Nathan Fowler
Impact in
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 0.1%
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 125
- Chronic Lymphocytic Leukemia Research 121
-
- Lymphoma Diagnosis and Treatment 191
- Co-authors
- Chan Y. CheahJohn G. GribbenLuis FayadThomas E. BoydFranck MorschhauserSonali M. SmithSattva S. NeelapuRanjana H. Advani
- Journals
- Blood (78 papers)Journal of Clinical Oncology (54 papers)British Journal of Haematology (15 papers)Hematological Oncology (12 papers)Annals of Oncology (7 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Nathan Fowler
246 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 2.5k
- Pathology and Forensic Medicine 3.6k
- Oncology 2.9k
- Immunology 1.2k
- Hematology 607
Countries citing papers authored by Nathan Fowler
This map shows the geographic impact of Nathan Fowler'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 Nathan Fowler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Fowler more than expected).
Fields of papers citing papers by Nathan Fowler
This network shows the impact of papers produced by Nathan Fowler. 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 Nathan Fowler. The network helps show where Nathan Fowler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathan Fowler, 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 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 7 | |
| 5 | 2022 | 26 | |
| 6 | Conserved pan-cancer microenvironment subtypes predict response to immunotherapy Hit paper breakdown → | 2021 | 700 |
| 7 | 2021 | 4 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 64 | |
| 11 | 2018 | 46 | |
| 12 | 2018 | 5 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 14 | |
| 16 | 2015 | 68 | |
| 17 | 2015 | 231 | |
| 18 | 2014 | 19 | |
| 19 | Bruton Tyrosine Kinase Inhibitor Ibrutinib (PCI-32765) Has Significant Activity in Patients With Relapsed/Refractory B-Cell Malignancies Hit paper breakdown → | 2012 | 848 |
| 20 | 2010 | 170 |
About Nathan Fowler
Nathan Fowler is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Hematology and Neurology, having authored 267 papers that have together received 5.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (191 papers), Chronic Lymphocytic Leukemia Research (121 papers), Viral-associated cancers and disorders (65 papers), CAR-T cell therapy research (49 papers), CNS Lymphoma Diagnosis and Treatment (30 papers), Cancer Genomics and Diagnostics (20 papers), Immune Cell Function and Interaction (15 papers) and Cancer Immunotherapy and Biomarkers (14 papers). The work is most often cited by research in Genetics (2.5k citations), Pathology and Forensic Medicine (3.6k citations), Oncology (2.9k citations), Immunology (1.2k citations) and Hematology (607 citations). Nathan Fowler has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Chan Y. Cheah, John G. Gribben, Luis Fayad, Thomas E. Boyd, Franck Morschhauser, Sonali M. Smith, Sattva S. Neelapu, Ranjana H. Advani, Jeff P. Sharman and Richard R. Furman. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Hematological Oncology and Annals of 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.