Rupali Arora

1.5k citations
32 papers · 400 · h-index 12

Impact in

Papers in

Rupali Arora

30 papers receiving 394 citations

Peers

Rupali Arora
Comparison fields: 5 of 67
  • Reproductive Medicine 148
  • Obstetrics and Gynecology 92
  • Cancer Research 69
  • Epidemiology 65
  • Oncology 38
Replace Hongbo Sun with:
Hongbo Sun China
Aine Clements United States
RMC Busby-Earle United Kingdom
Kumio Yamamoto Japan
Sima Kadkhodayan Iran
Marc P.L.M. Snijders Netherlands
Bent Fiane Norway
Anna Dańska-Bidzińska Poland
Kjell Løvslett Norway
C F de Oliveira Portugal
Rupali Arora relative to Hongbo Sun China Hongbo Sun's profile →
Citations per field
00.5×
Hongbo Sun · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201558
2 201654
3 200948
4 202029
5 202329
6 201619
7 201519
8 202019
9 201919
10 202315
11 202014
12 201013
13 201711
14 201010
15 20239
16 20227
17 20227
18 20245
19 20242
20 20232

About Rupali Arora

Rupali Arora is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Molecular Biology, Surgery and Oncology, having authored 32 papers that have together received 400 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (12 papers), Endometrial and Cervical Cancer Treatments (6 papers), Urologic and reproductive health conditions (3 papers), Cervical Cancer and HPV Research (3 papers), Molecular Biology Techniques and Applications (3 papers), Testicular diseases and treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Gynecological conditions and treatments (3 papers). The work is most often cited by research in Reproductive Medicine (148 citations), Obstetrics and Gynecology (92 citations), Cancer Research (69 citations), Epidemiology (65 citations) and Oncology (38 citations). Rupali Arora has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Martin Widschwendter, Usha Menon, Allison Jones, Louis Dubeau, D. Jurkovic, Daniel Reisel, Jaspreet Kaur, Thomas E. Bartlett, Wim Quint and Charles E. Breeze. Their work appears in journals such as International Journal of Gynecological Pathology, International Journal of Cancer, International Journal of Gynecological Cancer, The Lancet Oncology 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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