Ash Nerurkar
Impact in
- Cancer Research top 5%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Breast Cancer Treatment Studies 4
- Oncology 3
- HER2/EGFR in Cancer Research 1
- Global Cancer Incidence and Screening 1
- Cancer Diagnosis and Treatment 1
- Co-authors
- Ingolf Griebsch (1 shared paper)Caroline R. M. Boggis (1 shared paper)Deborah J. Thompson (1 shared paper)Fiona J. Gilbert (1 shared paper)Anwar R. Padhani (1 shared paper)Adrian K. Dixon (1 shared paper)Douglas F. Easton (1 shared paper)Martin O. Leach (1 shared paper)
- Journals
- Breast Cancer Research and Treatment (2 papers)The Lancet (1 paper)British Journal of Cancer (1 paper)Journal of Clinical Pathology (1 paper)Breast Cancer Research (1 paper)
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
Ash Nerurkar
8 papers receiving 1.3k citations
Ash Nerurkar's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 478
- Radiology, Nuclear Medicine and Imaging 414
- Pathology and Forensic Medicine 297
- Oncology 347
- Genetics 299
Countries citing papers authored by Ash Nerurkar
This map shows the geographic impact of Ash Nerurkar'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 Ash Nerurkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ash Nerurkar more than expected).
Fields of papers citing papers by Ash Nerurkar
This network shows the impact of papers produced by Ash Nerurkar. 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 Ash Nerurkar. The network helps show where Ash Nerurkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ash Nerurkar, 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 | Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS) Hit paper breakdown → | 2005 | 850 |
| 2 | 2008 | 257 | |
| 3 | 2009 | 107 | |
| 4 | 2006 | 107 | |
| 5 | 2007 | 26 | |
| 6 | 2009 | 12 | |
| 7 | 2015 | 8 | |
| 8 | 2018 | 2 |
About Ash Nerurkar
Ash Nerurkar is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Gastroenterology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (4 papers), Breast Lesions and Carcinomas (2 papers), MRI in cancer diagnosis (1 paper), BRCA gene mutations in cancer (1 paper), HER2/EGFR in Cancer Research (1 paper), Global Cancer Incidence and Screening (1 paper), Salivary Gland Tumors Diagnosis and Treatment (1 paper) and Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (478 citations), Radiology, Nuclear Medicine and Imaging (414 citations), Pathology and Forensic Medicine (297 citations), Oncology (347 citations) and Genetics (299 citations). Ash Nerurkar has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Ingolf Griebsch, Caroline R. M. Boggis, Deborah J. Thompson, Fiona J. Gilbert, Anwar R. Padhani, Adrian K. Dixon, Douglas F. Easton, Martin O. Leach, Preminda Kessar and Sunil R. Lakhani. Their work appears in journals such as Breast Cancer Research and Treatment, The Lancet, British Journal of Cancer, Journal of Clinical Pathology and Breast Cancer Research.
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.