Jonathan M. Keller
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
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- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
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- Simulation-Based Education in Healthcare 5
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- Cell death mechanisms and regulation 2
- Co-authors
- Christina M. Surawicz (1 shared paper)Marc Ferrer (8 shared papers)Craig J. Thomas (7 shared papers)Rajarshi Guha (6 shared papers)Noel Southall (3 shared papers)Lesley Mathews (4 shared papers)Lesley A. Mathews Griner (4 shared papers)Levi J. Beverly (2 shared papers)
- Journals
- American Journal of Respiratory and Critical Care Medicine (3 papers)SLAS DISCOVERY (2 papers)PLoS ONE (2 papers)Clinical Cancer Research (1 paper)Clinics in Geriatric Medicine (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Jonathan M. Keller
22 papers receiving 602 citations
Peers
Comparison fields: 5 of 92
- Hematology 155
- Immunology 131
- Emergency Medicine 54
- Genetics 48
- Oncology 117
Countries citing papers authored by Jonathan M. Keller
This map shows the geographic impact of Jonathan M. Keller'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 M. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Keller more than expected).
Fields of papers citing papers by Jonathan M. Keller
This network shows the impact of papers produced by Jonathan M. Keller. 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 M. Keller. The network helps show where Jonathan M. Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan M. Keller, 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 | 155 | |
| 2 | 2014 | 144 | |
| 3 | 2013 | 58 | |
| 4 | 2016 | 48 | |
| 5 | 2013 | 39 | |
| 6 | 2018 | 29 | |
| 7 | 2012 | 27 | |
| 8 | 2019 | 18 | |
| 9 | 2019 | 16 | |
| 10 | 2018 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2016 | 8 | |
| 13 | 2020 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2019 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2018 | 3 |
About Jonathan M. Keller
Jonathan M. Keller is a scholar working on Physiology, Molecular Biology, Pulmonary and Respiratory Medicine, Oncology and Emergency Medicine, having authored 22 papers that have together received 610 indexed citations. Recurring topics across this work include Simulation-Based Education in Healthcare (5 papers), Toxin Mechanisms and Immunotoxins (2 papers), Respiratory Support and Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers), 3D Printing in Biomedical Research (2 papers), Hospital Admissions and Outcomes (2 papers), Patient Safety and Medication Errors (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Hematology (155 citations), Immunology (131 citations), Emergency Medicine (54 citations), Genetics (48 citations) and Oncology (117 citations). Jonathan M. Keller has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Christina M. Surawicz, Marc Ferrer, Craig J. Thomas, Rajarshi Guha, Noel Southall, Lesley Mathews, Lesley A. Mathews Griner, Levi J. Beverly, Paul Shinn and Andrés Jerez. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, SLAS DISCOVERY, PLoS ONE, Clinical Cancer Research and Clinics in Geriatric Medicine.
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.