Deepak Chandra

44 papers receiving 1.0k citations

Peers

Deepak Chandra
Comparison fields: 5 of 110
  • Complementary and alternative medicine 101
  • Cell Biology 213
  • Endocrinology, Diabetes and Metabolism 184
  • Clinical Biochemistry 76
  • Biochemistry 62
Replace Sergio López with:
Sergio López Spain
Natasha Jaiswal India
Deepak Kumar India
Joaquín Carlos Surra Spain
Huan Jiang China
Xiaolan Lu China
Dae‐Geun Song South Korea
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Sung‐Tae Yee South Korea
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Countries citing papers authored by Deepak Chandra

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Chandra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008134
2 2013102
3 200293
4 200374
5 200269
6 200956
7
Anti-hyperglycemic and anti-oxidative effect of aqueous extract of Momordica charantia pulp and Trigonella foenum graecum seed in alloxan-induced diabetic rats.
201048
8
Inhibition of fiber cell globulization and hyperglycemia-induced lens opacification by aminopeptidase inhibitor bestatin.
200243
9 201535
10 200131
11 201029
12 200329
13 201725
14 201024
15 200423
16
Phytochemicals of Acorus calamus (Sweet flag)
201723
17 201023
18 201719
19 200119
20 200319

About Deepak Chandra

Deepak Chandra is a scholar working on Cell Biology, Clinical Biochemistry, Molecular Biology, Complementary and alternative medicine and Physiology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (10 papers), Nitric Oxide and Endothelin Effects (6 papers), Heme Oxygenase-1 and Carbon Monoxide (6 papers), Essential Oils and Antimicrobial Activity (4 papers), Advanced Glycation End Products research (4 papers), Natural Antidiabetic Agents Studies (4 papers), Psidium guajava Extracts and Applications (3 papers) and Medicinal Plants and Neuroprotection (3 papers). The work is most often cited by research in Complementary and alternative medicine (101 citations), Cell Biology (213 citations), Endocrinology, Diabetes and Metabolism (184 citations), Clinical Biochemistry (76 citations) and Biochemistry (62 citations). Deepak Chandra has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Kota V. Ramana, Aruni Bhatnagar, Satish Kumar Srivastava, Shalini Srivastava, Sanjay Kumar Srivastava, Kundan Prasad, Aditya Bhushan Pant, Mahendra Pratap Kashyap, Sanjay Yadav and Gaurav Singh. Their work appears in journals such as Chemico-Biological Interactions, Microbiology, Biochemical Journal, Infectious Disorders - Drug Targets and Journal of the Science of Food and Agriculture.

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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