Jaya Vejayan

53 total papers · 781 total citations
35 papers, 608 citations indexed

About

Jaya Vejayan is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jaya Vejayan has authored 35 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Plant Science. Recurrent topics in Jaya Vejayan's work include Venomous Animal Envenomation and Studies (10 papers), Phytochemical compounds biological activities (8 papers) and Lipid Membrane Structure and Behavior (5 papers). Jaya Vejayan is often cited by papers focused on Venomous Animal Envenomation and Studies (10 papers), Phytochemical compounds biological activities (8 papers) and Lipid Membrane Structure and Behavior (5 papers). Jaya Vejayan collaborates with scholars based in Malaysia, Australia and Myanmar. Jaya Vejayan's co-authors include Mashitah M. Yusoff, A.K.M. Kafi, Halijah Ibrahim, Stephen Ambu, Khalijah Awang, Kazeem Dauda Adeyemi, M.S. Salwani, Awis Qurni Sazili, I. Zulkifli and Lay Khoon Too and has published in prestigious journals such as Biosensors and Bioelectronics, Journal of Ethnopharmacology and International Journal of Biological Macromolecules.

In The Last Decade

Jaya Vejayan

34 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Jaya Vejayan 251 134 103 91 66 35 608
Rajesh Krishnan 262 1.0× 48 0.4× 69 0.7× 94 1.0× 56 0.8× 32 595
Mingren Qu 144 0.6× 46 0.3× 62 0.6× 98 1.1× 103 1.6× 44 577
Lanjiao Xu 143 0.6× 40 0.3× 118 1.1× 57 0.6× 83 1.3× 33 506
Anabel Rodríguez 361 1.4× 78 0.6× 47 0.5× 132 1.5× 38 0.6× 37 663
Takenori Satomura 409 1.6× 117 0.9× 141 1.4× 63 0.7× 65 1.0× 56 681
María Victoria Miranda 319 1.3× 51 0.4× 57 0.6× 156 1.7× 50 0.8× 59 635
Joyati Das 217 0.9× 24 0.2× 61 0.6× 148 1.6× 114 1.7× 30 689
Teijirô Uemura 343 1.4× 45 0.3× 43 0.4× 102 1.1× 66 1.0× 81 585
Can Chen 263 1.0× 48 0.4× 27 0.3× 191 2.1× 48 0.7× 34 552
Yinyin Chen 190 0.8× 53 0.4× 71 0.7× 34 0.4× 78 1.2× 26 562

Countries citing papers authored by Jaya Vejayan

Since Specialization
Citations

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

Fields of papers citing papers by Jaya Vejayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaya Vejayan

This figure shows the co-authorship network connecting the top 25 collaborators of Jaya Vejayan. A scholar is included among the top collaborators of Jaya Vejayan 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 Vejayan. Jaya Vejayan 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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2026