Ananya Arora

2.1k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Ananya Arora is a scholar working on Artificial Intelligence, Surgery and General Health Professions. According to data from OpenAlex, Ananya Arora has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Surgery and 3 papers in General Health Professions. Recurrent topics in Ananya Arora's work include AI in cancer detection (3 papers), Celiac Disease Research and Management (3 papers) and Machine Learning in Healthcare (2 papers). Ananya Arora is often cited by papers focused on AI in cancer detection (3 papers), Celiac Disease Research and Management (3 papers) and Machine Learning in Healthcare (2 papers). Ananya Arora collaborates with scholars based in India, United Kingdom and United States. Ananya Arora's co-authors include Ciarán P. Kelly, Prashant Singh, Tor A. Strand, Govind Makharia, Daniel A. Leffler, Vineet Ahuja, Carlo Catassi, Peter H. Green, Anmol Arora and Markku Mäki and has published in prestigious journals such as Gastroenterology, PLoS ONE and Journal of Clinical Pathology.

In The Last Decade

Ananya Arora

17 papers receiving 1.2k citations

Hit Papers

Global Prevalence of Celiac Disease: Systematic Review an... 2018 2026 2020 2023 2018 250 500 750 1000

Peers

Ananya Arora
Comparison fields: 5 of 117
  • Gastroenterology 936
  • Epidemiology 606
  • Surgery 490
  • Genetics 203
  • Nutrition and Dietetics 166
Replace Min Seob Kwak with:
Min Seob Kwak South Korea
Jesica Makanyanga United Kingdom
Soo‐Kyung Park South Korea
Matteo Martinato Italy
Hyun Joo Song South Korea
Sana Syed United States
Arshdeep Singh India
Santiago Vivas Spain
Sabino Riestra Spain
R Guan Singapore
Min Seob Kwak South Korea View profile →
Citations per field, relative to Ananya Arora
Ananya Arora · 1×
Citations per year, relative to Ananya Arora
Ananya Arora · 1×

Countries citing papers authored by Ananya Arora

Since Specialization
Citations

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

Fields of papers citing papers by Ananya Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ananya Arora

This figure shows the co-authorship network connecting the top 25 collaborators of Ananya Arora. A scholar is included among the top collaborators of Ananya Arora 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 Ananya Arora. Ananya Arora 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 0
2 0
3 0
4 1
5 1
6 1
7 0
8 5
9 10
10 5
11 82
12 20
13 3
14 9
15 1
16
Global Prevalence of Celiac Disease: Systematic Review and Meta-analysis breakdown →
1020
17 25
18 3
19 4
20 4

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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