Madhu Prabhakaran

35 total papers · 2.0k total citations
11 papers, 355 citations indexed

About

Madhu Prabhakaran is a scholar working on Epidemiology, Immunology and Virology. According to data from OpenAlex, Madhu Prabhakaran has authored 11 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Immunology and 3 papers in Virology. Recurrent topics in Madhu Prabhakaran's work include Immune Cell Function and Interaction (5 papers), Influenza Virus Research Studies (5 papers) and T-cell and B-cell Immunology (3 papers). Madhu Prabhakaran is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Influenza Virus Research Studies (5 papers) and T-cell and B-cell Immunology (3 papers). Madhu Prabhakaran collaborates with scholars based in United States, Sweden and Netherlands. Madhu Prabhakaran's co-authors include Adrian B. McDermott, Adam K. Wheatley, Ivan Košík, Heather D. Hickman, Davide Angeletti, Jonathan W. Yewdell, Matthew Angel, David J. Leggat, Suman R. Das and James S. Gibbs and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Nature Immunology.

In The Last Decade

Madhu Prabhakaran

10 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Madhu Prabhakaran 186 164 91 71 69 11 355
Victória Alves Santos Lunardelli 73 0.4× 157 1.0× 104 1.1× 29 0.4× 94 1.4× 10 319
Shelly Wang 116 0.6× 170 1.0× 171 1.9× 19 0.3× 69 1.0× 12 383
A K Judd 114 0.6× 64 0.4× 138 1.5× 48 0.7× 54 0.8× 14 340
David Skibinski 91 0.5× 127 0.8× 122 1.3× 39 0.5× 81 1.2× 15 382
Iain Shaw 73 0.4× 214 1.3× 154 1.7× 53 0.7× 17 0.2× 15 395
Donatello Laera 76 0.4× 140 0.9× 138 1.5× 28 0.4× 87 1.3× 11 341
Sabine Nakowitsch 154 0.8× 100 0.6× 97 1.1× 29 0.4× 75 1.1× 14 329
Silvie Van den Hoecke 173 0.9× 74 0.5× 108 1.2× 79 1.1× 67 1.0× 10 293
Tilo Senger 189 1.0× 112 0.7× 96 1.1× 17 0.2× 97 1.4× 10 357
Vincent S. Tchang 76 0.4× 92 0.6× 124 1.4× 27 0.4× 29 0.4× 9 373

Countries citing papers authored by Madhu Prabhakaran

Since Specialization
Citations

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

Fields of papers citing papers by Madhu Prabhakaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhu Prabhakaran

This figure shows the co-authorship network connecting the top 25 collaborators of Madhu Prabhakaran. A scholar is included among the top collaborators of Madhu Prabhakaran 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 Madhu Prabhakaran. Madhu Prabhakaran 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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