Leena Gupta

71 papers receiving 1.2k citations

Peers

Leena Gupta
Comparison fields: 5 of 137
  • Medical Terminology 4
  • Organic Chemistry 352
  • Health 83
  • Endocrinology, Diabetes and Metabolism 158
  • Public Health, Environmental and Occupational Health 257
Replace Sameer Dhingra with:
Sameer Dhingra India
Wenxin Yan China
Sojib Bin Zaman Bangladesh
Marco Villa Italy
Guido François Belgium
Merlin Willcox United Kingdom
Jane Achan Uganda
Elaine W. Flagg United States
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John Hsu United States
Leena Gupta relative to Sameer Dhingra India Sameer Dhingra's profile →
Citations per field
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Sameer Dhingra · 1×
Citations per year

Countries citing papers authored by Leena Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Leena Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 199789
3 199785
4 201171
5 200869
6 201064
7 201054
8 201052
9
Elevated risk of type 2 diabetes and metabolic syndrome among Asians and south Asians: results from the 2004 New York City HANES.
201047
10 200742
11 201335
12 200734
13 200628
14 199726
15 201824
16 200524
17 199724
18 201023
19 201623
20 202122

About Leena Gupta

Leena Gupta is a scholar working on General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health, Infectious Diseases and Health, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Health disparities and outcomes (7 papers), COVID-19 epidemiological studies (7 papers), Synthesis and Characterization of Heterocyclic Compounds (6 papers), Emergency and Acute Care Studies (5 papers), Hepatitis C virus research (5 papers), Viral gastroenteritis research and epidemiology (5 papers) and Clinical practice guidelines implementation (5 papers). The work is most often cited by research in Medical Terminology (4 citations), Organic Chemistry (352 citations), Health (83 citations), Endocrinology, Diabetes and Metabolism (158 citations) and Public Health, Environmental and Occupational Health (257 citations). Leena Gupta has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Prem M. S. Chauhan, Jeanette Ward, David J. Handelsman, Robert Hayward, Sharon E. Perlman, Naresh Sunduru, Charles Wu, Kumkum Srivastava, Shubhra Singh and Sudhir Sinha. Their work appears in journals such as The Medical Journal of Australia, Australian and New Zealand Journal of Public Health, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters and JMIR Public Health and Surveillance.

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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