Jaya Rajamani

876 citations
23 papers · 679 indexed · h-index 17
Topics
Herpesvirus Infections and Treatments (20 papers)Toxin Mechanisms and Immunotoxins (7 papers)Virus-based gene therapy research (6 papers)

In The Last Decade

Jaya Rajamani

22 papers receiving 663 citations

Peers

Jaya Rajamani
Comparison fields: 5 of 53
  • Epidemiology 536
  • Immunology 195
  • Molecular Biology 136
  • Virology 135
  • Animal Science and Zoology 117
Replace Xibing Che with:
Xibing Che United States
Melissa Inman United States
David J. Davido United States
H J Kung United States
Roman Tomazin United States
Mary Jane Nicholl United Kingdom
Jesse H. Arbuckle United States
Christopher D. Meiering United States
Gerardo Abenes United States
Blair L. Strang United Kingdom
Jaya Rajamani relative to Xibing Che United States Xibing Che's profile →
Citations per field
00.5×1.6×
Xibing Che · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 3
2
Predictors of peripheral neuropathy and effects of fenofibrate among 9,795 subjects with type 2 diabetes: the fenofibrate intervention and event lowering in diabetes (FIELD) study
0
3 12
4 57
5 85
6 41
7 42
8 33
9 33
10 50
11 30
12 20
13 23
14 51
15 35
16 2
17 41
18 20
19 26
20 14

About Jaya Rajamani

Jaya Rajamani is a scholar working on Virology, Parasitology and Epidemiology, having authored 23 papers that have together received 679 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (20 papers), Toxin Mechanisms and Immunotoxins (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Virology (135 citations), Parasitology (107 citations) and Epidemiology (536 citations). Jaya Rajamani has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Ann M. Arvin, Marvin Sommer, Leigh Zerboni, Xibing Che, Stefan L. Oliver, Mike Reichelt, Barbara Berarducci, Li Wang, Nandini Sen and Phillip Sung. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research 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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