Dipendra K. Aryal

2.1k citations
20 papers · 1.4k indexed · 1 hit paper · h-index 12

Dipendra K. Aryal

20 papers receiving 1.4k citations

Hit Papers

Structure-based discovery of opioid analgesics with reduc...6972016202620192022200400600

Peers

Dipendra K. Aryal
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 753
  • Biological Psychiatry 46
  • Endocrine and Autonomic Systems 84
  • Behavioral Neuroscience 43
  • Molecular Biology 820
Replace Subbu Apparsundaram with:
Subbu Apparsundaram United States
Stefano Espinoza Italy
Petra Scholze Austria
Valentina Ghisi United States
Mikako Sakurai Japan
Nathalie Strutz‐Seebohm Germany
Kevin Erreger United States
Ping Zhu United States
David G. Trist Italy
Richard L. Kraus United States
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Citations per field
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Subbu Apparsundaram · 1×
Citations per year

Countries citing papers authored by Dipendra K. Aryal

Since Specialization
Citations

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

Fields of papers citing papers by Dipendra K. Aryal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20226
3 20222
4 20224
5 201714
6 201721
7 201610
8
Structure-based discovery of opioid analgesics with reduced side effectsbreakdown →
2016697
9 2016144
10 2016102
11 201597
12 2015107
13 201465
14 201319
15 201365
16 20126
17 201128
18 200820
19
Effects of R. Glutinosa and E. Senticosus on Postmenopausal Osteoporosis
20074
20 20069

About Dipendra K. Aryal

Dipendra K. Aryal is a scholar working on Aging, Behavioral Neuroscience and Endocrine and Autonomic Systems, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Stress Responses and Cortisol (2 papers), Adipose Tissue and Metabolism (2 papers), Neuropeptides and Animal Physiology (2 papers), Pain Management and Opioid Use (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (753 citations), Biological Psychiatry (46 citations) and Endocrine and Autonomic Systems (84 citations). Dipendra K. Aryal has collaborated with scholars based in United States, South Korea and Bulgaria. Frequent co-authors include Bryan L. Roth, William C. Wetsel, Harald Hübner, Anat Levit, Da Duan, Viachaslau Bernat, Philippe Giguère, Brian K. Kobilka, Peter Gmeiner and Ralf C. Kling. Their work appears in journals such as Neuropsychopharmacology, Proceedings of the National Academy of Sciences, Journal of Pharmaceutical Sciences, Investigational New Drugs and Nitric Oxide.

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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