Ashutosh Nerurkar
Impact in
- Cancer Research top 1%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 2%
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Breast Cancer Treatment Studies 19
- Cancer Genomics and Diagnostics 5
-
- Breast Lesions and Carcinomas 15
- Co-authors
- Ian E. SmithPeter OsinMitch DowsettNicholas C. TurnerIwanka KozarewaRosalind CuttsSarah HrebienGaia Schiavon
- Journals
- Journal of Clinical Oncology (6 papers)Annals of Oncology (4 papers)Breast Cancer Research and Treatment (4 papers)Breast Cancer Research (3 papers)Cancer Research (3 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Ashutosh Nerurkar
42 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 1.6k
- Oncology 1.2k
- Pathology and Forensic Medicine 457
- Pulmonary and Respiratory Medicine 712
- Genetics 320
Countries citing papers authored by Ashutosh Nerurkar
This map shows the geographic impact of Ashutosh 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 Ashutosh Nerurkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashutosh Nerurkar more than expected).
Fields of papers citing papers by Ashutosh Nerurkar
This network shows the impact of papers produced by Ashutosh 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 Ashutosh Nerurkar. The network helps show where Ashutosh Nerurkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashutosh 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 | 2022 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2019 | 1 | |
| 4 | 2017 | 4 | |
| 5 | Mutation tracking in circulating tumor DNA predicts relapse in early breast cancer Hit paper breakdown → | 2015 | 814 |
| 6 | 2014 | 78 | |
| 7 | 2013 | 98 | |
| 8 | 2013 | 15 | |
| 9 | 2012 | 11 | |
| 10 | 2011 | 6 | |
| 11 | 2010 | 103 | |
| 12 | 2009 | 17 | |
| 13 | 2009 | 142 | |
| 14 | 2008 | 180 | |
| 15 | 2004 | 23 | |
| 16 | 2003 | 10 | |
| 17 | 2002 | 1 | |
| 18 | 2001 | 60 | |
| 19 | 2000 | 2 | |
| 20 | 2000 | 5 |
About Ashutosh Nerurkar
Ashutosh Nerurkar is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Dermatology and Genetics, having authored 42 papers that have together received 2.3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (19 papers), Breast Lesions and Carcinomas (15 papers), HER2/EGFR in Cancer Research (6 papers), Cancer Genomics and Diagnostics (5 papers), Breast Implant and Reconstruction (5 papers), BRCA gene mutations in cancer (4 papers), Cancer Diagnosis and Treatment (4 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (1.2k citations), Pathology and Forensic Medicine (457 citations), Pulmonary and Respiratory Medicine (712 citations) and Genetics (320 citations). Ashutosh Nerurkar has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Ian E. Smith, Peter Osin, Mitch Dowsett, Nicholas C. Turner, Iwanka Kozarewa, Rosalind Cutts, Sarah Hrebien, Gaia Schiavon, Isaac García-Murillas and Jorge S. Reis‐Filho. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Breast Cancer Research and Treatment, Breast Cancer Research and 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.