John M. Nicoll
Impact in
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
- Hematology 20
- Chronic Myeloid Leukemia Treatments 20
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- T-cell and B-cell Immunology 2
- Co-authors
- Charles L. Sawyers (19 shared papers)Neil P. Shah (19 shared papers)RONALD L. PAQUETTE (15 shared papers)Mercedes E. Gorre (2 shared papers)Bhushan Nagar (1 shared paper)John Kuriyan (1 shared paper)Eric W. Bleickardt (5 shared papers)Claude Nicaise (4 shared papers)
- Journals
- Blood (13 papers)The Journal of Immunology (4 papers)Cancer Cell (2 papers)Journal of Clinical Investigation (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
John M. Nicoll
27 papers receiving 4.6k citations
John M. Nicoll's Hit Papers
Peers
Comparison fields: 5 of 70
- Hematology 2.2k
- Cancer Research 326
- Genetics 98
- Oncology 184
- Immunology 100
Countries citing papers authored by John M. Nicoll
This map shows the geographic impact of John M. Nicoll'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 M. Nicoll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Nicoll more than expected).
Fields of papers citing papers by John M. Nicoll
This network shows the impact of papers produced by John M. Nicoll. 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 M. Nicoll. The network helps show where John M. Nicoll may publish in the future.
Co-authors
The 25 scholars most cited alongside John M. Nicoll, 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 | Dasatinib in Imatinib-Resistant Philadelphia Chromosome–Positive Leukemias Hit paper breakdown → | 2006 | 1438 |
| 2 | Multiple BCR-ABL kinase domain mutations confer polyclonal resistance to the tyrosine kinase inhibitor imatinib (STI571) in chronic phase and blast crisis chronic myeloid leukemia Hit paper breakdown → | 2002 | 1378 |
| 3 | 2008 | 596 | |
| 4 | 2007 | 344 | |
| 5 | 2002 | 219 | |
| 6 | 2008 | 202 | |
| 7 | 2011 | 128 | |
| 8 | 1996 | 96 | |
| 9 | 1999 | 79 | |
| 10 | 1998 | 61 | |
| 11 | 2007 | 47 | |
| 12 | 2004 | 46 | |
| 13 | 1999 | 30 | |
| 14 | 2011 | 29 | |
| 15 | 2008 | 20 | |
| 16 | 2005 | 19 | |
| 17 | 2004 | 18 | |
| 18 | 2005 | 13 | |
| 19 | 2006 | 10 | |
| 20 | 2010 | 10 |
About John M. Nicoll
John M. Nicoll is a scholar working on Hematology, Immunology, Genetics, Cell Biology and Cancer Research, having authored 27 papers that have together received 4.8k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (20 papers), T-cell and B-cell Immunology (2 papers), MicroRNA in disease regulation (1 paper), Microtubule and mitosis dynamics (1 paper) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (2.2k citations), Cancer Research (326 citations), Genetics (98 citations), Oncology (184 citations) and Immunology (100 citations). John M. Nicoll has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Charles L. Sawyers, Neil P. Shah, RONALD L. PAQUETTE, Mercedes E. Gorre, Bhushan Nagar, John Kuriyan, Eric W. Bleickardt, Claude Nicaise, Moshe Talpaz and Nicholas J. Donato. Their work appears in journals such as Blood, The Journal of Immunology, Cancer Cell, Journal of Clinical Investigation and The Journal of Cell Biology.
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.