R. Nayak

1.2k total citations
58 papers, 1.0k citations indexed

About

R. Nayak is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, R. Nayak has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 19 papers in Immunology and 14 papers in Epidemiology. Recurrent topics in R. Nayak's work include Immunotherapy and Immune Responses (15 papers), vaccines and immunoinformatics approaches (13 papers) and T-cell and B-cell Immunology (12 papers). R. Nayak is often cited by papers focused on Immunotherapy and Immune Responses (15 papers), vaccines and immunoinformatics approaches (13 papers) and T-cell and B-cell Immunology (12 papers). R. Nayak collaborates with scholars based in India, United States and Israel. R. Nayak's co-authors include M.S. Shaila, S. Spiegelman, Robert C. Sawyer, Daniel Martín, Robert L. Stolfi, Shibani Mitra‐Kaushik, Nagasuma Chandra, M Sirsi, Gomathinayagam Sinnathamby and Girdhari Lal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer and Biochemical and Biophysical Research Communications.

In The Last Decade

R. Nayak

56 papers receiving 977 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Nayak India 18 533 312 256 241 235 58 1.0k
Christopher W. Marlor United States 15 684 1.3× 517 1.7× 252 1.0× 452 1.9× 147 0.6× 24 1.9k
George J. Cianciolo United States 19 392 0.7× 203 0.7× 158 0.6× 681 2.8× 222 0.9× 39 1.3k
Theodora Fifis Australia 18 629 1.2× 474 1.5× 494 1.9× 568 2.4× 186 0.8× 38 1.5k
Sabine Hallenberger Germany 17 455 0.9× 457 1.5× 650 2.5× 240 1.0× 120 0.5× 22 1.5k
Gregory Duke United States 11 346 0.6× 526 1.7× 221 0.9× 185 0.8× 95 0.4× 12 1.1k
Laurent Perez Switzerland 22 575 1.1× 776 2.5× 448 1.8× 409 1.7× 355 1.5× 40 1.8k
Miriam Lieberman United States 16 459 0.9× 227 0.7× 321 1.3× 453 1.9× 213 0.9× 34 1.4k
Toshitaka Akatsuka Japan 24 439 0.8× 621 2.0× 312 1.2× 706 2.9× 187 0.8× 55 1.8k
Eric J. Patzer United States 19 812 1.5× 433 1.4× 454 1.8× 615 2.6× 97 0.4× 24 1.9k
T A Wiltrout United States 17 338 0.6× 289 0.9× 434 1.7× 737 3.1× 193 0.8× 20 1.5k

Countries citing papers authored by R. Nayak

Since Specialization
Citations

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

Fields of papers citing papers by R. Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of R. Nayak. A scholar is included among the top collaborators of R. 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 R. Nayak. R. 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.
Shaila, M.S., et al.. (2008). HLA‐A*0201‐restricted Cytotoxic T‐cell Epitopes in Three PE/PPE Family Proteins of Mycobacterium tuberculosis. Scandinavian Journal of Immunology. 67(4). 411–417. 14 indexed citations
2.
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Vani, Janakiraman, R. Nayak, & M.S. Shaila. (2007). Maintenance of antigen‐specific immunological memory through variable regions of heavy and light chains of anti‐idiotypic antibody. Immunology. 120(4). 486–496. 14 indexed citations
4.
5.
Lal, Girdhari, M.S. Shaila, & R. Nayak. (2005). Idiotypic T cells specific for Morbillivirus nucleocapsid protein process and present their TCR to cognate anti-idiotypic CD8+ T cells. Immunology Letters. 102(2). 132–140. 5 indexed citations
6.
Lal, Girdhari, M.S. Shaila, & R. Nayak. (2005). Booster immunization of antigen primed mice with anti-idiotypic T cells generates antigen-specific memory T cell response. Vaccine. 24(8). 1149–1158. 8 indexed citations
7.
Sinnathamby, Gomathinayagam, Shaguna Seth, R. Nayak, & M.S. Shaila. (2004). Cytotoxic T Cell Epitope in Cattle from the Attachment Glycoproteins of Rinderpest and Peste des Petits Ruminants Viruses. Viral Immunology. 17(3). 401–410. 14 indexed citations
8.
Mitra‐Kaushik, Shibani, M.S. Shaila, Anjali A. Karande, & R. Nayak. (2002). Idiotype and anti-idiotype specific T cell responses on transplantation with hybridomas reactive to viral hemagglutinin and human tumor antigen. Immunology Letters. 80(2). 81–87. 11 indexed citations
9.
Sinnathamby, Gomathinayagam, Gourapura J. Renukaradhya, M. Rajasekhar, R. Nayak, & M.S. Shaila. (2001). Immune responses in goats to recombinant hemagglutinin-neuraminidase glycoprotein of Peste des petits ruminants virus: identification of a T cell determinant. Vaccine. 19(32). 4816–4823. 44 indexed citations
10.
11.
Sinnathamby, Gomathinayagam, R. Nayak, & M.S. Shaila. (2001). Mapping of T-Helper Epitopes of Rinderpest Virus Hemagglutinin Protein. Viral Immunology. 14(1). 83–92. 13 indexed citations
12.
Sinnathamby, Gomathinayagam, Gourapura J. Renukaradhya, M. Rajasekhar, R. Nayak, & M.S. Shaila. (2001). Recombinant Hemagglutinin Protein of Rinderpest Virus Expressed in Insect Cells Induces Cytotoxic T-Cell Responses in Cattle. Viral Immunology. 14(4). 349–358. 10 indexed citations
13.
Sinnathamby, Gomathinayagam, et al.. (2001). Recombinant hemagglutinin protein of rinderpest virus expressed in insect cells induces humoral and cell mediated immune responses in cattle. Vaccine. 19(28-29). 3870–3876. 17 indexed citations
14.
Ghosh, Arundhati, R. Nayak, & M.S. Shaila. (1996). Synthesis of leader RNA and editing of P mRNA during transcription by rinderpest virus. Virus Research. 41(1). 69–76. 10 indexed citations
15.
Ghosh, Arundhati, R. Nayak, & M.S. Shaila. (1994). Altered ultrastructure of rinderpest virus and its nucleocapsids induced by 5-fluorouracil. NOT FOUND REPOSITORY (Indian Institute of Science Bangalore). 4 indexed citations
16.
Balaji, Kithiganahalli Narayanaswamy & R. Nayak. (1992). Effect of 5-fluorouracil on interleukin-2 expression. Biochemical and Biophysical Research Communications. 187(1). 305–309. 2 indexed citations
17.
Nayak, R., et al.. (1990). A spectrophotometric method for detection of 5′-fluorouracil in plasma. Biochemical and Biophysical Research Communications. 169(3). 1153–1157. 3 indexed citations
18.
Kumar, Ankit & R. Nayak. (1988). Rapid isolation of lysyl-tRNA synthetase from rat liver. Biochemical and Biophysical Research Communications. 152(2). 593–597. 2 indexed citations
19.
Das, Ranjit Kumar & R. Nayak. (1988). Spermatocyte chromosome alterations in mice inoculated with antirabies vaccine and tetanus toxoid separately and in combination. Mutation Research/Genetic Toxicology. 204(2). 277–282. 7 indexed citations
20.
Nayak, R. & M Sirsi. (1973). Role of magnesium ion on the interaction between chromomycin A3 and deoxyribonucleic acid. FEBS Letters. 30(2). 157–162. 28 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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