious Diseases, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (6 papers), Polyomavirus and related diseases (6 papers), Cell Image Analysis Techniques (5 papers), Parvovirus B19 Infection Studies (5 papers), Neuroblastoma Research and Treatments (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Oncology (577 citations), Hematology (183 citations), Molecular Biology (1.1k citations), Biophysics (71 citations) and Immunology (198 citations). Jonathan A. Low has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Michael J. Imperiale, Johanna R. Abend, Brian Magnuson, Billy Tsai, Mark L. Day, Michael T. McCabe, Douglas R. Green, Cliff S. Guy, Giovanni Quarato and Ricardo Weinlich. Their work appears in journals such as Nature Communications, Cancer Research, SLAS DISCOVERY, Journal of Virology and Molecular Cancer Therapeutics.
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.