Sonia Iyer

94 total papers · 997 total citations
22 papers, 482 citations indexed

About

Sonia Iyer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Sonia Iyer has authored 22 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Immunology. Recurrent topics in Sonia Iyer's work include PI3K/AKT/mTOR signaling in cancer (7 papers), Ovarian cancer diagnosis and treatment (4 papers) and PARP inhibition in cancer therapy (3 papers). Sonia Iyer is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (7 papers), Ovarian cancer diagnosis and treatment (4 papers) and PARP inhibition in cancer therapy (3 papers). Sonia Iyer collaborates with scholars based in United States, United Kingdom and South Korea. Sonia Iyer's co-authors include William G. Kerr, Robert W. Brooks, Gwenny M. Fuhler, John D. Chisholm, Robert W. Engelman, Mi-Young Park, Matthew Gumbleton, Kim H.T. Paraiso, Michelle J. Smith and Sandra Fernandes and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Sonia Iyer

21 papers receiving 480 citations

Author Peers

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

Author Last Decade Papers Cites
Sonia Iyer 280 155 119 65 43 22 482
Simone S. Riedel 261 0.9× 134 0.9× 81 0.7× 47 0.7× 34 0.8× 30 476
Lee Wisner 217 0.8× 117 0.8× 195 1.6× 86 1.3× 29 0.7× 21 543
D Baban 339 1.2× 79 0.5× 107 0.9× 99 1.5× 23 0.5× 17 506
Isabelle Lelong-Rebel 254 0.9× 70 0.5× 172 1.4× 116 1.8× 76 1.8× 19 489
Rebecca Goldstein 250 0.9× 126 0.8× 171 1.4× 30 0.5× 24 0.6× 22 464
Robert Seed 231 0.8× 135 0.9× 190 1.6× 113 1.7× 40 0.9× 18 537
Justin Wang 199 0.7× 122 0.8× 140 1.2× 83 1.3× 44 1.0× 12 419
Min Yu 249 0.9× 170 1.1× 73 0.6× 62 1.0× 41 1.0× 22 462
Tatiana Carneiro-Lobo 195 0.7× 96 0.6× 143 1.2× 82 1.3× 28 0.7× 14 515
Hong Seo Choi 272 1.0× 60 0.4× 86 0.7× 49 0.8× 48 1.1× 24 422

Countries citing papers authored by Sonia Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Sonia Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonia Iyer

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