Laxman Nayak

17 total papers · 2.9k total citations
16 papers, 2.2k citations indexed

About

Laxman Nayak is a scholar working on Immunology, Epidemiology and Demography. According to data from OpenAlex, Laxman Nayak has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Epidemiology and 3 papers in Demography. Recurrent topics in Laxman Nayak's work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Laxman Nayak is often cited by papers focused on Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Laxman Nayak collaborates with scholars based in United Kingdom and Australia. Laxman Nayak's co-authors include Naeem Khan, Paul Moss, Rachel Bruton, Mark Cobbold, Alan J. Sinclair, Alan B. Rickinson, Rajiv Khanna, Hema Chahal, Deirdre O’Mahony and Ronjon Chakraverty and has published in prestigious journals such as Blood, The Journal of Immunology and Journal of Virology.

In The Last Decade

Laxman Nayak

16 papers receiving 2.1k citations

Hit Papers

Cytomegalovirus Seroposit... 2002 2026 2010 2018 2002 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laxman Nayak 1.3k 1.0k 216 191 166 16 2.2k
Wolf‐Dietrich Döcke 891 0.7× 591 0.6× 168 0.8× 186 1.0× 233 1.4× 31 1.7k
Susmit Suvas 1.6k 1.3× 603 0.6× 77 0.4× 215 1.1× 304 1.8× 51 2.5k
Sarah Jackson 1.1k 0.9× 1.2k 1.2× 102 0.5× 244 1.3× 655 3.9× 36 2.5k
John Goulding 1.0k 0.8× 545 0.5× 95 0.4× 236 1.2× 264 1.6× 30 1.7k
J E Scherberich 1.4k 1.1× 347 0.3× 155 0.7× 298 1.6× 436 2.6× 17 2.2k
Kok Loon Wong 1.2k 0.9× 321 0.3× 120 0.6× 255 1.3× 366 2.2× 15 1.8k
Rosanna Vescovini 1.3k 1.0× 635 0.6× 214 1.0× 462 2.4× 464 2.8× 46 2.6k
Alejandra Pera 1.1k 0.8× 453 0.4× 236 1.1× 295 1.5× 239 1.4× 43 1.7k
Wolfgang Mutter 1.3k 1.0× 1000 1.0× 53 0.2× 301 1.6× 462 2.8× 11 2.5k
HW Ziegler-Heitbrock 1.6k 1.2× 303 0.3× 144 0.7× 309 1.6× 386 2.3× 21 2.2k

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

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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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