Varshini Vasudevaraja

130 total papers · 1.9k total citations
29 papers, 725 citations indexed

About

Varshini Vasudevaraja is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Varshini Vasudevaraja has authored 29 papers receiving a total of 725 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Genetics and 11 papers in Cancer Research. Recurrent topics in Varshini Vasudevaraja's work include Glioma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (5 papers) and Chromatin Remodeling and Cancer (5 papers). Varshini Vasudevaraja is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Cancer Genomics and Diagnostics (5 papers) and Chromatin Remodeling and Cancer (5 papers). Varshini Vasudevaraja collaborates with scholars based in United States, Brazil and Singapore. Varshini Vasudevaraja's co-authors include Matija Snuderl, Jonathan Serrano, Aristotelis Tsirigos, Ernesto Guccione, Karin Lilja, Pamela Wu, Diana Argibay, Beatriz Sánchez‐Sendra, Jochen Imig and Andreas Kloetgen and has published in prestigious journals such as Cancer Cell, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Varshini Vasudevaraja

26 papers receiving 720 citations

Author Peers

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

Author Last Decade Papers Cites
Varshini Vasudevaraja 439 269 154 144 105 29 725
John B. Hamner 367 0.8× 227 0.8× 102 0.7× 326 2.3× 169 1.6× 27 845
Rongrong Zhao 527 1.2× 347 1.3× 124 0.8× 86 0.6× 111 1.1× 32 829
Agadha Wickremesekera 325 0.7× 151 0.6× 139 0.9× 189 1.3× 112 1.1× 42 787
Mohammed Khurshed 339 0.8× 229 0.9× 239 1.6× 172 1.2× 57 0.5× 29 641
Philipp Euskirchen 270 0.6× 157 0.6× 293 1.9× 70 0.5× 82 0.8× 25 677
Pierpaolo Peruzzi 466 1.1× 357 1.3× 171 1.1× 107 0.7× 33 0.3× 29 780
Jan Sadones 437 1.0× 349 1.3× 430 2.8× 151 1.0× 165 1.6× 17 821
Mahshid Saleh 204 0.5× 119 0.4× 295 1.9× 179 1.2× 82 0.8× 22 662
Koji Oka 310 0.7× 195 0.7× 350 2.3× 227 1.6× 138 1.3× 23 727
Francesca Orzan 392 0.9× 279 1.0× 173 1.1× 380 2.6× 185 1.8× 24 900

Countries citing papers authored by Varshini Vasudevaraja

Since Specialization
Citations

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

Fields of papers citing papers by Varshini Vasudevaraja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varshini Vasudevaraja

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