Debasis Nayak

4.3k total citations · 2 hit papers
70 papers, 3.3k citations indexed

About

Debasis Nayak is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Debasis Nayak has authored 70 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 16 papers in Immunology and 14 papers in Epidemiology. Recurrent topics in Debasis Nayak's work include Virology and Viral Diseases (10 papers), interferon and immune responses (8 papers) and Virus-based gene therapy research (8 papers). Debasis Nayak is often cited by papers focused on Virology and Viral Diseases (10 papers), interferon and immune responses (8 papers) and Virus-based gene therapy research (8 papers). Debasis Nayak collaborates with scholars based in India, United States and Singapore. Debasis Nayak's co-authors include Dorian B. McGavern, Theodore L. Roth, Tatjana Atanasijević, Lawrence L. Latour, Alan P. Koretsky, Asit K. Pattnaik, Bernd H. Zinselmeyer, Ritudhwaj Tiwari, Subash C. Das and Tridib K. Sarma and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Debasis Nayak

64 papers receiving 3.3k citations

Hit Papers

Microglia Development and Function 2013 2026 2017 2021 2014 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debasis Nayak India 26 948 907 835 386 307 70 3.3k
Manoj K. Mishra United States 40 1.0k 1.1× 1.6k 1.8× 779 0.9× 323 0.8× 265 0.9× 84 4.5k
Anuja Ghorpade United States 41 1.6k 1.7× 1.3k 1.4× 877 1.1× 388 1.0× 241 0.8× 85 4.8k
Sujatha Kannan United States 46 860 0.9× 2.7k 3.0× 517 0.6× 503 1.3× 345 1.1× 123 6.0k
Santhi Gorantla United States 39 1.0k 1.1× 1.7k 1.8× 774 0.9× 538 1.4× 506 1.6× 96 4.9k
Klaus G. Petry France 35 687 0.7× 1.0k 1.1× 492 0.6× 444 1.2× 535 1.7× 87 4.0k
Jayasri Das Sarma India 29 433 0.5× 785 0.9× 631 0.8× 186 0.5× 217 0.7× 106 2.7k
Larisa Y. Poluektova United States 39 725 0.8× 860 0.9× 860 1.0× 727 1.9× 92 0.3× 124 3.8k
Paweł Ciborowski United States 32 627 0.7× 1.2k 1.3× 680 0.8× 441 1.1× 431 1.4× 95 3.3k
Carmen Infante‐Duarte Germany 32 606 0.6× 775 0.9× 1.2k 1.5× 205 0.5× 229 0.7× 77 3.2k
You Zhou United States 34 253 0.3× 1.4k 1.6× 529 0.6× 488 1.3× 157 0.5× 87 3.6k

Countries citing papers authored by Debasis Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Debasis Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debasis Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Debasis Nayak. A scholar is included among the top collaborators of Debasis Nayak 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 Debasis Nayak. Debasis Nayak 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.
Tiwari, Ritudhwaj, et al.. (2025). Essential Role of Clathrin and Lipid Rafts in pH-dependent Entry of Chandipura Virus: Independence From Caveolin Pathway. The Journal of Infectious Diseases. 233(3). 554–559.
3.
Kumari, Monika, Uma Shankar, Sharad Gupta, et al.. (2024). Characterization of G‐quadruplexes in the Helicobacter pylori genome and assessment of therapeutic potential of G4 ligands. Biotechnology and Applied Biochemistry. 72(1). 29–42.
4.
Behera, Ajit, Debasis Nayak, & Biswajit Swain. (2024). Surface Engineering of Biomaterials. 7 indexed citations
5.
Nayak, Debasis, et al.. (2023). Microstructure, Mechanical, and Tribological Relationship in Cu-12Al-Ni Alloy with Respect to the Variation of Ni Content. Journal of Materials Engineering and Performance. 33(16). 8554–8566. 1 indexed citations
6.
Jonniya, Nisha Amarnath, et al.. (2021). Immunoinformatics Approach to Design Multi-Epitope- Subunit Vaccine against Bovine Ephemeral Fever Disease. Vaccines. 9(8). 925–925. 23 indexed citations
7.
Kumar, Ramesh, Jatin Shrinet, Sunil Dubey, et al.. (2021). Chikungunya virus non-structural protein nsP3 interacts with Aedes aegypti DEAD-box helicase RM62F. VirusDisease. 32(4). 657–665. 9 indexed citations
8.
Moseman, E. Ashley, et al.. (2020). T cell engagement of cross-presenting microglia protects the brain from a nasal virus infection. Science Immunology. 5(48). 104 indexed citations
9.
Shankar, Uma, et al.. (2020). Genome-wide analysis reveals a regulatory role for G-quadruplexes during Adenovirus multiplication. Virus Research. 283. 197960–197960. 18 indexed citations
10.
Mishra, Subodh Kumar, Nirali Pandya, Uma Shankar, et al.. (2020). Identification and characterization of two conserved G-quadruplex forming motifs in the Nipah virus genome and their interaction with G-quadruplex specific ligands. Scientific Reports. 10(1). 1477–1477. 41 indexed citations
11.
Nayak, Debasis, et al.. (2020). Comparative analysis, distribution, and characterization of microsatellites in Orf virus genome. Scientific Reports. 10(1). 13852–13852. 9 indexed citations
12.
13.
Tiwari, Ritudhwaj, Juan Carlos de la Torre, Dorian B. McGavern, & Debasis Nayak. (2019). Beyond Tethering the Viral Particles: Immunomodulatory Functions of Tetherin ( BST-2 ). DNA and Cell Biology. 38(11). 1170–1177. 23 indexed citations
15.
Kundu, Bidyut Kumar, et al.. (2018). Substituent dependent sensing behavior of Schiff base chemosensors in detecting Zn2+and Al3+ ions: Drug sample analysis and living cell imaging. Sensors and Actuators B Chemical. 282. 347–358. 98 indexed citations
16.
Urata, Shuzo, Elizabeth Kenyon, Debasis Nayak, et al.. (2018). BST-2 controls T cell proliferation and exhaustion by shaping the early distribution of a persistent viral infection. PLoS Pathogens. 14(7). e1007172–e1007172. 14 indexed citations
17.
Thakur, Neha, Bhagwati Sharma, Suman Bishnoi, et al.. (2018). Multifunctional Inosine Monophosphate Coordinated Metal–Organic Hydrogel: Multistimuli Responsiveness, Self-Healing Properties, and Separation of Water from Organic Solvents. ACS Sustainable Chemistry & Engineering. 6(7). 8659–8671. 50 indexed citations
18.
Swanson, Phillip A., Geoffrey T. Hart, Matthew V. Russo, et al.. (2016). CD8+ T Cells Induce Fatal Brainstem Pathology during Cerebral Malaria via Luminal Antigen-Specific Engagement of Brain Vasculature. PLoS Pathogens. 12(12). e1006022–e1006022. 93 indexed citations
19.
Nayak, Debasis, Bernd H. Zinselmeyer, Kara N. Corps, & Dorian B. McGavern. (2012). In vivo dynamics of innate immune sentinels in the CNS. PubMed. 1(2). 95–106. 90 indexed citations
20.
Kang, Silvia S., Jasmin Herz, Jiyun V. Kim, et al.. (2011). Migration of cytotoxic lymphocytes in cell cycle permits local MHC I–dependent control of division at sites of viral infection. The Journal of Experimental Medicine. 208(4). 747–759. 43 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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