R. Nayak

1.2k citations
58 papers · 1.0k indexed · h-index 18
Topics
Immunotherapy and Immune Responses (15 papers)vaccines and immunoinformatics approaches (13 papers)T-cell and B-cell Immunology (12 papers)
Partner nations
IndiaUnited StatesIsrael

In The Last Decade

R. Nayak

56 papers receiving 977 citations

Peers

R. Nayak
Comparison fields: 5 of 73
  • Molecular Biology 533
  • Epidemiology 312
  • Infectious Diseases 256
  • Immunology 241
  • Oncology 235
Replace Christopher W. Marlor with:
Christopher W. Marlor United States
Theodora Fifis Australia
Peter H. Goff United States
Michael P. Rudolf Switzerland
David Feltquate United States
Gomathinayagam Sinnathamby United States
N. B. Finter United Kingdom
Royce Z. Lockart United States
Gloria Ramírez Colombia
Cheng‐I Wang Singapore
R. Nayak relative to Christopher W. Marlor United States Christopher W. Marlor's profile →
Citations per field
00.5×1.6×
Christopher W. Marlor · 1×
Citations per year

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
#WorkIndexed citations
1 14
2 4
3 14
4 31
5 5
6 8
7 14
8 11
9 44
10 36
11 13
12 10
13 17
14 10
15
Altered ultrastructure of rinderpest virus and its nucleocapsids induced by 5-fluorouracil
4
16 2
17 3
18 2
19 7
20 28

About R. Nayak

R. Nayak is a scholar working on Immunology, Infectious Diseases and Molecular Biology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), vaccines and immunoinformatics approaches (13 papers) and T-cell and B-cell Immunology (12 papers). The work is most often cited by research in Infectious Diseases (256 citations), Immunology (241 citations) and Epidemiology (312 citations). R. Nayak has collaborated with scholars based in India, United States and Israel. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer and Biochemical and Biophysical Research Communications.

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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