Sumantra Das

1.8k total citations
76 papers, 1.4k citations indexed

About

Sumantra Das is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Sumantra Das has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 34 papers in Cellular and Molecular Neuroscience and 10 papers in Physiology. Recurrent topics in Sumantra Das's work include Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (16 papers) and Neuroscience and Neuropharmacology Research (11 papers). Sumantra Das is often cited by papers focused on Neuropeptides and Animal Physiology (23 papers), Receptor Mechanisms and Signaling (16 papers) and Neuroscience and Neuropharmacology Research (11 papers). Sumantra Das collaborates with scholars based in India, United States and Japan. Sumantra Das's 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 Stephen A. Adam and has published in prestigious journals such as Chemistry of Materials, Brain Research and Pain.

In The Last Decade

Sumantra Das

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sumantra Das India 23 594 386 197 173 138 76 1.4k
Carla Biondi Italy 26 650 1.1× 299 0.8× 180 0.9× 71 0.4× 94 0.7× 88 1.9k
Song Her South Korea 28 951 1.6× 288 0.7× 241 1.2× 256 1.5× 167 1.2× 77 2.2k
David R. Cool United States 22 827 1.4× 410 1.1× 247 1.3× 117 0.7× 101 0.7× 57 1.9k
Jyoti Parkash India 21 544 0.9× 183 0.5× 186 0.9× 147 0.8× 168 1.2× 62 2.0k
Olivier Nosjean France 23 1.1k 1.8× 384 1.0× 249 1.3× 171 1.0× 76 0.6× 52 2.0k
Michelangelo Iannone Italy 25 566 1.0× 318 0.8× 358 1.8× 161 0.9× 74 0.5× 56 1.8k
Blazej Zbytek United States 30 632 1.1× 238 0.6× 268 1.4× 348 2.0× 278 2.0× 36 3.6k
Soon Lee United States 33 761 1.3× 452 1.2× 519 2.6× 303 1.8× 116 0.8× 91 3.1k
Yuichi Suzuki Japan 25 1.2k 1.9× 301 0.8× 281 1.4× 106 0.6× 107 0.8× 79 2.2k
Shinichi Sasaki Japan 21 585 1.0× 234 0.6× 456 2.3× 126 0.7× 119 0.9× 92 1.9k

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-authorship network of co-authors of Sumantra Das

This figure shows the co-authorship network connecting the top 25 collaborators of Sumantra Das. A scholar is included among the top collaborators of Sumantra Das 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 Sumantra Das. Sumantra Das 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
1.
Das, Sumantra, et al.. (2024). Cooperative Transport of Lithium in Disordered Li10MP2S12 (M = Sn, Si) Electrolytes for Li-Ion Batteries. Chemistry of Materials. 36(21). 10537–10551. 1 indexed citations
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Hazra, Abhijit, et al.. (2015). The quinoline compound, S4 effectively antagonizes alcohol intake in mice: Possible association with the histone H3 modifications. Neurochemistry International. 87. 117–127. 1 indexed citations
5.
Pal, Arijit & Sumantra Das. (2015). Morphine causes persistent induction of nitrated neurofilaments in cortex and subcortex even during abstinence. Neuroscience. 291. 177–188. 6 indexed citations
6.
Gharami, Kusumika, Moitreyi Das, & Sumantra Das. (2015). Essential role of docosahexaenoic acid towards development of a smarter brain. Neurochemistry International. 89. 51–62. 61 indexed citations
7.
Das, Sumantra, et al.. (2014). Association of CREB1 gene polymorphism with drug seeking behaviour in eastern Indian addicts. Neuroscience Letters. 570. 53–57. 7 indexed citations
8.
Sinha, Surajit, et al.. (2014). Synthesis of iboga-like isoquinuclidines: Dual opioid receptors agonists having antinociceptive properties. Bioorganic & Medicinal Chemistry. 22(21). 6062–6070. 14 indexed citations
9.
Chakraborty, Anindita, et al.. (2013). Comparison of ex vivo cultivated human limbal epithelial stem cell viability and proliferation on different substrates. International Ophthalmology. 33(6). 665–670. 11 indexed citations
10.
Das, Sumantra, et al.. (2013). Chronic morphine exposure and its abstinence alters dendritic spine morphology and upregulates Shank1. Neurochemistry International. 62(7). 956–964. 26 indexed citations
11.
Kumar, Deepak, et al.. (2011). Epistatic effects between variants of kappa-opioid receptor gene and A118G of mu-opioid receptor gene increase susceptibility to addiction in Indian population. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 36(2). 225–230. 45 indexed citations
12.
Kumar, Deepak, et al.. (2011). A polymorphism of the CREB binding protein (CREBBP) gene is a risk factor for addiction. Brain Research. 1406. 59–64. 12 indexed citations
13.
Deb, Ishani, Priyankar Paira, Abhijit Hazra, et al.. (2009). Synthesis and characterizations of novel quinoline derivatives having mixed ligand activities at the κ and μ receptors: Potential therapeutic efficacy against morphine dependence. Bioorganic & Medicinal Chemistry. 17(16). 5782–5790. 17 indexed citations
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Das, Sumantra, et al.. (2007). Increased β2-Adrenergic Receptor Activity by Thyroid Hormone Possibly Leads to Differentiation and Maturation of Astrocytes in Culture. Cellular and Molecular Neurobiology. 27(8). 1007–1021. 8 indexed citations
16.
Das, Sumantra, et al.. (2005). Thyroid hormone stimulates γ‐glutamyl transpeptidase in the developing rat cerebra and in astroglial cultures. Journal of Neuroscience Research. 82(6). 851–857. 16 indexed citations
17.
Thomas, Peter, et al.. (2005). Binding characteristics, hormonal regulation and identity of the sperm membrane progestin receptor in Atlantic croaker. Steroids. 70(5-7). 427–433. 52 indexed citations
18.
Gharami, Kusumika, et al.. (2005). Thyroid hormone‐induced morphological differentiation and maturation of astrocytes involves activation of protein kinase A and ERK signalling pathway. European Journal of Neuroscience. 22(7). 1609–1617. 30 indexed citations
19.
Sen, Asish Kumar, et al.. (2005). Docosahexaenoic acid facilitates cell maturation and β-adrenergic transmission in astrocytes. Journal of Lipid Research. 47(3). 571–581. 48 indexed citations
20.
Paul, Surojit, Sumantra Das, & Pranab Kumar Sarkar. (1992). Effect of Hypothyroidism on Different Forms of Actin in Rat Cerebral Neuronal Cultures Studied by an Improved DNase I Inhibition Assay. Journal of Neurochemistry. 59(2). 701–707. 12 indexed citations

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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