A Nerurkar

1.7k citations
7 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

A Nerurkar

7 papers receiving 1.1k citations

A 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 · 767 citations
7670+7+14Years since publication250500750

Peers

A Nerurkar
Comparison fields: 5 of 61
  • Cancer Research 412
  • Radiology, Nuclear Medicine and Imaging 343
  • Pathology and Forensic Medicine 236
  • Oncology 287
  • Genetics 233
Replace Inge Marie Obdeijn with:
Inge Marie Obdeijn Netherlands
Petrina A. Causer Canada
Vania Vezzosi Italy
Nola Hylton United States
Corrado Tinterri Italy
Tracey Weisberg United States
Cynthia Aparecida Bueno de Toledo Osório Brazil
Christian Öhlschlegel Switzerland
Heribert Bieling Germany
R. Schulz-Wendtland Germany
A Nerurkar relative to Inge Marie Obdeijn Netherlands Inge Marie Obdeijn's profile →
Citations per field
00.5×1.5×
Inge Marie Obdeijn · 1×
Citations per year

Countries citing papers authored by A Nerurkar

Since Specialization
Citations

This map shows the geographic impact of A 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 A Nerurkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Nerurkar more than expected).

Fields of papers citing papers by A Nerurkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A 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 A Nerurkar. The network helps show where A Nerurkar may publish in the future.

Co-authors

The 25 scholars most cited alongside A 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 A Nerurkar Line = papers co-authored together A Nerurkar links everyone, so they are left out of the graph.

All Works

7 of 7 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 →
2005767
2 2008234
3 200998
4 200725
5 200910
6 20157
7 20171

About A Nerurkar

A Nerurkar is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Breast Lesions and Carcinomas (2 papers), Cancer Genomics and Diagnostics (1 paper), Gastrointestinal Tumor Research and Treatment (1 paper), MRI in cancer diagnosis (1 paper), BRCA gene mutations in cancer (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Cancer Research (412 citations), Radiology, Nuclear Medicine and Imaging (343 citations), Pathology and Forensic Medicine (236 citations), Oncology (287 citations) and Genetics (233 citations). A Nerurkar has collaborated with scholars based in United Kingdom, Portugal and New Zealand. Frequent co-authors include Rosalind A. Eeles, Preminda Kessar, Caroline Boggis, Ruth Warren, Sue Moss, Linda Pointon, Sunil R. Lakhani, Martin O. Leach, Anwar R. Padhani and D. Gareth Evans. Their work appears in journals such as Breast Cancer Research and Treatment, Journal of Clinical Pathology, Cancer Research, Breast Cancer Research and British Journal of Radiology.

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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