Usha Menon

40.1k total citations
305 papers, 10.6k citations indexed

About

Usha Menon is a scholar working on Reproductive Medicine, Oncology and Genetics. According to data from OpenAlex, Usha Menon has authored 305 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Reproductive Medicine, 100 papers in Oncology and 82 papers in Genetics. Recurrent topics in Usha Menon's work include Ovarian cancer diagnosis and treatment (124 papers), BRCA gene mutations in cancer (64 papers) and Global Cancer Incidence and Screening (54 papers). Usha Menon is often cited by papers focused on Ovarian cancer diagnosis and treatment (124 papers), BRCA gene mutations in cancer (64 papers) and Global Cancer Incidence and Screening (54 papers). Usha Menon collaborates with scholars based in United Kingdom, United States and Australia. Usha Menon's co-authors include Ian Jacobs, Aleksandra Gentry‐Maharaj, Victoria L. Champion, Celette Sugg Skinner, Steven J. Skates, Ranjit Manchanda, Andy Ryan, Matthew Burnell, Adam N. Rosenthal and John F. Timms and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Usha Menon

295 papers receiving 10.3k citations

Peers

Usha Menon
Comparison fields: 5 of 195
  • Oncology 3.2k
  • Reproductive Medicine 3.0k
  • Molecular Biology 2.6k
  • Genetics 2.1k
  • Cancer Research 1.7k
Replace Carolyn D. Runowicz with:
Carolyn D. Runowicz United States
Richard T. Penson United States
Edward E. Partridge United States
Michael Quinn Australia
Daniel W. Cramer United States
Nicole Urban United States
Timothy R. Rebbeck United States
Diane C. Bodurka United States
R. Kreienberg Germany
Phyllis A. Wingo United States
Carolyn D. Runowicz United States View profile →
Citations per field, relative to Usha Menon
Usha Menon · 1×
Citations per year, relative to Usha Menon
Usha Menon · 1×

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-authorship network of co-authors of Usha Menon

This figure shows the co-authorship network connecting the top 25 collaborators of Usha Menon. A scholar is included among the top collaborators of Usha Menon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Usha Menon. Usha Menon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 37
2 1
3 0
4 5
5 3
6 3
7 5
8 23
9 22
10 23
11 39
12 44
13 23
14 71
15 147
16 34
17
Population based testing for high-penetrance dominant gene mutations: initial results from the pilot phase of GCaPPS
2
18 1
19
Development and identification of tumour markers.
1
20
Factors influencing serum CA125II levels in healthy postmenopausal women.
97

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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