Molina Mhatre

2.2k total citations
35 papers, 1.8k citations indexed

About

Molina Mhatre is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Molina Mhatre has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 10 papers in Neurology and 9 papers in Molecular Biology. Recurrent topics in Molina Mhatre's work include Neuroscience and Neuropharmacology Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Molina Mhatre is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Molina Mhatre collaborates with scholars based in United States, South Africa and Austria. Molina Mhatre's co-authors include Maharaj K. Ticku, Kenneth Hensley, Quentin N. Pye, Kelly S. Williamson, Lalita S. Kothari, Robert A. Floyd, Werner Sieghart, Melinda West, Shenyun Mou and Charles A. Stewart and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Biochemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Molina Mhatre

35 papers receiving 1.8k citations

Peers

Molina Mhatre
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 836
  • Molecular Biology 580
  • Neurology 404
  • Physiology 347
  • Neurology 308
Replace Philippe G. Vallet with:
Philippe G. Vallet Switzerland
Felix Cruz-Sánchez Spain
Nicole Mahy Spain
Marat V. Avshalumov United States
Ross D. O’Shea Australia
Michelle F. Anderson Sweden
Kari R. Hoyt United States
Yoshihiro Kiyota Japan
Emil C. Toescu United Kingdom
Marco Virgili Italy
Philippe G. Vallet Switzerland View profile →
Citations per field, relative to Molina Mhatre
Molina Mhatre · 1×
Citations per year, relative to Molina Mhatre
Molina Mhatre · 1×

Countries citing papers authored by Molina Mhatre

Since Specialization
Citations

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

Fields of papers citing papers by Molina Mhatre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Molina Mhatre

This figure shows the co-authorship network connecting the top 25 collaborators of Molina Mhatre. A scholar is included among the top collaborators of Molina Mhatre 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 Molina Mhatre. Molina Mhatre 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 3
2 82
3 133
4 8
5 7
6 23
7 90
8 7
9 22
10 15
11 7
12 93
13 156
14 2
15 46
16
Modulation of GABAergic transmission by ethanol.
17
17 21
18 41
19 46
20 21

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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