Ash Nerurkar

1.7k citations
9 papers · 1.4k · 1 hit paper · h-index 8

Impact in

Papers in

Ash Nerurkar

9 papers receiving 1.3k citations

Ash Nerurkar's Hit Papers

Screening with magnetic resonance imaging and mammography of a UK population at high familial risk of breast cancer: a prospective multicentre cohort study (MARIBS) 2005 · 847 citations
8470+7+14Years since publication250500750

Peers

Ash Nerurkar
Comparison fields: 5 of 39
  • Cancer Research 276
  • Radiology, Nuclear Medicine and Imaging 374
  • Genetics 163
  • Pulmonary and Respiratory Medicine 175
  • Pathology and Forensic Medicine 54
Replace Anna Rotili with:
Anna Rotili Italy
Inge Marie Obdeijn Netherlands
Inge-Marie Obdeijn Netherlands
Preminda Kessar United Kingdom
Ermelinda Bonaccio United States
Nuschin Morakkabati-Spitz Germany
Eun Young Chae South Korea
Heribert B. Bieling Germany
Petrina A. Causer Canada
Cynthia Aparecida Bueno de Toledo Osório Brazil
Ash Nerurkar relative to Anna Rotili Italy Anna Rotili's profile →
Citations per field
00.5×5×10×15×22×
Anna Rotili · 1×
Citations per year

Countries citing papers authored by Ash Nerurkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ash Nerurkar Line = papers co-authored together Ash Nerurkar links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#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 →
2005847
2 2008258
3 2006107
4 2009107
5 201128
6 200726
7 200912
8 20158
9 20183

About Ash Nerurkar

Ash Nerurkar is a scholar working on Cancer Research, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Breast Lesions and Carcinomas (1 paper), Effects of Radiation Exposure (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (276 citations), Radiology, Nuclear Medicine and Imaging (374 citations), Genetics (163 citations), Pulmonary and Respiratory Medicine (175 citations) and Pathology and Forensic Medicine (54 citations). Ash Nerurkar has collaborated with scholars based in United Kingdom, New Zealand and Australia. Frequent co-authors include Adrian K. Dixon, Sue Moss, Ingolf Griebsch, Martin O. Leach, Preminda Kessar, Sunil R. Lakhani, Fiona J. Gilbert, Anwar R. Padhani, Ruth M. L. Warren and Deborah J. Thompson. Their work appears in journals such as Breast Cancer Research and Treatment, The Lancet, British Journal of Radiology, European Radiology and ESMO Open.

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.

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