Sunil K. Gupta

1.7k citations
50 papers · 1.3k · h-index 19

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Plant Stress Responses and Tolerance
    • Plant responses to elevated CO2

Papers in

Sunil K. Gupta

49 papers receiving 1.3k citations

Peers

Sunil K. Gupta
Comparison fields: 5 of 116
  • Nephrology 104
  • Plant Science 296
  • Molecular Biology 543
  • Developmental Neuroscience 25
  • Urology 36
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Sunil K. Gupta relative to Jianzhong Wang China Jianzhong Wang's profile →
Citations per field
00.5×6.3×
Jianzhong Wang · 1×
Citations per year

Countries citing papers authored by Sunil K. Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Sunil K. Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000251
2 2005129
3 2004104
4 201795
5 200286
6 200250
7 198849
8 201844
9 201643
10
Identification of alpha 1-adrenergic receptor subtypes in human corpus cavernosum tissue and in cultured trabecular smooth muscle cells.
199538
11 199931
12 200128
13 201725
14 202023
15 199323
16 201723
17 199722
18 199221
19 200320
20 198317

About Sunil K. Gupta

Sunil K. Gupta is a scholar working on Plant Science, Molecular Biology, Pulmonary and Respiratory Medicine, Atmospheric Science and Surgery, having authored 50 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant responses to elevated CO2 (9 papers), Atmospheric chemistry and aerosols (8 papers), Plant Stress Responses and Tolerance (7 papers), Nerve injury and regeneration (4 papers), Gallbladder and Bile Duct Disorders (3 papers), Tuberculosis Research and Epidemiology (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Nephrology (104 citations), Plant Science (296 citations), Molecular Biology (543 citations), Developmental Neuroscience (25 citations) and Urology (36 citations). Sunil K. Gupta has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Hugh R. Brady, Michael Clarkson, Joseph Duggan, Vivek Pandey, Farah Deeba, Baisakhi Majumder, Marie M. Zhu, Douglas Rank, Steven Lee and Afroz Alam. Their work appears in journals such as Tissue and Cell, Cellular Immunology, Chemosphere, Seminars in Oncology and Plant Physiology and Biochemistry.

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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