Anu Mahadevan

3.0k citations
59 papers · 2.4k indexed · h-index 30

Anu Mahadevan

59 papers receiving 2.3k citations

Peers

Anu Mahadevan
Comparison fields: 5 of 100
  • Pharmacology 1.8k
  • Toxicology 223
  • Cellular and Molecular Neuroscience 878
  • Endocrine and Autonomic Systems 162
  • Biological Psychiatry 51
Replace Michele K. McKinney with:
Michele K. McKinney United States
Jacqueline L. Blankman United States
Marco Allarà Italy
Martin Kaczocha United States
Thomas Elebring Sweden
Michael H. Bracey United States
Dow P. Hurst United States
Lamont Booker United States
Juha R. Savinainen Finland
Francis Barth France
Anu Mahadevan relative to Michele K. McKinney United States Michele K. McKinney's profile →
Citations per field
00.5×1.5×
Michele K. McKinney · 1×
Citations per year

Countries citing papers authored by Anu Mahadevan

Since Specialization
Citations

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

Fields of papers citing papers by Anu Mahadevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20233
3 20208
4 2012192
5 201211
6 201211
7 201173
8 200940
9 200836
10 20076
11 200712
12 2007235
13 2006106
14 200626
15 200510
16 200540
17 200462
18 200248
19 200274
20 20027

About Anu Mahadevan

Anu Mahadevan is a scholar working on Toxicology, Pharmacology and Endocrine and Autonomic Systems, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (40 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Forensic Toxicology and Drug Analysis (9 papers), Neuroscience of respiration and sleep (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Sleep and Wakefulness Research (8 papers), Diet, Metabolism, and Disease (7 papers) and GABA and Rice Research (7 papers). The work is most often cited by research in Pharmacology (1.8k citations), Toxicology (223 citations) and Cellular and Molecular Neuroscience (878 citations). Anu Mahadevan has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Raj K. Razdan, Billy R. Martin, Jenny L. Wiley, Aron H. Lichtman, Vincenzo Di Marzo, P. L. Fuchs, Bijali Saha, Tiziana Bisogno, Roger G. Pertwee and James J. Burston. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology, Journal of the American Chemical Society, Tetrahedron Letters and European Journal of Pharmacology.

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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