Pradipta Ray

11.2k citations
37 papers · 1.8k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Pradipta Ray

37 papers receiving 1.8k citations

Hit Papers

Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors 2022 · 217 citations
217202220262023202450100150200

Peers

Pradipta Ray
Comparison fields: 5 of 112
  • Physiology 921
  • Cellular and Molecular Neuroscience 607
  • Sensory Systems 153
  • Developmental Neuroscience 63
  • Neurology 120
Replace Guang‐Yin Xu with:
Guang‐Yin Xu China
Stephanie Shiers United States
Lingli Liang China
Ohannes K. Melemedjian United States
Aubin Moutal United States
Alexander Chamessian United States
Christoforos Tsantoulas United Kingdom
Andi Wangzhou United States
Renée R. Donahue United States
Rainer Haberberger Germany
Pradipta Ray relative to Guang‐Yin Xu China Guang‐Yin Xu's profile →
Citations per field
00.5×3.5×
Guang‐Yin Xu · 1×
Citations per year

Countries citing papers authored by Pradipta Ray

Since Specialization
Citations

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

Fields of papers citing papers by Pradipta Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2
Spatial transcriptomics of dorsal root ganglia identifies molecular signatures of human nociceptors
Hit paper breakdown →
2022217
3 202273
4 202252
5 20219
6 202150
7 202122
8 202112
9 202063
10 202082
11 202016
12 202045
13 202030
14 201934
15 201928
16 201966
17 2018226
18 201887
19 201895
20 200812

About Pradipta Ray

Pradipta Ray is a scholar working on Cellular and Molecular Neuroscience, Physiology, Sensory Systems, Pharmacology and Pharmacology, having authored 37 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Neuropeptides and Animal Physiology (8 papers), Receptor Mechanisms and Signaling (6 papers), Pain Management and Placebo Effect (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Physiology (921 citations), Cellular and Molecular Neuroscience (607 citations), Sensory Systems (153 citations), Developmental Neuroscience (63 citations) and Neurology (120 citations). Pradipta Ray has collaborated with scholars based in United States, United Kingdom and Mexico. Frequent co-authors include Theodore J. Price, Gregory Dussor, Andi Wangzhou, Patrick M. Dougherty, Stephanie Shiers, Ishwarya Sankaranarayanan, Yan Li, Michael D. Burton, Tae Hoon Kim and Robert W. Gereau. Their work appears in journals such as Pain, Journal of Neuroscience, Journal of Pain, Brain and Bioinformatics.

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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