Dinesh Dhingra

3.3k citations
85 papers · 2.8k · h-index 32

Impact in

Papers in

Dinesh Dhingra

80 papers receiving 2.5k citations

Peers

Dinesh Dhingra
Comparison fields: 5 of 118
  • Complementary and alternative medicine 946
  • Biological Psychiatry 243
  • Pharmacology 552
  • Behavioral Neuroscience 142
  • Molecular Medicine 128
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Alexander Panossian Sweden
Chandishwar Nath India
Veronika Butterweck United States
Siu‐Po Ip Hong Kong
Glauce Socorro de Barros Viana Brazil
Mehrdad Roghani Iran
Márcia María de Souza Brazil
Maribel Antonello Rubin Brazil
Ki‐Wan Oh South Korea
Omar M. E. Abdel‐Salam Egypt
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Citations per field
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Citations per year

Countries citing papers authored by Dinesh Dhingra

Since Specialization
Citations

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

Fields of papers citing papers by Dinesh Dhingra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004240
2 2006154
3 2003133
4 201199
5 201695
6 201895
7 200493
8 201292
9 201792
10 201282
11 201073
12 200672
13 200666
14 201457
15 201257
16
Inhibition of MAO and GABA: probable mechanisms for antidepressant-like activity of Nardostachys jatamansi DC. in mice.
200857
17 200856
18 201553
19 201151
20 201951

About Dinesh Dhingra

Dinesh Dhingra is a scholar working on Complementary and alternative medicine, Pharmacology, Plant Science, Pharmacology and Biological Psychiatry, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (15 papers), Medicinal Plants and Neuroprotection (14 papers), Tryptophan and brain disorders (13 papers), Stress Responses and Cortisol (12 papers), Berberine and alkaloids research (7 papers), Biochemical effects in animals (6 papers), Neuroendocrine regulation and behavior (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Complementary and alternative medicine (946 citations), Biological Psychiatry (243 citations), Pharmacology (552 citations), Behavioral Neuroscience (142 citations) and Molecular Medicine (128 citations). Dinesh Dhingra has collaborated with scholars based in India, South Korea and Pakistan. Frequent co-authors include Milind Parle, Amandeep Sharma, Neeraj Gilhotra, S. K. Kulkarni, Neeraj Dilbaghi, Sandeep Kumar, Ruma Rani, Shakti Dahiya, Parveen Kumar Goyal and Ki‐Hyun Kim. Their work appears in journals such as Pharmacological Reports, Carbohydrate Polymer Technologies and Applications, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Indian Journal of Pharmaceutical Sciences and Journal of Pharmacological Sciences.

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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