Moitrayee Bhattacharyya

1.3k total citations
26 papers, 770 citations indexed

About

Moitrayee Bhattacharyya is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cell Biology. According to data from OpenAlex, Moitrayee Bhattacharyya has authored 26 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Cell Biology. Recurrent topics in Moitrayee Bhattacharyya's work include Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (6 papers) and Bioinformatics and Genomic Networks (5 papers). Moitrayee Bhattacharyya is often cited by papers focused on Protein Structure and Dynamics (14 papers), Computational Drug Discovery Methods (6 papers) and Bioinformatics and Genomic Networks (5 papers). Moitrayee Bhattacharyya collaborates with scholars based in India, United States and United Kingdom. Moitrayee Bhattacharyya's co-authors include Saraswathi Vishveshwara, John Kuriyan, Deepti Karandur, Kallol Gupta, Soma Ghosh, Christine L. Gee, Howard Schulman, Subhalaxmi Nambi, Vaishnavi Ravikumar and Sandhya S. Visweswariah and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Moitrayee Bhattacharyya

26 papers receiving 762 citations

Peers

Countries citing papers authored by Moitrayee Bhattacharyya

Since Specialization

Citations

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

Fields of papers citing papers by Moitrayee Bhattacharyya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moitrayee Bhattacharyya

This figure shows the co-authorship network connecting the top 25 collaborators of Moitrayee Bhattacharyya. A scholar is included among the top collaborators of Moitrayee Bhattacharyya 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 Moitrayee Bhattacharyya. Moitrayee Bhattacharyya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A proteome-wide quantitative platform for nanoscale spatially resolved extraction of membrane proteins into native nanodiscs 2024 ·Nature Methods ·(unknown), Snehasish Ghosh, (unknown), Mukesh Kumar, (unknown), Eric I. Sun, (unknown), Aniruddha Panda, (unknown), (unknown), Jeff Coleman, Yansheng Liu, James E. Rothman, Moitrayee Bhattacharyya, Kallol Gupta	4
2	Oligomeric organization of membrane proteins from native membranes at nanoscale spatial and single-molecule resolution 2023 ·Nature Nanotechnology ·(unknown), (unknown), (unknown), (unknown), Mandar D. Muzumdar, Kallol Gupta, Moitrayee Bhattacharyya	23
3	Deciphering the molecular organization of GET pathway chaperones through native mass spectrometry 2022 ·Biophysical Journal ·(unknown), Malaiyalam Mariappan, Moitrayee Bhattacharyya, Kallol Gupta	1
4	Breakage of the oligomeric CaMKII hub by the regulatory segment of the kinase 2020 ·eLife ·Deepti Karandur, Moitrayee Bhattacharyya, Zijie Xia, Young Kwang Lee, Serena Muratcioğlu, Darren B. McAffee, (unknown), Baiyu Qiu, Jay T. Groves, Evan R. Williams, John Kuriyan	23
5	Flexible linkers in CaMKII control the balance between activating and inhibitory autophosphorylation 2020 ·eLife ·Moitrayee Bhattacharyya, Young Kwang Lee, Serena Muratcioğlu, Baiyu Qiu, (unknown), Howard Schulman, Jay T. Groves, John Kuriyan	38
6	Surveying the Side-Chain Network Approach to Protein Structure and Dynamics: The SARS-CoV-2 Spike Protein as an Illustrative Case 2020 ·Frontiers in Molecular Biosciences ·(unknown), (unknown), (unknown), Moitrayee Bhattacharyya, Smitha Vishveshwara, Saraswathi Vishveshwara	8
7	Structural Insights into the Regulation of Ca²⁺/Calmodulin-Dependent Protein Kinase II (CaMKII) 2019 ·Cold Spring Harbor Perspectives in Biology ·Moitrayee Bhattacharyya, Deepti Karandur, John Kuriyan	60
8	Hierarchical Organization Endows the Kinase Domain with Regulatory Plasticity 2018 ·Cell Systems ·Pau Creixell, Jai Prakash Pandey, Antonio Palmeri, Moitrayee Bhattacharyya, (unknown), Rama Ranganathan, David Pincus, Michael B. Yaffe	14
9	Deconstruction of the Ras switching cycle through saturation mutagenesis 2017 ·eLife ·Pradeep Bandaru, Neel H. Shah, Moitrayee Bhattacharyya, John P. Barton, Yasushi Kondo, Joshua C. Cofsky, Christine L. Gee, Arup K. Chakraborty, Tanja Kortemme, Rama Ranganathan, John Kuriyan	70
10	Protein Structure and Function: Looking through the Network of Side-Chain Interactions 2015 ·Current Protein and Peptide Science ·Moitrayee Bhattacharyya, Soma Ghosh, Saraswathi Vishveshwara	46
11	Rapid mass spectrometric determination of disulfide connectivity in peptides and proteins 2013 ·Molecular BioSystems ·Moitrayee Bhattacharyya, Kallol Gupta, Konkallu Hanumae Gowd, P. Balaram	18
12	Distinctive contributions of the ribosomal P-site elements m2G966, m5C967 and the C-terminal tail of the S9 protein in the fidelity of initiation of translation in Escherichia coli 2013 ·Nucleic Acids Research ·Siddharth Arora, Satya Prathyusha Bhamidimarri, Moitrayee Bhattacharyya, (unknown), Michael H. W. Weber, Saraswathi Vishveshwara, Umesh Varshney	26
13	An automated approach to network features of protein structure ensembles 2013 ·Protein Science ·Moitrayee Bhattacharyya, (unknown), Saraswathi Vishveshwara	50
14	Network properties of protein-decoy structures 2012 ·Journal of Biomolecular Structure and Dynamics ·(unknown), Moitrayee Bhattacharyya, Saraswathi Vishveshwara	9
15	Interaction Signatures Stabilizing the NAD(P)-Binding Rossmann Fold: A Structure Network Approach 2012 ·PLoS ONE ·Moitrayee Bhattacharyya, (unknown), Saraswathi Vishveshwara	19
16	Quantum clustering and network analysis of MD simulation trajectories to probe the conformational ensembles of protein–ligand interactions 2011 ·Molecular BioSystems ·Moitrayee Bhattacharyya, Saraswathi Vishveshwara	4
17	Network approach for capturing ligand-induced subtle global changes in protein structures 2011 ·Acta Crystallographica Section D Biological Crystallography ·Anshul Sukhwal, Moitrayee Bhattacharyya, Saraswathi Vishveshwara	17
18	Elucidation of the conformational free energy landscape in H.pylori LuxS and its implications to catalysis 2010 ·BMC Structural Biology ·Moitrayee Bhattacharyya, Saraswathi Vishveshwara	19
19	Functional correlation of bacterial LuxS with their quaternary associations: interface analysis of the structure networks 2009 ·BMC Structural Biology ·Moitrayee Bhattacharyya, Saraswathi Vishveshwara	8
20	Allostery and conformational free energy changes in human tryptophanyl‐tRNA synthetase from essential dynamics and structure networks 2009 ·Proteins Structure Function and Bioinformatics ·Moitrayee Bhattacharyya, Amit Ghosh, (unknown), Saraswathi Vishveshwara	41

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.

Explore authors with similar magnitude of impact