Maya Basu

46 papers receiving 567 citations

Peers

Maya Basu
Comparison fields: 5 of 44
  • Rheumatology 415
  • Urology 121
  • Obstetrics and Gynecology 74
  • Cancer Research 10
  • Psychiatry and Mental health 8
Replace Arturo Buonaguidi with:
Arturo Buonaguidi Italy
Paulo Cezar Feldner Brazil
Antti Valpas Finland
Neil D. Jackson United States
Yasukuni Yoshimura Japan
Raquel Martins Arruda Brazil
Barbara Sternfield United States
Olugbenga A. Adekanmi United Kingdom
Marie Westergren Söderberg Sweden
Michelle Koski United States
Maya Basu relative to Arturo Buonaguidi Italy Arturo Buonaguidi's profile →
Citations per field
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Arturo Buonaguidi · 1×
Citations per year

Countries citing papers authored by Maya Basu

Since Specialization
Citations

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

Fields of papers citing papers by Maya Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Maya Basu, 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 Maya Basu Line = papers co-authored together Maya Basu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200943
2 201043
3 200939
4 200338
5 201335
6 200834
7 201033
8 200732
9 201629
10 200728
11 200827
12 200819
13 200118
14 201216
15 200915
16 201312
17 200911
18 201411
19 200710
20 201010

About Maya Basu

Maya Basu is a scholar working on Rheumatology, Urology, Obstetrics and Gynecology, Epidemiology and Pediatrics, Perinatology and Child Health, having authored 52 papers that have together received 603 indexed citations. Recurring topics across this work include Pelvic floor disorders treatments (35 papers), Urinary Bladder and Prostate Research (21 papers), Maternal and Perinatal Health Interventions (4 papers), Urinary Tract Infections Management (2 papers), Gynecological conditions and treatments (1 paper), Maternal and fetal healthcare (1 paper), Carcinogens and Genotoxicity Assessment (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Rheumatology (415 citations), Urology (121 citations), Obstetrics and Gynecology (74 citations), Cancer Research (10 citations) and Psychiatry and Mental health (8 citations). Maya Basu has collaborated with scholars based in United Kingdom. Frequent co-authors include Jonathan Duckett, E.J. Owen, Mark Vella, Vik Khullar, Stergios K. Doumouchtsis, Demetri C. Panayi, Giuseppe Alessandro Digesu, Paul Lawford Carmichael, Jeremy J. Mills and John Caldwell. Their work appears in journals such as International Urogynecology Journal, Neurourology and Urodynamics, BJOG An International Journal of Obstetrics & Gynaecology, European Journal of Obstetrics & Gynecology and Reproductive Biology and International Journal of Gynecology & Obstetrics.

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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