Dhananjay Gupta

1.2k citations
39 papers · 952 · h-index 15

Impact in

Papers in

Dhananjay Gupta

35 papers receiving 885 citations

Peers

Dhananjay Gupta
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 442
  • Biochemistry 48
  • Clinical Biochemistry 50
  • Surgery 298
  • Complementary and alternative medicine 53
Replace Marisa Jádna Silva Frederico with:
Marisa Jádna Silva Frederico Brazil
Pei‐Min Chao Taiwan
Taku Uemura Japan
Keiichiro Tanigawa Japan
Marilene Porawski Brazil
Glen S. Patten Australia
Sara K. Swanston-Flatt United Kingdom
Yu-Jin Hwang South Korea
Lalit Kishore India
Shyh‐Hsiang Lin Taiwan
Dhananjay Gupta relative to Marisa Jádna Silva Frederico Brazil Marisa Jádna Silva Frederico's profile →
Citations per field
00.5×2.9×
Marisa Jádna Silva Frederico · 1×
Citations per year

Countries citing papers authored by Dhananjay Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Dhananjay Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001227
2 199997
3
Modulation of some gluconeogenic enzyme activities in diabetic rat liver and kidney: effect of antidiabetic compounds.
199969
4 201068
5 200664
6 200859
7 201753
8 200946
9 201041
10 201034
11 201324
12 201821
13 201620
14 201520
15 197220
16 197014
17 201910
18 20229
19 20208
20 20217

About Dhananjay Gupta

Dhananjay Gupta is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Neurology and Epidemiology, having authored 39 papers that have together received 952 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Diet, Metabolism, and Disease (5 papers), Diabetes and associated disorders (4 papers), Diabetes Treatment and Management (4 papers), Cerebral Venous Sinus Thrombosis (4 papers), Glaucoma and retinal disorders (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (442 citations), Biochemistry (48 citations), Clinical Biochemistry (50 citations), Surgery (298 citations) and Complementary and alternative medicine (53 citations). Dhananjay Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jayadev Raju, Najma Zaheer Baquer, Thomas L. Jetton, Pramod Kumar Yadava, A.R. Rao, Jack L. Leahy, Mina Peshavaria, Tatsuyoshi Kono, N. Baquer and Carmella Evans‐Molina. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Chemical Engineering and Processing - Process Intensification, Neurology and Obesity.

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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