Suvi Sorsa

72 total papers · 999 total citations
22 papers, 715 citations indexed

About

Suvi Sorsa is a scholar working on Oncology, Genetics and Molecular Biology. According to data from OpenAlex, Suvi Sorsa has authored 22 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 20 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Suvi Sorsa's work include CAR-T cell therapy research (22 papers), Virus-based gene therapy research (20 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Suvi Sorsa is often cited by papers focused on CAR-T cell therapy research (22 papers), Virus-based gene therapy research (20 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). Suvi Sorsa collaborates with scholars based in Finland, United States and Denmark. Suvi Sorsa's co-authors include Akseli Hemminki, Riikka Havunen, Mikko Siurala, João M. Santos, Siri Tähtinen, Anna Kanerva, Víctor Cervera-Carrascón, Marjukka Anttila, Sònia Guedan and Regina M. Young and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Suvi Sorsa

21 papers receiving 704 citations

Author Peers

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

Author Last Decade Papers Cites
Suvi Sorsa 615 482 239 217 140 22 715
Meijun Zheng 489 0.8× 306 0.6× 229 1.0× 250 1.2× 78 0.6× 26 791
Jessica Wenthe 605 1.0× 302 0.6× 221 0.9× 313 1.4× 82 0.6× 24 781
Arnold Kloos 406 0.7× 276 0.6× 220 0.9× 240 1.1× 65 0.5× 27 629
Kevin G. Shim 372 0.6× 315 0.7× 218 0.9× 212 1.0× 66 0.5× 28 627
Jennifer Coleman 403 0.7× 444 0.9× 264 1.1× 140 0.6× 45 0.3× 19 673
Robert Hans Ingemar Andtbacka 716 1.2× 375 0.8× 275 1.2× 382 1.8× 78 0.6× 41 794
Patricia E. Koch 263 0.4× 434 0.9× 555 2.3× 111 0.5× 154 1.1× 18 895
Sara Feola 331 0.5× 232 0.5× 343 1.4× 291 1.3× 86 0.6× 33 679
Chris Twitty 328 0.5× 126 0.3× 257 1.1× 390 1.8× 75 0.5× 18 651
Anthony K. Park 716 1.2× 363 0.8× 210 0.9× 253 1.2× 74 0.5× 23 820

Countries citing papers authored by Suvi Sorsa

Since Specialization
Citations

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

Fields of papers citing papers by Suvi Sorsa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suvi Sorsa

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