Arun Gupta

1.6k total citations
26 papers, 515 citations indexed

About

Arun Gupta is a scholar working on Surgery, Oncology and Genetics. According to data from OpenAlex, Arun Gupta has authored 26 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 7 papers in Oncology and 6 papers in Genetics. Recurrent topics in Arun Gupta's work include Diverticular Disease and Complications (10 papers), Anorectal Disease Treatments and Outcomes (7 papers) and Colorectal Cancer Screening and Detection (5 papers). Arun Gupta is often cited by papers focused on Diverticular Disease and Complications (10 papers), Anorectal Disease Treatments and Outcomes (7 papers) and Colorectal Cancer Screening and Detection (5 papers). Arun Gupta collaborates with scholars based in United Kingdom, United States and Australia. Arun Gupta's co-authors include David Burling, Chris Fraser, Stuart A. Taylor, Steve Halligan, Aine Fitzpatrick, Aymer Postgate, Edward J. Despott, Krysia Konieczko, Michelle Marshall and Siew C. Ng and has published in prestigious journals such as Annals of Surgery, Radiology and Gastrointestinal Endoscopy.

In The Last Decade

Arun Gupta

24 papers receiving 500 citations

Peers

Arun Gupta
Comparison fields: 5 of 48
  • Surgery 323
  • Genetics 161
  • Gastroenterology 155
  • Oncology 132
  • Epidemiology 110
Replace Brett M. Young with:
Brett M. Young United States
M. E. R. Williamson United Kingdom
Marco Zoccali United States
Sébastien Godat Switzerland
Jeroen M. Jansen Netherlands
Jami A. Rothe United States
Najwa Al Ansari Italy
Jonathan S. Movson United States
Peter Tagkalidis Australia
Hermano Gouveia Portugal
Brett M. Young United States View profile →
Citations per field, relative to Arun Gupta
Arun Gupta · 1×
Citations per year, relative to Arun Gupta
Arun Gupta · 1×

Countries citing papers authored by Arun Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Arun Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Arun Gupta. A scholar is included among the top collaborators of Arun Gupta 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 Arun Gupta. Arun Gupta 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 2
2 7
3 12
4 4
5 1
6 53
7 9
8 6
9 15
10 2
11 5
12 20
13 0
14
Cystic nephroma: a diagnostic dilemma.
4
15 14
16 44
17 86
18 66
19 48
20 40

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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