John Reynolds
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Computational Theory and Mathematics top 0.2%
- Formal Methods in Verification
Papers in
- Hematology 69
- Multiple Myeloma Research and Treatments 28
- Chronic Myeloid Leukemia Treatments 26
- Acute Myeloid Leukemia Research 18
- Genetics 31
- Chronic Lymphocytic Leukemia Research 27
- Co-authors
- B. S. WeirC. Clark CockerhamG. P. SparlingMaurice NivatC.W. FelthamPeter W. O’HearnA.W. WestP. L. Singleton
- Journals
- Blood (34 papers)Journal of Clinical Oncology (6 papers)Haematologica (6 papers)British Journal of Haematology (5 papers)Blood Advances (5 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
John Reynolds
217 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Hematology 1.5k
- Computational Theory and Mathematics 1.7k
- Software 340
- Artificial Intelligence 2.8k
- Genetics 913
Countries citing papers authored by John Reynolds
This map shows the geographic impact of John Reynolds'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 John Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Reynolds more than expected).
Fields of papers citing papers by John Reynolds
This network shows the impact of papers produced by John Reynolds. 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 John Reynolds. The network helps show where John Reynolds may publish in the future.
Co-authors
The 25 scholars most cited alongside John Reynolds, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 10 | |
| 9 | 2021 | 6 | |
| 10 | 2019 | 24 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 17 | |
| 13 | 2017 | 30 | |
| 14 | Nilotinib induces deeper molecular responses vs continued imatinib in patients with ph+ chronic myeloid leukemia (CML) with detectable disease after ≥ 2 years on imatinib: ENESTcmr 12-months results | 2012 | 0 |
| 15 | I{sup 131} therapy induces persistent radiation-dose dependent increases in glycophorin a locus somatic mutations in bone marrow stem cells | 1995 | 2 |
| 16 | 1987 | 6 | |
| 17 | Conjunctive Types and Algol-like Languages | 1987 | 3 |
| 18 | 1985 | 1 | |
| 19 | 1985 | 3 | |
| 20 | NHS planning: an assessment. | 1980 | 4 |
About John Reynolds
John Reynolds is a scholar working on Hematology, Genetics, Chemical Health and Safety, Small Animals and Artificial Intelligence, having authored 234 papers that have together received 9.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (28 papers), Logic, programming, and type systems (28 papers), Chronic Lymphocytic Leukemia Research (27 papers), Chronic Myeloid Leukemia Treatments (26 papers), Acute Myeloid Leukemia Research (18 papers), Acute Lymphoblastic Leukemia research (17 papers), Logic, Reasoning, and Knowledge (15 papers) and Protein Degradation and Inhibitors (15 papers). The work is most often cited by research in Hematology (1.5k citations), Computational Theory and Mathematics (1.7k citations), Software (340 citations), Artificial Intelligence (2.8k citations) and Genetics (913 citations). John Reynolds has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include B. S. Weir, C. Clark Cockerham, G. P. Sparling, Maurice Nivat, C.W. Feltham, Peter W. O’Hearn, A.W. West, P. L. Singleton, T.M. Ngapo and Raymond Mawson. Their work appears in journals such as Blood, Journal of Clinical Oncology, Haematologica, British Journal of Haematology and Blood Advances.
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.