Arnab Modak

412 total citations
12 papers, 292 citations indexed

About

Arnab Modak is a scholar working on Molecular Biology, Genetics and Materials Chemistry. According to data from OpenAlex, Arnab Modak has authored 12 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Materials Chemistry. Recurrent topics in Arnab Modak's work include Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Enzyme Structure and Function (3 papers). Arnab Modak is often cited by papers focused on Protein Structure and Dynamics (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Enzyme Structure and Function (3 papers). Arnab Modak collaborates with scholars based in United States, India and Finland. Arnab Modak's co-authors include Prashant S. Phale, Nathan N. Alder, Sajan C. Raju, Hemant J. Purohit, Steven M. Claypool, Xianlin Han, J. Michael McCaffery, Elizabeth Calzada, Chunyan Wang and Prasenjit Bhaumik and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Arnab Modak

11 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnab Modak United States 8 238 46 40 34 32 12 292
Begoña Ugarte‐Uribe Spain 12 359 1.5× 16 0.3× 37 0.9× 40 1.2× 9 0.3× 18 455
Agnès Mesneau France 8 247 1.0× 13 0.3× 7 0.2× 36 1.1× 32 1.0× 11 335
Claire Duyckaerts Belgium 14 524 2.2× 14 0.3× 113 2.8× 22 0.6× 126 3.9× 22 623
Filippo Martini Italy 13 299 1.3× 5 0.1× 65 1.6× 23 0.7× 15 0.5× 28 449
Abraham M. Brown United States 6 255 1.1× 4 0.1× 62 1.6× 85 2.5× 12 0.4× 9 366
Laurence Prunetti United States 12 337 1.4× 6 0.1× 84 2.1× 69 2.0× 5 0.2× 18 479
Stephan Umhau Germany 4 297 1.2× 4 0.1× 60 1.5× 28 0.8× 18 0.6× 5 374
Cedric H. De Smet Netherlands 7 224 0.9× 12 0.3× 14 0.3× 12 0.4× 9 0.3× 8 334
Vera Ott Germany 5 281 1.2× 3 0.1× 39 1.0× 101 3.0× 55 1.7× 6 395
Juni Andréll United Kingdom 9 339 1.4× 3 0.1× 25 0.6× 43 1.3× 21 0.7× 13 399

Countries citing papers authored by Arnab Modak

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Modak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnab Modak

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

All Works

12 of 12 papers shown
1.
Brady, Ryan A., Arnab Modak, José Luís Pérez Alejo, et al.. (2025). Parallel stopped-flow interrogation of diverse biological systems at the single-molecule scale. Nature Methods. 23(1). 78–87. 1 indexed citations
2.
Robertson, Michael J., Arnab Modak, Makaía M. Papasergi-Scott, et al.. (2025). Non-equilibrium snapshots of ligand efficacy at the μ-opioid receptor. Nature.
3.
Modak, Arnab, et al.. (2024). Single-Molecule Imaging of Integral Membrane Protein Dynamics and Function. Annual Review of Biophysics. 53(1). 427–453. 5 indexed citations
4.
Asher, Wesley B., Daniel S. Terry, G. Glenn Gregorio, et al.. (2022). GPCR-mediated β-arrestin activation deconvoluted with single-molecule precision. Cell. 185(10). 1661–1675.e16. 57 indexed citations
5.
Calzada, Elizabeth, Arnab Modak, Chunyan Wang, et al.. (2019). Phosphatidylethanolamine made in the inner mitochondrial membrane is essential for yeast cytochrome bc1 complex function. Nature Communications. 10(1). 1432–1432. 78 indexed citations
6.
7.
Malhotra, Ketan, Arnab Modak, Victoria Robinson, et al.. (2017). Cardiolipin mediates membrane and channel interactions of the mitochondrial TIM23 protein import complex receptor Tim50. Science Advances. 3(9). e1700532–e1700532. 51 indexed citations
8.
Pandey, S. K. Singh, Arnab Modak, Prashant S. Phale, & Prasenjit Bhaumik. (2016). High Resolution Structures of Periplasmic Glucose-binding Protein of Pseudomonas putida CSV86 Reveal Structural Basis of Its Substrate Specificity. Journal of Biological Chemistry. 291(15). 7844–7857. 19 indexed citations
9.
Pandey, S. K. Singh, Arnab Modak, Prashant S. Phale, & Prasenjit Bhaumik. (2015). Cloning, Purification, Crystallization and Preliminary X-Ray Diffraction Studies of Periplasmic Glucose Binding Protein of <i>Pseudomonas putida</i> CSV86. Advances in Bioscience and Biotechnology. 6(3). 164–171. 2 indexed citations
10.
Raju, Sajan C., et al.. (2014). Pseudomonas putida CSV86: A Candidate Genome for Genetic Bioaugmentation. PLoS ONE. 9(1). e84000–e84000. 42 indexed citations
11.
12.
Phale, Prashant S., et al.. (2013). Genome Sequence of Naphthalene-Degrading Soil Bacterium Pseudomonas putida CSV86. Genome Announcements. 1(1). 16 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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2026