Rupali Arora

1.5k citations
30 papers · 358 · h-index 12

Impact in

Papers in

Rupali Arora

27 papers receiving 355 citations

Peers

Rupali Arora
Comparison fields: 5 of 61
  • Reproductive Medicine 150
  • Obstetrics and Gynecology 103
  • Cancer Research 71
  • Epidemiology 75
  • Oncology 47
Replace Narges Izadi‐Mood with:
Narges Izadi‐Mood Iran
Richard Hadwin United Kingdom
Hongbo Sun China
Pamela Stone United States
Sima Kadkhodayan Iran
Anna Dańska-Bidzińska Poland
Nathalie Reesink‐Peters Netherlands
Bent Fiane Norway
Luis Z. Blanco United States
Percy C.K. Tsang Hong Kong
Rupali Arora relative to Narges Izadi‐Mood Iran Narges Izadi‐Mood's profile →
Citations per field
00.5×4.8×
Narges Izadi‐Mood · 1×
Citations per year

Countries citing papers authored by Rupali Arora

Since Specialization
Citations

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

Fields of papers citing papers by Rupali Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201651
3 200945
4 202026
5 202324
6 202019
7 201919
8 201618
9 201518
10 202313
11 201012
12 202012
13 20179
14 20227
15 20227
16 20106
17 20243
18 20232
19 20232
20 20241

About Rupali Arora

Rupali Arora is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Molecular Biology, Surgery and Cancer Research, having authored 30 papers that have together received 358 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (13 papers), Endometrial and Cervical Cancer Treatments (10 papers), Uterine Myomas and Treatments (6 papers), Epigenetics and DNA Methylation (3 papers), Molecular Biology Techniques and Applications (3 papers), Testicular diseases and treatments (3 papers), Cervical Cancer and HPV Research (3 papers) and Gynecological conditions and treatments (2 papers). The work is most often cited by research in Reproductive Medicine (150 citations), Obstetrics and Gynecology (103 citations), Cancer Research (71 citations), Epidemiology (75 citations) and Oncology (47 citations). Rupali Arora has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Martin Widschwendter, Allison Jones, Usha Menon, D. Jurkovic, Louis Dubeau, Daniel Reisel, Charles E. Breeze, Wim Quint, Yasmina Soneji and Zhonglin Wu. Their work appears in journals such as International Journal of Gynecological Pathology, International Journal of Cancer, The Lancet Oncology, International Journal of Gynecological Cancer and Molecular Cancer Therapeutics.

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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