Patricia Farmer

19 total papers · 1.1k total citations
10 papers, 741 citations indexed

About

Patricia Farmer is a scholar working on Pathology and Forensic Medicine, Epidemiology and Dermatology. According to data from OpenAlex, Patricia Farmer has authored 10 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Epidemiology and 3 papers in Dermatology. Recurrent topics in Patricia Farmer's work include Lymphoma Diagnosis and Treatment (5 papers), Cutaneous lymphoproliferative disorders research (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). Patricia Farmer is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Cutaneous lymphoproliferative disorders research (3 papers) and Ovarian cancer diagnosis and treatment (2 papers). Patricia Farmer collaborates with scholars based in Canada, United States and India. Patricia Farmer's co-authors include Dongsheng Tu, Eric Winquist, Elizabeth Maunsell, Judy E. Garber, José E. Alés‐Martínez, James N. Ingle, Jean Wactawski‐Wende, Carol J. Fabian, Gloria E. Sarto and Karen Johnson and has published in prestigious journals such as New England Journal of Medicine, Blood and Clinical Cancer Research.

In The Last Decade

Patricia Farmer

10 papers receiving 720 citations

Hit Papers

Exemestane for Breast-Can... 2011 2026 2016 2021 2011 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Patricia Farmer 398 381 270 148 130 10 741
Mary Daly 280 0.7× 203 0.5× 229 0.8× 205 1.4× 205 1.6× 14 643
J.P. Lobelle 295 0.7× 522 1.4× 343 1.3× 134 0.9× 72 0.6× 25 795
E Gregory 353 0.9× 398 1.0× 386 1.4× 179 1.2× 109 0.8× 6 839
A McKinna 210 0.5× 407 1.1× 232 0.9× 255 1.7× 125 1.0× 14 757
AS Coates 479 1.2× 493 1.3× 356 1.3× 88 0.6× 86 0.7× 20 896
J. Carpenter 230 0.6× 389 1.0× 295 1.1× 143 1.0× 93 0.7× 24 720
D F Hayes 234 0.6× 465 1.2× 329 1.2× 92 0.6× 100 0.8× 12 764
APM Forrest 213 0.5× 615 1.6× 352 1.3× 99 0.7× 145 1.1× 11 799
R.K. Gregory 213 0.5× 563 1.5× 409 1.5× 207 1.4× 132 1.0× 19 873
T Palva 277 0.7× 424 1.1× 179 0.7× 61 0.4× 120 0.9× 13 661

Countries citing papers authored by Patricia Farmer

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Farmer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Farmer

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