Sumantra Das

1.8k citations
76 papers · 1.4k · h-index 23

Impact in

Papers in

    • Receptor Mechanisms and Signaling 16
    • Chemical Synthesis and Analysis 5
    • Pharmacological Receptor Mechanisms and Effects 5
    • Neuropeptides and Animal Physiology 23
    • Neuroscience and Neuropharmacology Research 11
    • Neurotransmitter Receptor Influence on Behavior 5

Sumantra Das

75 papers receiving 1.4k citations

Peers

Sumantra Das
Comparison fields: 5 of 107
  • Behavioral Neuroscience 86
  • Cellular and Molecular Neuroscience 386
  • Anesthesiology and Pain Medicine 60
  • Endocrinology, Diabetes and Metabolism 173
  • Reproductive Medicine 85
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Rainer Amann Austria
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John F. Howes United States
Yujun Wang China
Monika Majewska Poland
Masamichí Okada Japan
A Zaffaroni United States
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Citations per field
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Citations per year

Countries citing papers authored by Sumantra Das

Since Specialization
Citations

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

Fields of papers citing papers by Sumantra Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996131
2 200979
3 201561
4 198560
5 200653
6 200552
7 200548
8 198248
9 201145
10 201045
11 201142
12 198638
13 198633
14 200530
15 199628
16 201326
17 200826
18
Lipolytic enzymes of Trichophyton rubrum.
197726
19 200025
20 197423

About Sumantra Das

Sumantra Das is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Biochemistry and Biomedical Engineering, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (16 papers), Neuroscience and Neuropharmacology Research (11 papers), Biosensors and Analytical Detection (6 papers), Fatty Acid Research and Health (5 papers), Chemical Synthesis and Analysis (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Behavioral Neuroscience (86 citations), Cellular and Molecular Neuroscience (386 citations), Anesthesiology and Pain Medicine (60 citations), Endocrinology, Diabetes and Metabolism (173 citations) and Reproductive Medicine (85 citations). Sumantra Das has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Hemendra N. Bhargava, Kusumika Gharami, Moitreyi Das, Antara Banerjee, Pranab Kumar Sarkar, Ishani Deb, A. B. Banerjee, Mary Hunzicker-Dunn, Evelyn T. Maizels and Deborah A. DeManno. Their work appears in journals such as Medical Mycology, Journal of Neurochemistry, Peptides, European Journal of Neuroscience and European Journal of Pharmacology.

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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