Arvind Gupta

3.9k citations
61 papers · 1.7k · h-index 20

Impact in

Papers in

Arvind Gupta

56 papers receiving 1.6k citations

Peers

Arvind Gupta
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 453
  • Infectious Diseases 353
  • Epidemiology 342
  • Nephrology 65
  • Periodontics 41
Replace Judith A. O’Brien with:
Judith A. O’Brien Canada
Stephen R. Benoit United States
Guglielmo M. Trovato Italy
Bruno Caramelli Brazil
Alicja Dębska‐Ślizień Poland
Jan René Nkeck Cameroon
S K Chew Singapore
Yoshinori Noguchi Japan
Jens‐Ulrik Stæhr Jensen Denmark
Ki‐Suck Jung South Korea
Arvind Gupta relative to Judith A. O’Brien Canada Judith A. O’Brien's profile →
Citations per field
00.5×
Judith A. O’Brien · 1×
Citations per year

Countries citing papers authored by Arvind Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Arvind Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004232
2 2006192
3 2003185
4 2012107
5 2012103
6 200677
7 200774
8 202173
9 200869
10 201267
11 201466
12 201259
13 201453
14
Persistent high prevalence of cardiovascular risk factors in the urban middle class in India: Jaipur Heart Watch-5.
201251
15 201441
16 201440
17 201038
18 200823
19 202221
20 201520

About Arvind Gupta

Arvind Gupta is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Infectious Diseases, Surgery and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Chronic Kidney Disease and Diabetes (3 papers), Blood Pressure and Hypertension Studies (3 papers), Infectious Diseases and Tuberculosis (3 papers), Diabetes Management and Research (3 papers), Antimicrobial Peptides and Activities (3 papers), Diabetes Treatment and Management (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (453 citations), Infectious Diseases (353 citations), Epidemiology (342 citations), Nephrology (65 citations) and Periodontics (41 citations). Arvind Gupta has collaborated with scholars based in India, United States and Thailand. Frequent co-authors include Rajeev Gupta, Shweta Rastogi, Kunal Kothari, Prakash Deedwania, Raja Babu Panwar, Vijay Prakash Gupta, B.K. Thelma, Rajeev Gupta, A.C. Ammini and Pushplata Prasad Singh. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal of the Neurological Sciences, BMC Genetics, International Journal of Cardiology and PLoS ONE.

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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