Jonathan Keller
Impact in
- Immunology top 10%
- Mast cells and histamine
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
-
- Protein Degradation and Inhibitors 1
- Steroid Chemistry and Biochemistry 1
- TGF-β signaling in diseases 1
- DNA Repair Mechanisms 1
-
- Acute Myeloid Leukemia Research 4
- Co-authors
- E W Palaszynski (1 shared paper)James N. Ihle (1 shared paper)John Gooya (2 shared papers)Kimberly D. Klarmann (2 shared papers)Matthew J. Holman (1 shared paper)Victoria L. Heath (1 shared paper)Mariaestela Ortiz (1 shared paper)Hyung C. Suh (1 shared paper)
- Journals
- Blood (2 papers)The Journal of Immunology (1 paper)Current topics in microbiology and immunology (1 paper)European Neuropsychopharmacology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
Jonathan Keller
8 papers receiving 585 citations
Peers
Comparison fields: 5 of 66
- Immunology 328
- Hematology 163
- Immunology and Allergy 67
- Genetics 68
- Molecular Biology 239
Countries citing papers authored by Jonathan Keller
This map shows the geographic impact of Jonathan 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 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 Keller more than expected).
Fields of papers citing papers by Jonathan Keller
This network shows the impact of papers produced by Jonathan 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 Keller. The network helps show where Jonathan Keller may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan 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
| # | Work | ||
|---|---|---|---|
| 1 | 1983 | 408 | |
| 2 | 2004 | 88 | |
| 3 | 2012 | 51 | |
| 4 | 2020 | 22 | |
| 5 | 2007 | 21 | |
| 6 | 1991 | 15 | |
| 7 | 1989 | 2 | |
| 8 | 2019 | 1 |
About Jonathan Keller
Jonathan Keller is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 608 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (1 paper), Steroid Chemistry and Biochemistry (1 paper), TGF-β signaling in diseases (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cancer-related Molecular Pathways (1 paper), DNA Repair Mechanisms (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (328 citations), Hematology (163 citations), Immunology and Allergy (67 citations), Genetics (68 citations) and Molecular Biology (239 citations). Jonathan Keller has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include E W Palaszynski, James N. Ihle, John Gooya, Kimberly D. Klarmann, Matthew J. Holman, Victoria L. Heath, Mariaestela Ortiz, Hyung C. Suh, Peter F. Johnson and Ravi Bhatia. Their work appears in journals such as Blood, The Journal of Immunology, Current topics in microbiology and immunology, European Neuropsychopharmacology and Proceedings of the National Academy of Sciences.
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.