Rahul Das

3.1k total citations
46 papers, 2.5k citations indexed

About

Rahul Das is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rahul Das has authored 46 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rahul Das's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Protein Structure and Dynamics (6 papers). Rahul Das is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Protein Structure and Dynamics (6 papers). Rahul Das collaborates with scholars based in India, Canada and United States. Rahul Das's co-authors include Giuseppe Melacini, John Kuriyan, Nicholas Endres, David E. Wemmer, Anton Arkhipov, David E. Shaw, Yibing Shan, Kate Engel, Natalia Jura and Mohammad T. Mazhab‐Jafari and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Rahul Das

45 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Das India 22 1.8k 642 513 215 207 46 2.5k
Eduard V. Bocharov Russia 30 1.8k 1.0× 321 0.5× 312 0.6× 238 1.1× 77 0.4× 114 2.3k
David C. Dalgarno United States 33 2.4k 1.3× 828 1.3× 284 0.6× 344 1.6× 158 0.8× 71 3.6k
Christiane Garbay France 34 2.0k 1.1× 574 0.9× 218 0.4× 358 1.7× 154 0.7× 122 3.2k
Daniel F. Wyss United States 31 1.6k 0.9× 323 0.5× 447 0.9× 132 0.6× 178 0.9× 58 3.4k
Julie A. Tucker United Kingdom 28 1.6k 0.9× 569 0.9× 148 0.3× 213 1.0× 245 1.2× 43 2.3k
Thierry Fischmann United States 21 1.5k 0.8× 486 0.8× 384 0.7× 229 1.1× 180 0.9× 37 2.4k
Gregory H. Bird United States 32 3.5k 1.9× 701 1.1× 312 0.6× 209 1.0× 95 0.5× 59 4.1k
Vadim Gaponenko United States 33 2.0k 1.1× 429 0.7× 204 0.4× 271 1.3× 97 0.5× 77 3.1k
Markus A. Seeliger United States 33 3.1k 1.7× 792 1.2× 396 0.8× 654 3.0× 650 3.1× 74 4.5k
Robert S. McDowell United States 28 2.8k 1.5× 563 0.9× 403 0.8× 192 0.9× 486 2.3× 44 4.3k

Countries citing papers authored by Rahul Das

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Das

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Das. A scholar is included among the top collaborators of Rahul 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 Rahul Das. Rahul 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, S., et al.. (2025). A fluorogenic probe for screening aldehyde dehydrogenase 1A1 (ALDH1A1) inhibitors. Chemical Communications. 61(82). 16070–16073.
2.
3.
Das, Rahul, et al.. (2024). Molecular basis of VEGFR1 autoinhibition at the plasma membrane. Nature Communications. 15(1). 1346–1346. 7 indexed citations
4.
Bhattacharyya, Sudipta, et al.. (2021). Selective targeting of the inactive state of hematopoietic cell kinase (Hck) with a stable curcumin derivative. Journal of Biological Chemistry. 296. 100449–100449. 4 indexed citations
5.
Das, Rahul, et al.. (2021). Backbone resonance assignment of the cAMP-binding domains of the protein kinase A regulatory subunit Iα. Biomolecular NMR Assignments. 15(2). 379–382. 1 indexed citations
6.
Sinha, Sushant K., et al.. (2020). Elucidating the regulation of glucose tolerance in a β-glucosidase from Halothermothrix orenii by active site pocket engineering and computational analysis. International Journal of Biological Macromolecules. 156. 621–632. 19 indexed citations
7.
8.
Bhattacharya, Suman, et al.. (2019). Antidiabetic role of a novel protein from garlic via NO in expression of Glut-4/insulin in liver of alloxan induced diabetic mice. Biomedicine & Pharmacotherapy. 111. 1302–1314. 21 indexed citations
9.
Das, Rahul. (2018). Schiff bases: Synthesis, Applications and Characterization using FT-NMR Spectroscopy. Journal of Emerging Technologies and Innovative Research. 5(1). 1435-1447–1435-1447. 2 indexed citations
10.
Kovács, Erika, Rahul Das, Qi Wang, et al.. (2015). Analysis of the Role of the C-Terminal Tail in the Regulation of the Epidermal Growth Factor Receptor. Molecular and Cellular Biology. 35(17). 3083–3102. 65 indexed citations
11.
Allison, Sarah E., Soumaya Zlitni, Rahul Das, et al.. (2013). Degradation of MAC13243 and studies of the interaction of resulting thiourea compounds with the lipoprotein targeting chaperone LolA. Bioorganic & Medicinal Chemistry Letters. 23(8). 2426–2431. 36 indexed citations
12.
Arkhipov, Anton, Yibing Shan, Rahul Das, et al.. (2013). Architecture and Membrane Interactions of the EGF Receptor. Cell. 152(3). 557–569. 388 indexed citations
13.
Endres, Nicholas, Rahul Das, Adam W. Smith, et al.. (2013). Conformational Coupling across the Plasma Membrane in Activation of the EGF Receptor. Cell. 152(3). 543–556. 377 indexed citations
14.
Iwig, Jeffrey S., Yvonne Vercoulen, Rahul Das, et al.. (2013). Structural analysis of autoinhibition in the Ras-specific exchange factor RasGRP1. eLife. 2. e00813–e00813. 60 indexed citations
15.
Selvaratnam, Rajeevan, Mohammad T. Mazhab‐Jafari, Rahul Das, & Giuseppe Melacini. (2012). The Auto-Inhibitory Role of the EPAC Hinge Helix as Mapped by NMR. PLoS ONE. 7(11). e48707–e48707. 62 indexed citations
16.
Das, Rahul, et al.. (2010). Communication between Tandem cAMP Binding Domains in the Regulatory Subunit of Protein Kinase A-Iα as Revealed by Domain-silencing Mutations. Journal of Biological Chemistry. 285(20). 15523–15537. 47 indexed citations
17.
Jura, Natalia, Nicholas Endres, Kate Engel, et al.. (2009). Mechanism for Activation of the EGF Receptor Catalytic Domain by the Juxtamembrane Segment. Cell. 137(7). 1293–1307. 466 indexed citations
18.
Das, Rahul, et al.. (2009). Dynamically Driven Ligand Selectivity in Cyclic Nucleotide Binding Domains. Journal of Biological Chemistry. 284(35). 23682–23696. 69 indexed citations
19.
Das, Rahul, et al.. (2007). Definition of an electrostatic relay switch critical for the cAMP‐dependent activation of protein kinase A as revealed by the D170A mutant of RIα. Proteins Structure Function and Bioinformatics. 69(1). 112–124. 35 indexed citations
20.
Das, Rahul & Giuseppe Melacini. (2006). A Model for Agonism and Antagonism in an Ancient and Ubiquitous cAMP-binding Domain. Journal of Biological Chemistry. 282(1). 581–593. 42 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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