Jaya Rajamani

32 total papers · 866 total citations
23 papers, 675 citations indexed

About

Jaya Rajamani is a scholar working on Epidemiology, Immunology and Virology. According to data from OpenAlex, Jaya Rajamani has authored 23 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 8 papers in Immunology and 6 papers in Virology. Recurrent topics in Jaya Rajamani's work include Herpesvirus Infections and Treatments (20 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Poxvirus research and outbreaks (6 papers). Jaya Rajamani is often cited by papers focused on Herpesvirus Infections and Treatments (20 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Poxvirus research and outbreaks (6 papers). Jaya Rajamani collaborates with scholars based in United States, Australia and France. Jaya Rajamani's co-authors include Ann M. Arvin, Marvin Sommer, Leigh Zerboni, Stefan L. Oliver, Mike Reichelt, Xibing Che, Barbara Berarducci, Li Wang, Nandini Sen and Phillip Sung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Virology.

In The Last Decade

Jaya Rajamani

22 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Jaya Rajamani	533	195	136	135	117	23	675
H J Kung	460 0.9×	137 0.7×	138 1.0×	99 0.7×	65 0.6×	15	634
Norman Ross	513 1.0×	132 0.7×	113 0.8×	71 0.5×	74 0.6×	22	661
Xibing Che	371 0.7×	195 1.0×	114 0.8×	95 0.7×	119 1.0×	24	659
David Pasdeloup	426 0.8×	166 0.9×	136 1.0×	131 1.0×	34 0.3×	13	624
John E. Carpenter	549 1.0×	113 0.6×	117 0.9×	92 0.7×	63 0.5×	24	717
Carlos Lopez	479 0.9×	185 0.9×	67 0.5×	58 0.4×	108 0.9×	19	726
M. Rennie	569 1.1×	240 1.2×	96 0.7×	37 0.3×	145 1.2×	35	768
H. Moss	504 0.9×	131 0.7×	70 0.5×	99 0.7×	39 0.3×	12	567
Nicholas van Buuren	351 0.7×	167 0.9×	246 1.8×	214 1.6×	35 0.3×	27	738
Anne Binz	530 1.0×	159 0.8×	129 0.9×	54 0.4×	21 0.2×	16	624

Countries citing papers authored by Jaya Rajamani

Since Specialization

Citations

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

Fields of papers citing papers by Jaya Rajamani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaya Rajamani

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