Jonathan Feld
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 7
- Genetics 11
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 2
- Glioma Diagnosis and Treatment 2
- Co-authors
- Joseph T. Neary (1 shared paper)Yuan Kang (1 shared paper)Leonard Naymagon (3 shared papers)Alaina J. Kessler (3 shared papers)Santiago Thibaud (2 shared papers)Douglas Tremblay (15 shared papers)John Mascarenhas (11 shared papers)Douglas Tremblay (2 shared papers)
- Journals
- Blood (7 papers)Leukemia Research (2 papers)The Oncologist (1 paper)Cancer Medicine (1 paper)HemaSphere (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jonathan Feld
23 papers receiving 373 citations
Peers
Comparison fields: 5 of 67
- Hematology 95
- Physiology 38
- Infectious Diseases 109
- Genetics 47
- Internal Medicine 14
Countries citing papers authored by Jonathan Feld
This map shows the geographic impact of Jonathan Feld'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 Feld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Feld more than expected).
Fields of papers citing papers by Jonathan Feld
This network shows the impact of papers produced by Jonathan Feld. 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 Feld. The network helps show where Jonathan Feld may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Feld, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2005 | 80 | |
| 3 | 2020 | 49 | |
| 4 | 2021 | 38 | |
| 5 | 2013 | 37 | |
| 6 | 2020 | 33 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | Decreased hepatitis B and C testing in Ontario, Canada during the first wave of the COVID-19 pandemic | 2021 | 1 |
About Jonathan Feld
Jonathan Feld is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Epidemiology, having authored 28 papers that have together received 379 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune cells in cancer (2 papers), Hematological disorders and diagnostics (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hematology (95 citations), Physiology (38 citations), Infectious Diseases (109 citations), Genetics (47 citations) and Internal Medicine (14 citations). Jonathan Feld has collaborated with scholars based in United States and France. Frequent co-authors include Joseph T. Neary, Yuan Kang, Leonard Naymagon, Alaina J. Kessler, Santiago Thibaud, Douglas Tremblay, John Mascarenhas, Douglas Tremblay, Shyamala Navada and Sheena Bhalla. Their work appears in journals such as Blood, Leukemia Research, The Oncologist, Cancer Medicine and HemaSphere.
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.