Patricia Rafferty

765 total citations
13 papers, 642 citations indexed

About

Patricia Rafferty is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Patricia Rafferty has authored 13 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 6 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Patricia Rafferty's work include CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (2 papers) and Signaling Pathways in Disease (2 papers). Patricia Rafferty is often cited by papers focused on CAR-T cell therapy research (3 papers), Immune Cell Function and Interaction (2 papers) and Signaling Pathways in Disease (2 papers). Patricia Rafferty collaborates with scholars based in United States, United Kingdom and Netherlands. Patricia Rafferty's co-authors include Peter J. Bugelski, Marian T. Nakada, Yan Li, Hillary J. Millar, Francis L. McCabe, Prabakaran Kesavan, Yi Tang, Linda A. Snyder, Yi Tang and Mark Cunningham and has published in prestigious journals such as Cancer Research, Journal of Bone and Joint Surgery and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Patricia Rafferty

13 papers receiving 633 citations

Peers

Patricia Rafferty
Comparison fields: 5 of 84
  • Molecular Biology 370
  • Immunology 252
  • Oncology 201
  • Cancer Research 109
  • Physiology 79
Replace Lianjie Shi with:
Lianjie Shi China
Niki Karagianni Greece
Ken Tawara United States
Karim Harhouri France
Kar Wai Tan Singapore
Massimo Masiero Italy
Li Ling China
Jian Kang China
Galit Shahaf Israel
Kiyotaka Kawauchi Japan
Lianjie Shi China View profile →
Citations per field, relative to Patricia Rafferty
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Citations per year, relative to Patricia Rafferty
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Countries citing papers authored by Patricia Rafferty

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Rafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Rafferty

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Rafferty. A scholar is included among the top collaborators of Patricia Rafferty 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 Patricia Rafferty. Patricia Rafferty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 10
2 9
3 42
4 14
5 34
6 9
7 1
8 11
9 111
10 297
11 73
12 22
13
Ultrastructural localization of human papilloma virus by nonradioactive in situ hybridization on tissue of human cervical intraepithelial neoplasia.
9

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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