Subrata Basu Ray

651 total citations
42 papers, 502 citations indexed

About

Subrata Basu Ray is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Subrata Basu Ray has authored 42 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 14 papers in Molecular Biology and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Subrata Basu Ray's work include Pain Mechanisms and Treatments (22 papers), Neuropeptides and Animal Physiology (10 papers) and Anesthesia and Pain Management (8 papers). Subrata Basu Ray is often cited by papers focused on Pain Mechanisms and Treatments (22 papers), Neuropeptides and Animal Physiology (10 papers) and Anesthesia and Pain Management (8 papers). Subrata Basu Ray collaborates with scholars based in India, United States and Austria. Subrata Basu Ray's co-authors include Alexandru Almasan, Shashi Wadhwa, Nibedita Chattopadhyay, Amitava Chatterjee, Yogendra Kumar Gupta, Aparna Mitra, Pranav Prasoon, Maqsood Siddiqi, Mayank Gautam and K.H. Reeta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain Research and European Journal of Pharmacology.

In The Last Decade

Subrata Basu Ray

39 papers receiving 488 citations

Peers

Subrata Basu Ray
Comparison fields: 5 of 79
  • Molecular Biology 251
  • Physiology 117
  • Cellular and Molecular Neuroscience 96
  • Oncology 66
  • Surgery 57
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Citations per field, relative to Subrata Basu Ray
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Citations per year, relative to Subrata Basu Ray
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Countries citing papers authored by Subrata Basu Ray

Since Specialization
Citations

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

Fields of papers citing papers by Subrata Basu Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subrata Basu Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Subrata Basu Ray. A scholar is included among the top collaborators of Subrata Basu Ray 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 Subrata Basu Ray. Subrata Basu Ray 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 1
2 1
3 7
4 10
5 3
6 13
7 8
8 25
9
Chronic spinal infusion of loperamide alleviates postsurgical pain in rats.
5
10 2
11 11
12 9
13 12
14 9
15
Nimodipine is more effective than nifedipine in attenuating morphine tolerance on chronic co-administration in the rat tail-flick test.
12
16 6
17 6
18
Apoptosis induction in prostate cancer cells and xenografts by combined treatment with Apo2 ligand/tumor necrosis factor-related apoptosis-inducing ligand and CPT-11.
89
19 21
20 10

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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