Rashmi Mathur

708 citations
66 papers · 588 · h-index 14

Impact in

Papers in

Rashmi Mathur

63 papers receiving 559 citations

Peers

Rashmi Mathur
Comparison fields: 5 of 101
  • Complementary and Manual Therapy 16
  • Biophysics 46
  • Physiology 160
  • Cellular and Molecular Neuroscience 101
  • Neurology 44
Replace Kazuyoshi Kitaoka with:
Kazuyoshi Kitaoka Japan
Mohammad Reza Namavar Iran
Riccardo Ruffoli Italy
Márcia Consentino Kronka Sosthenes Brazil
Ryo Ikeda Japan
Kevin C. Rowland United States
Jiun Youn New Zealand
Samuel J. Dienel United States
Rasneer Sonia Bains United Kingdom
I. Lehtinen Finland
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Citations per field
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Kazuyoshi Kitaoka · 1×
Citations per year

Countries citing papers authored by Rashmi Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199938
2 201928
3 201226
4
Amygdalar involvement in pain.
199526
5 199826
6 200226
7 197623
8 201719
9 201818
10 201117
11 201317
12 197815
13 200114
14 200114
15 201414
16 198313
17 201912
18 201312
19 199212
20 200912

About Rashmi Mathur

Rashmi Mathur is a scholar working on Physiology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Behavioral Neuroscience and Developmental Neuroscience, having authored 66 papers that have together received 588 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Pain Mechanisms and Treatments (11 papers), Spinal Cord Injury Research (7 papers), Aldose Reductase and Taurine (7 papers), Neuropeptides and Animal Physiology (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Biochemical effects in animals (6 papers) and Neuroendocrine regulation and behavior (5 papers). The work is most often cited by research in Complementary and Manual Therapy (16 citations), Biophysics (46 citations), Physiology (160 citations), Cellular and Molecular Neuroscience (101 citations) and Neurology (44 citations). Rashmi Mathur has collaborated with scholars based in India, Russia and United States. Frequent co-authors include Suman Jain, Usha Sidana Nayar, Suneel Kumar, Kalpna Gupta, Jitendra Behari, P. Mandel, B George, Francis T.S. Oen, S.K. Kulkarni and Gus Gazzard. Their work appears in journals such as Experimental Eye Research, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Brain stimulation, Marriage & Family Review and Physiology & Behavior.

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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