Joydip Das

1.5k total citations
56 papers, 1.3k citations indexed

About

Joydip Das is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Joydip Das has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 14 papers in Cell Biology. Recurrent topics in Joydip Das's work include Neuroscience and Neuropharmacology Research (13 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Cellular transport and secretion (9 papers). Joydip Das is often cited by papers focused on Neuroscience and Neuropharmacology Research (13 papers), Protein Kinase Regulation and GTPase Signaling (10 papers) and Cellular transport and secretion (9 papers). Joydip Das collaborates with scholars based in United States, India and Italy. Joydip Das's co-authors include Ghazi M. Rahman, Anjoy Majhi, Ajay Singh, Rosalie K. Crouch, Keith W. Miller, Daniel D. Oprian, Masahiro Kono, Jian‐xing Ma, Xiaojuan Zhou and Simon J. Slater and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Joydip Das

53 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joydip Das United States 20 793 297 248 177 105 56 1.3k
Andrea Mattarei Italy 25 896 1.1× 199 0.7× 164 0.7× 63 0.4× 67 0.6× 88 1.6k
Guangrong Zheng United States 30 2.3k 3.0× 435 1.5× 402 1.6× 71 0.4× 63 0.6× 156 3.4k
Inna I. Severina Russia 20 948 1.2× 285 1.0× 107 0.4× 51 0.3× 42 0.4× 31 1.3k
Yasuhiro Itagaki Japan 26 1.8k 2.3× 320 1.1× 385 1.6× 96 0.5× 215 2.0× 65 3.0k
Kun Song China 25 1.3k 1.7× 194 0.7× 182 0.7× 42 0.2× 125 1.2× 70 2.0k
Soosung Kang South Korea 21 704 0.9× 259 0.9× 374 1.5× 81 0.5× 44 0.4× 54 1.4k
Ashutosh Kumar India 19 709 0.9× 209 0.7× 89 0.4× 162 0.9× 133 1.3× 64 1.9k
Shamprasad Varija Raghu India 21 387 0.5× 595 2.0× 312 1.3× 42 0.2× 62 0.6× 70 1.3k
Md. Emdadul Haque United States 25 1.2k 1.5× 308 1.0× 76 0.3× 187 1.1× 44 0.4× 39 1.9k
Jonathan E. Wilson United States 30 1.2k 1.6× 359 1.2× 979 3.9× 155 0.9× 60 0.6× 79 2.8k

Countries citing papers authored by Joydip Das

Since Specialization
Citations

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

Fields of papers citing papers by Joydip Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joydip Das

This figure shows the co-authorship network connecting the top 25 collaborators of Joydip Das. A scholar is included among the top collaborators of Joydip 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 Joydip Das. Joydip 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.
Ghosh, Anamitra, et al.. (2022). Differential Expression of Presynaptic Munc13-1 and Munc13-2 in Mouse Hippocampus Following Ethanol Drinking. Neuroscience. 487. 166–183. 2 indexed citations
2.
Das, Joydip & Bidhan Chandra Bag. (2021). Comment on “Non-Markovian harmonic oscillator across a magnetic field and time-dependent force fields”. Physical review. E. 103(4). 46101–46101. 1 indexed citations
3.
Das, Joydip. (2020). Repurposing of Drugs–The Ketamine Story. Journal of Medicinal Chemistry. 63(22). 13514–13525. 21 indexed citations
4.
Das, Joydip, et al.. (2020). Unified approach to stochastic thermodynamics: Application to a quantum heat engine. Physical review. E. 102(4). 42138–42138. 2 indexed citations
5.
Das, Joydip, et al.. (2018). Autonomous stochastic resonance driven by colored noise. Physical review. E. 98(1). 12120–12120. 11 indexed citations
6.
Czikora, Ágnes, Nancy E. Lewin, Gary Mitchell, et al.. (2018). Structural determinants of phorbol ester binding activity of the C1a and C1b domains of protein kinase C theta. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1860(5). 1046–1056. 2 indexed citations
7.
Gajewski, Kathleen, et al.. (2018). Ethanol Regulates Presynaptic Activity and Sedation through Presynaptic Unc13 Proteins inDrosophila. eNeuro. 5(3). ENEURO.0125–18.2018. 15 indexed citations
8.
Das, Joydip, et al.. (2015). Alcohol binding in the C1 (C1A+C1B) domain of protein kinase C epsilon. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(11). 2368–2376. 16 indexed citations
9.
Das, Joydip. (2015). Novel N-pyrimidin-4-yl-3-amino-pyrrolo [3, 4-C] pyrazole derivatives as PKC kinase inhibitors: a patent evaluation of US2015099743 (A1). Expert Opinion on Therapeutic Patents. 26(4). 523–528. 3 indexed citations
10.
Rahman, Ghazi M. & Joydip Das. (2014). Modeling studies on the structural determinants for the DAG/phorbol ester binding to C1 domain. Journal of Biomolecular Structure and Dynamics. 33(1). 219–232. 16 indexed citations
11.
Das, Joydip, Warren S. Sandberg, Xiaojuan Zhou, et al.. (2012). Structural and Functional Characterization of an Anesthetic Binding Site in the Second Cysteine-Rich Domain of Protein Kinase Cδ∗. Biophysical Journal. 103(11). 2331–2340. 17 indexed citations
12.
Majhi, Anjoy, et al.. (2012). PKC Activation by Resveratrol Derivatives with Unsaturated Aliphatic Chain. PLoS ONE. 7(12). e52888–e52888. 20 indexed citations
13.
Das, Joydip. (2012). Protein Kinase C: The Drug Target One Must See. Medicinal Chemistry. 2(5).
14.
Howard, Rebecca J., Paul A. Slesinger, Daryl L. Davies, et al.. (2011). Alcohol-Binding Sites in Distinct Brain Proteins: The Quest for Atomic Level Resolution. Alcoholism Clinical and Experimental Research. 35(9). no–no. 47 indexed citations
15.
Das, Joydip, et al.. (2011). Chemical modifications of resveratrol for improved protein kinase C alpha activity. Bioorganic & Medicinal Chemistry. 19(18). 5321–5333. 31 indexed citations
16.
Majhi, Anjoy, et al.. (2010). Binding of curcumin and its long chain derivatives to the activator binding domain of novel protein kinase C. Bioorganic & Medicinal Chemistry. 18(4). 1591–1598. 60 indexed citations
17.
Das, Joydip. (2009). Photoincorporation of azialcohol to the C1B domain of PKCδ is buffer dependent. Journal of Photochemistry and Photobiology B Biology. 95(3). 185–188. 3 indexed citations
18.
Das, Joydip, Xiaojuan Zhou, & Keith W. Miller. (2006). Identification of an alcohol binding site in the first cysteine‐rich domain of protein kinase C δ. Protein Science. 15(9). 2107–2119. 26 indexed citations
19.
Das, Joydip, George H. Addona, Warren S. Sandberg, et al.. (2004). Identification of a General Anesthetic Binding Site in the Diacylglycerol-binding Domain of Protein Kinase Cδ. Journal of Biological Chemistry. 279(36). 37964–37972. 43 indexed citations
20.
Ma, Jian-xing, Sergey L. Znoiko, James C. Ryan, et al.. (2001). A Visual Pigment Expressed in Both Rod and Cone Photoreceptors. Neuron. 32(3). 451–461. 88 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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