Jonathan Feld
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in ⓘ
- Hematology 17
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 7
- Genetics 14
- Myeloproliferative Neoplasms: Diagnosis and Treatment 8
- Chronic Lymphocytic Leukemia Research 3
- Glioma Diagnosis and Treatment 3
- Co-authors
- Joseph T. Neary (1 shared paper)Dinh Minh Tran (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)Douglas Tremblay (2 shared papers)
- Journals
- Blood (7 papers)Leukemia Research (2 papers)JAMA Network Open (1 paper)Journal of Hepatology (1 paper)JCO Precision Oncology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Jonathan Feld
23 papers receiving 356 citations
Peers
Comparison fields: 5 of 69
- Hematology 92
- Physiology 37
- Infectious Diseases 146
- Internal Medicine 20
- Genetics 54
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2005 | 77 | |
| 3 | 2020 | 48 | |
| 4 | 2021 | 36 | |
| 5 | 2013 | 34 | |
| 6 | 2020 | 32 | |
| 7 | 2020 | 9 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2024 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 2 | |
| 19 | Decreased hepatitis B and C testing in Ontario, Canada during the first wave of the COVID-19 pandemic | 2021 | 1 |
| 20 | 2024 | 1 |
About Jonathan Feld
Jonathan Feld is a scholar working on Hematology, Genetics, Internal Medicine, Physiology and Infectious Diseases, having authored 27 papers that have together received 361 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), COVID-19 Clinical Research Studies (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glioma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Hematological disorders and diagnostics (2 papers). The work is most often cited by research in Hematology (92 citations), Physiology (37 citations), Infectious Diseases (146 citations), Internal Medicine (20 citations) and Genetics (54 citations). Jonathan Feld has collaborated with scholars based in United States and France. Frequent co-authors include Joseph T. Neary, Dinh Minh Tran, Yuan Kang, Leonard Naymagon, Alaina J. Kessler, Santiago Thibaud, Douglas Tremblay, Douglas Tremblay, John Mascarenhas and Shyamala Navada. Their work appears in journals such as Blood, Leukemia Research, JAMA Network Open, Journal of Hepatology and JCO Precision Oncology.
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.