Laxman Nayak

2.9k citations
16 papers · 2.2k indexed · 1 hit paper · h-index 13
Topics
Immune Cell Function and Interaction (8 papers)Cytomegalovirus and herpesvirus research (6 papers)T-cell and B-cell Immunology (6 papers)
Partner nations
United KingdomAustralia

In The Last Decade

Laxman Nayak

16 papers receiving 2.2k citations

Hit Papers

Cytomegalovirus Seropositivity Drives the CD8 T Cell Repe...20022026201020182002100200300400500

Peers

Laxman Nayak
Comparison fields: 5 of 134
  • Immunology 1.3k
  • Epidemiology 1.0k
  • Neurology 216
  • Oncology 191
  • Molecular Biology 167
Replace Raquel Tarazona with:
Raquel Tarazona Spain
Brian P. O’Connor United States
Francesco Fagnoni Italy
Giovanni Almanzar Germany
Nicolas Fazilleau France
Takashi Senda United States
R. Carlsson Sweden
Naomi Yudanin United States
Saya Moriyama Japan
Denise Williams United Kingdom
Laxman Nayak relative to Raquel Tarazona Spain Raquel Tarazona's profile →
Citations per field
00.5×1.5×
Raquel Tarazona · 1×
Citations per year

Countries citing papers authored by Laxman Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Laxman Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laxman Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Laxman Nayak. A scholar is included among the top collaborators of Laxman 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 Laxman Nayak. Laxman Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 57
2 199
3 172
4 33
5 74
6 119
7 15
8 26
9 7
10
Research Ageing is associated with a decline in peripheral blood CD56 bright NK cells
3
11 291
12 269
13
Cytomegalovirus Seropositivity Drives the CD8 T Cell Repertoire Toward Greater Clonality in Healthy Elderly Individualsbreakdown →
570
14 53
15 298
16 2

About Laxman Nayak

Laxman Nayak is a scholar working on Immunology, Information Systems and Management and Demography, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Cytomegalovirus and herpesvirus research (6 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Immunology (1.3k citations), Epidemiology (1.0k citations) and Biological Psychiatry (67 citations). Laxman Nayak has collaborated with scholars based in United Kingdom and Australia. Frequent co-authors include Paul Moss, Naeem Khan, Rachel Bruton, Mark Cobbold, Alan J. Sinclair, Alan B. Rickinson, Rajiv Khanna, Elizabeth Sapey, Janet M. Lord and N. Henriquez. Their work appears in journals such as Blood, The Journal of Immunology and Journal of Virology.

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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