Suneet Mehrotra

875 total citations
32 papers, 704 citations indexed

About

Suneet Mehrotra is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Suneet Mehrotra has authored 32 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Psychiatry and Mental health. Recurrent topics in Suneet Mehrotra's work include Migraine and Headache Studies (10 papers), Trigeminal Neuralgia and Treatments (7 papers) and Neuropeptides and Animal Physiology (6 papers). Suneet Mehrotra is often cited by papers focused on Migraine and Headache Studies (10 papers), Trigeminal Neuralgia and Treatments (7 papers) and Neuropeptides and Animal Physiology (6 papers). Suneet Mehrotra collaborates with scholars based in United States, Netherlands and Mexico. Suneet Mehrotra's co-authors include Antoinette MaassenVanDenBrink, Carlos M. Villalón, Pramod R. Saxena, Saurabh Gupta, A.H. Jan Danser, Wenxia Chai, Regien G. Schoemaker, Thomas F. Murray, Ingrid M. Garrelds and René de Vries and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Suneet Mehrotra

31 papers receiving 689 citations

Peers

Suneet Mehrotra
Comparison fields: 5 of 100
  • Psychiatry and Mental health 281
  • Molecular Biology 205
  • Pathology and Forensic Medicine 186
  • Cellular and Molecular Neuroscience 156
  • Physiology 131
Replace Araceli Sánchez‐López with:
Araceli Sánchez‐López Mexico
C Horváth Hungary
Alister J. McNeish United Kingdom
J.K. Webb United Kingdom
Jean‐Baptiste Roullet United States
Anindya Bhattacharya United States
Vincenzo Barrese Italy
Samanta Oliveira Loureiro Brazil
Siesjø Bk Sweden
Kinga Szydłowska Poland
Araceli Sánchez‐López Mexico View profile →
Citations per field, relative to Suneet Mehrotra
Suneet Mehrotra · 1×
Citations per year, relative to Suneet Mehrotra
Suneet Mehrotra · 1×

Countries citing papers authored by Suneet Mehrotra

Since Specialization
Citations

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

Fields of papers citing papers by Suneet Mehrotra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suneet Mehrotra

This figure shows the co-authorship network connecting the top 25 collaborators of Suneet Mehrotra. A scholar is included among the top collaborators of Suneet Mehrotra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suneet Mehrotra. Suneet Mehrotra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 10
2 9
3 27
4 33
5 37
6 1
7 17
8 25
9 29
10 37
11 24
12 13
13 4
14 82
15 44
16 46
17 14
18 10
19 25
20 9

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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