Uma Thanigai Arasu

24 total papers · 734 total citations
13 papers, 460 citations indexed

About

Uma Thanigai Arasu is a scholar working on Molecular Biology, Cancer Research and Immunology and Allergy. According to data from OpenAlex, Uma Thanigai Arasu has authored 13 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Immunology and Allergy. Recurrent topics in Uma Thanigai Arasu's work include Extracellular vesicles in disease (6 papers), Cell Adhesion Molecules Research (5 papers) and MicroRNA in disease regulation (5 papers). Uma Thanigai Arasu is often cited by papers focused on Extracellular vesicles in disease (6 papers), Cell Adhesion Molecules Research (5 papers) and MicroRNA in disease regulation (5 papers). Uma Thanigai Arasu collaborates with scholars based in Finland, United States and Sweden. Uma Thanigai Arasu's co-authors include Kirsi Rilla, Kai Härkönen, Petteri Nieminen, Anne‐Mari Mustonen, Sanna Oikari, Riikka Kärnä, Ashik Jawahar Deen, Arto Koistinen, Markku Tammi and Sanna Pasonen‐Seppänen and has published in prestigious journals such as The American Journal of Human Genetics, Cellular and Molecular Life Sciences and Experimental Cell Research.

In The Last Decade

Uma Thanigai Arasu

12 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Uma Thanigai Arasu 353 150 107 63 61 13 460
Mary C. Whelan 276 0.8× 94 0.6× 102 1.0× 108 1.7× 44 0.7× 13 493
Kalle Sipilä 208 0.6× 64 0.4× 83 0.8× 80 1.3× 61 1.0× 15 459
Hyeongil Kwak 336 1.0× 99 0.7× 145 1.4× 60 1.0× 101 1.7× 16 544
Brian J. Grindel 266 0.8× 74 0.5× 172 1.6× 45 0.7× 32 0.5× 21 478
Stefano Marastoni 302 0.9× 112 0.7× 78 0.7× 98 1.6× 87 1.4× 14 524
Melane Fehrenbach 227 0.6× 58 0.4× 88 0.8× 62 1.0× 64 1.0× 13 449
Maria Luisa D’Angelo 224 0.6× 118 0.8× 204 1.9× 37 0.6× 33 0.5× 12 442
Alexandra Fullár 258 0.7× 136 0.9× 153 1.4× 41 0.7× 74 1.2× 15 520
Beverly B. Lavietes 208 0.6× 164 1.1× 80 0.7× 105 1.7× 53 0.9× 11 517
Arianna Parnigoni 300 0.8× 111 0.7× 215 2.0× 36 0.6× 63 1.0× 17 499

Countries citing papers authored by Uma Thanigai Arasu

Since Specialization
Citations

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

Fields of papers citing papers by Uma Thanigai Arasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Uma Thanigai Arasu. 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 Uma Thanigai Arasu. The network helps show where Uma Thanigai Arasu may publish in the future.

Co-authorship network of co-authors of Uma Thanigai Arasu

This figure shows the co-authorship network connecting the top 25 collaborators of Uma Thanigai Arasu. A scholar is included among the top collaborators of Uma Thanigai Arasu 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 Uma Thanigai Arasu. Uma Thanigai Arasu 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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