Virginia Seery

40 total papers · 811 total citations
23 papers, 591 citations indexed

About

Virginia Seery is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Virginia Seery has authored 23 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 5 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Virginia Seery's work include Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (7 papers) and Cutaneous Melanoma Detection and Management (7 papers). Virginia Seery is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), CAR-T cell therapy research (7 papers) and Cutaneous Melanoma Detection and Management (7 papers). Virginia Seery collaborates with scholars based in United States, Israel and India. Virginia Seery's co-authors include Michael B. Atkins, David F. McDermott, Thomas E. Hutson, Hans J. Hammers, Brian I. Rini, Eric Jonasch, Christopher G. Wood, Laura S. Wood, Martin H. Voss and Rupal S. Bhatt and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer.

In The Last Decade

Virginia Seery

23 papers receiving 576 citations

Author Peers

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

Author Last Decade Papers Cites
Virginia Seery 312 286 223 122 119 23 591
Paul Mansfield 299 1.0× 201 0.7× 211 0.9× 89 0.7× 83 0.7× 18 629
Soo Hee Kim 330 1.1× 285 1.0× 207 0.9× 158 1.3× 66 0.6× 37 651
R. Molife 292 0.9× 277 1.0× 301 1.3× 162 1.3× 54 0.5× 24 694
Stefania Infusino 366 1.2× 209 0.7× 180 0.8× 104 0.9× 139 1.2× 18 668
Chiara Della Pepa 250 0.8× 172 0.6× 198 0.9× 156 1.3× 100 0.8× 22 638
F. De Vita 407 1.3× 196 0.7× 200 0.9× 221 1.8× 54 0.5× 37 691
Prateek Mendiratta 236 0.8× 252 0.9× 184 0.8× 116 1.0× 122 1.0× 37 576
Fei Lian 191 0.6× 213 0.7× 333 1.5× 163 1.3× 58 0.5× 33 666
Jürgen Wolf 275 0.9× 202 0.7× 209 0.9× 130 1.1× 137 1.2× 25 605
A. Van Oosterom 270 0.9× 210 0.7× 239 1.1× 130 1.1× 35 0.3× 29 583

Countries citing papers authored by Virginia Seery

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Seery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Seery

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