Debashish Sahu

817 total citations
30 papers, 626 citations indexed

About

Debashish Sahu is a scholar working on Molecular Biology, Materials Chemistry and Epidemiology. According to data from OpenAlex, Debashish Sahu has authored 30 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Materials Chemistry and 3 papers in Epidemiology. Recurrent topics in Debashish Sahu's work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (7 papers). Debashish Sahu is often cited by papers focused on Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (8 papers) and RNA and protein synthesis mechanisms (7 papers). Debashish Sahu collaborates with scholars based in United States, India and Israel. Debashish Sahu's co-authors include Junji Iwahara, Scott A. Showalter, Yuki Takayama, Levani Zandarashvili, G. Marius Clore, Dana Vuzman, Alexandre Esadze, Yaakov Levy, Priyanka Debnath and David D. Boehr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Debashish Sahu

28 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debashish Sahu United States 13 475 86 71 67 39 30 626
Somnath Mukherjee India 16 546 1.1× 72 0.8× 40 0.6× 24 0.4× 45 1.2× 46 820
Huu Ngo United States 11 714 1.5× 194 2.3× 43 0.6× 129 1.9× 35 0.9× 11 819
Koyeli Mapa India 16 737 1.6× 118 1.4× 66 0.9× 89 1.3× 38 1.0× 35 861
Rachna Ujwal United States 9 778 1.6× 48 0.6× 144 2.0× 92 1.4× 15 0.4× 10 857
Ralf Jansen Germany 9 1.0k 2.2× 103 1.2× 40 0.6× 57 0.9× 12 0.3× 10 1.2k
Michael Gottschalk United States 15 299 0.6× 86 1.0× 81 1.1× 27 0.4× 12 0.3× 30 650
Vidhi Pareek United States 8 361 0.8× 32 0.4× 62 0.9× 20 0.3× 35 0.9× 12 496
Michael F. Bailey Australia 16 534 1.1× 114 1.3× 26 0.4× 15 0.2× 41 1.1× 23 679
Ruchi Gupta India 11 622 1.3× 66 0.8× 118 1.7× 21 0.3× 14 0.4× 23 889
Alastair G. Stewart Australia 17 978 2.1× 91 1.1× 185 2.6× 16 0.2× 23 0.6× 29 1.2k

Countries citing papers authored by Debashish Sahu

Since Specialization
Citations

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

Fields of papers citing papers by Debashish Sahu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debashish Sahu

This figure shows the co-authorship network connecting the top 25 collaborators of Debashish Sahu. A scholar is included among the top collaborators of Debashish Sahu 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 Debashish Sahu. Debashish Sahu 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.
Sahu, Debashish, I. Patel, K. Lakshman, Koyeli Mapa, & Nidhi Malhotra. (2025). Bridging structure and selectivity in chaperone‐mediated autophagy: towards targeted therapeutics. FEBS Journal.
2.
Zhu, Jie, Biaoxin Chai, Michael P. Vincent, et al.. (2023). Reciprocal regulatory balance within the CLEC16A–RNF41 mitophagy complex depends on an intrinsically disordered protein region. Journal of Biological Chemistry. 299(4). 103057–103057. 2 indexed citations
3.
Sahu, Debashish, et al.. (2022). Concepts and considerations for enhancing RNAi efficiency in phytopathogenic fungi for RNAi-based crop protection using nanocarrier-mediated dsRNA delivery systems. SHILAP Revista de lepidopterología. 3. 977502–977502. 30 indexed citations
4.
Boehr, David D., et al.. (2022). Allosteric networks regulate function in multi‐enzyme complexes. The FASEB Journal. 36(S1). 1 indexed citations
5.
Sahu, Debashish, et al.. (2020). Barriers In Improving Education Quality: A Case Study Of Rural India. IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research.
6.
Sahu, Debashish, et al.. (2020). Distinct conformational dynamics and allosteric networks in alpha tryptophan synthase during active catalysis. Protein Science. 30(3). 543–557. 8 indexed citations
7.
Sahu, Debashish, et al.. (2019). Coordinated Network Changes across the Catalytic Cycle of Alpha Tryptophan Synthase. Structure. 27(9). 1405–1415.e5. 9 indexed citations
8.
Sahu, Debashish, Santosh Kumar Sahu, Thrinadh Jadam, & Saurav Datta. (2019). Electro-Discharge Machining Performance of Nimonic 80A: An Experimental Observation. Arabian Journal for Science and Engineering. 44(12). 10155–10167. 16 indexed citations
9.
Cook, Erik C., et al.. (2018). Solution Ensemble of the C-Terminal Domain from the Transcription Factor Pdx1 Resembles an Excluded Volume Polymer. The Journal of Physical Chemistry B. 123(1). 106–116. 10 indexed citations
10.
Sahu, Debashish, et al.. (2018). Millisecond Timescale Motions Connect Amino Acid Interaction Networks in Alpha Tryptophan Synthase. Frontiers in Molecular Biosciences. 5. 92–92. 6 indexed citations
11.
Gorman, Scott D., et al.. (2018). Assigning methyl resonances for protein solution-state NMR studies. Methods. 148. 88–99. 17 indexed citations
12.
13.
Gibbs, Eric, et al.. (2015). A primer for carbon‐detected NMR applications to intrinsically disordered proteins in solution. Concepts in Magnetic Resonance Part A. 44(1). 54–66. 36 indexed citations
14.
Sahu, Debashish, et al.. (2015). Assessing Coupled Protein Folding and Binding Through Temperature-Dependent Isothermal Titration Calorimetry. Methods in enzymology on CD-ROM/Methods in enzymology. 567. 23–45. 12 indexed citations
15.
Sahu, Debashish, et al.. (2013). Generating NMR chemical shift assignments of intrinsically disordered proteins using carbon-detected NMR methods. Analytical Biochemistry. 449. 17–25. 42 indexed citations
16.
Zandarashvili, Levani, Debashish Sahu, Kwanbok Lee, et al.. (2013). Real-time Kinetics of High-mobility Group Box 1 (HMGB1) Oxidation in Extracellular Fluids Studied by in Situ Protein NMR Spectroscopy. Journal of Biological Chemistry. 288(17). 11621–11627. 66 indexed citations
17.
Lary, Jeffrey W., et al.. (2012). The Role of Human Dicer-dsRBD in Processing Small Regulatory RNAs. PLoS ONE. 7(12). e51829–e51829. 42 indexed citations
18.
Sahu, Debashish, Priyanka Debnath, Yuki Takayama, & Junji Iwahara. (2008). Redox properties of the A‐domain of the HMGB1 protein. FEBS Letters. 582(29). 3973–3978. 42 indexed citations
19.
Takayama, Yuki, Debashish Sahu, & Junji Iwahara. (2008). Observing in-phase single-quantum 15N multiplets for groups with two-dimensional heteronuclear correlation spectroscopy. Journal of Magnetic Resonance. 194(2). 313–316. 11 indexed citations
20.
Jayaram, B., et al.. (2006). Bhageerath: an energy based web enabled computer software suite for limiting the search space of tertiary structures of small globular proteins. Nucleic Acids Research. 34(21). 6195–6204. 63 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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