Usha Menon

40.1k citations
470 papers · 27.6k · 16 hit papers · h-index 76

Impact in

    • Ovarian cancer diagnosis and treatment
    • Endometriosis Research and Treatment
  • Genetics top 0.2%
    • BRCA gene mutations in cancer
    • Genetic Associations and Epidemiology

Papers in

    • Ovarian cancer diagnosis and treatment 257
    • BRCA gene mutations in cancer 134
    • Genetic Associations and Epidemiology 50

Usha Menon

454 papers receiving 26.8k citations

Usha Menon's Hit Papers

Screening and prevention of ovarian cancer 2024 · 67 citations
670+5+10Years since publication2505007501k

Peers

Usha Menon
Comparison fields: 5 of 192
  • Reproductive Medicine 9.8k
  • Genetics 7.1k
  • Oncology 3.3k
  • Cancer Research 1.8k
  • Obstetrics and Gynecology 650
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Usha Menon relative to Daniel William Cramer United States Daniel William Cramer's profile →
Citations per field
00.5×1.5×2.0×
Daniel William Cramer · 1×
Citations per year

Countries citing papers authored by Usha Menon

Since Specialization
Citations

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

Fields of papers citing papers by Usha Menon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 470 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rethinking ovarian cancer: recommendations for improving outcomes
Hit paper breakdown →
20111046
2
Association analysis identifies 65 new breast cancer risk loci
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20171040
3
Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer
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2015927
4
Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk
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2015859
5
Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial
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2015794
6
Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes
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2018775
7
Association between endometriosis and risk of histological subtypes of ovarian cancer: a pooled analysis of case–control studies
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2012748
8
Sensitivity and specificity of multimodal and ultrasound screening for ovarian cancer, and stage distribution of detected cancers: results of the prevalence screen of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS)
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2009660
9
Ovarian cancer population screening and mortality after long-term follow-up in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial
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2021500
10
Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer
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2013468
11 1999444
12 2005418
13 2003411
14 2004372
15
Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer
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2017368
16
Hormone-receptor expression and ovarian cancer survival: an Ovarian Tumor Tissue Analysis consortium study
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2013357
17
Germline Mutations in the BRIP1, BARD1, PALB2, and NBN Genes in Women With Ovarian Cancer
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2015349
18
Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
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2020321
19
Dose-Response Association of CD8 + Tumor-Infiltrating Lymphocytes and Survival Time in High-Grade Serous Ovarian Cancer
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2017318
20 2013299

About Usha Menon

Usha Menon is a scholar working on Reproductive Medicine, Genetics, Oncology, Obstetrics and Gynecology and Cancer Research, having authored 470 papers that have together received 27.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (257 papers), BRCA gene mutations in cancer (134 papers), Genetic Associations and Epidemiology (50 papers), Global Cancer Incidence and Screening (25 papers), Cancer Risks and Factors (24 papers), Women's cancer prevention and management (15 papers), Menopause: Health Impacts and Treatments (11 papers) and Endometrial and Cervical Cancer Treatments (9 papers). The work is most often cited by research in Reproductive Medicine (9.8k citations), Genetics (7.1k citations), Oncology (3.3k citations), Cancer Research (1.8k citations) and Obstetrics and Gynecology (650 citations). Usha Menon has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ian J. Jacobs, Aleksandra Gentry‐Maharaj, Ranjit Manchanda, Steven J. Skates, Adam N. Rosenthal, Andy Ryan, Matthew Burnell, Martin Widschwendter, John F. Timms and Anne Lanceley. Their work appears in journals such as British Journal of Cancer, International Journal of Gynecological Cancer, BJOG An International Journal of Obstetrics & Gynaecology, Cancer Epidemiology Biomarkers & Prevention and Gynecologic 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.

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