Preethi Jayanth

1.1k citations
25 papers · 920 · h-index 18

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Glycosylation and Glycoproteins Research
    • RNA and protein synthesis mechanisms

Papers in

    • Glycosylation and Glycoproteins Research 5
    • RNA Interference and Gene Delivery 3
    • Immune Response and Inflammation 7
    • Galectins and Cancer Biology 3

Preethi Jayanth

25 papers receiving 902 citations

Peers

Preethi Jayanth
Comparison fields: 5 of 72
  • Immunology 332
  • Molecular Biology 606
  • Virology 35
  • Cancer Research 104
  • Immunology and Allergy 39
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Preethi Jayanth relative to Jeffrey A. Heibein Canada Jeffrey A. Heibein's profile →
Citations per field
00.5×3.8×
Jeffrey A. Heibein · 1×
Citations per year

Countries citing papers authored by Preethi Jayanth

Since Specialization
Citations

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

Fields of papers citing papers by Preethi Jayanth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Preethi Jayanth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Preethi Jayanth Line = papers co-authored together Preethi Jayanth links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009153
2 2009106
3 201373
4 201173
5 200971
6 202166
7 201058
8 201250
9 201034
10 200725
11 201024
12 201024
13 200524
14 201923
15 201220
16 200918
17 200618
18 200517
19 201216
20 202211

About Preethi Jayanth

Preethi Jayanth is a scholar working on Molecular Biology, Immunology, Hematology, Epidemiology and Genetics, having authored 25 papers that have together received 920 indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Acute Myeloid Leukemia Research (5 papers), Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (3 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), Metabolism and Genetic Disorders (2 papers) and Nigella sativa pharmacological applications (2 papers). The work is most often cited by research in Immunology (332 citations), Molecular Biology (606 citations), Virology (35 citations), Cancer Research (104 citations) and Immunology and Allergy (39 citations). Preethi Jayanth has collaborated with scholars based in Canada, Belgium and United States. Frequent co-authors include Myron R. Szewczuk, Schammim Ray Amith, Rudi Beyaert, Susan Franchuk, Volkan Seyrantepe, Alexey V. Pshezhetsky, Katrina Gee, Trisha M. Finlay, Samar Abdulkhalek and Farah Mustafa. Their work appears in journals such as Cellular Signalling, Blood, Journal of Visualized Experiments, Microbes and Infection and Journal of Biological Chemistry.

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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