Paula Perkins

17 total papers · 1.1k total citations
12 papers, 349 citations indexed

About

Paula Perkins is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Paula Perkins has authored 12 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Hematology. Recurrent topics in Paula Perkins's work include CAR-T cell therapy research (3 papers), Blood groups and transfusion (3 papers) and Platelet Disorders and Treatments (3 papers). Paula Perkins is often cited by papers focused on CAR-T cell therapy research (3 papers), Blood groups and transfusion (3 papers) and Platelet Disorders and Treatments (3 papers). Paula Perkins collaborates with scholars based in United States, United Kingdom and South Africa. Paula Perkins's co-authors include Kevin Blades, Shaun Fillery, Lorraine Hassall, Kin Yip Tam, Anna Cronin, Thomas M. McGuire, Kevin M. Foote, Pia Thömmes, Xavier Jacq and Christine Wood and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Journal of Medicinal Chemistry.

In The Last Decade

Paula Perkins

11 papers receiving 341 citations

Author Peers

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

Author Last Decade Papers Cites
Paula Perkins 239 99 68 27 21 12 349
Matthew J. Henley 280 1.2× 67 0.7× 38 0.6× 18 0.7× 20 1.0× 13 351
R. Shi 243 1.0× 87 0.9× 35 0.5× 12 0.4× 41 2.0× 12 312
Kaoru Mitsuhashi 311 1.3× 93 0.9× 49 0.7× 36 1.3× 11 0.5× 7 387
Álvaro Lorente‐Macías 163 0.7× 56 0.6× 93 1.4× 17 0.6× 21 1.0× 15 332
Helen Plant 261 1.1× 88 0.9× 74 1.1× 11 0.4× 18 0.9× 15 377
Chandrasekhar V. Miduturu 243 1.0× 65 0.7× 56 0.8× 29 1.1× 27 1.3× 11 338
Marlena Walls 202 0.8× 84 0.8× 51 0.8× 26 1.0× 6 0.3× 11 310
Ban Xiong Tan 289 1.2× 104 1.1× 114 1.7× 50 1.9× 9 0.4× 9 346
Elisabetta Di Bello 227 0.9× 74 0.7× 46 0.7× 18 0.7× 10 0.5× 14 354
Neil Hewitt 273 1.1× 89 0.9× 28 0.4× 15 0.6× 22 1.0× 11 367

Countries citing papers authored by Paula Perkins

Since Specialization
Citations

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

Fields of papers citing papers by Paula Perkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Perkins

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