G Cooke

838 total citations
12 papers, 648 citations indexed

About

G Cooke is a scholar working on Artificial Intelligence, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, G Cooke has authored 12 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Oncology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in G Cooke's work include AI in cancer detection (8 papers), Global Cancer Incidence and Screening (5 papers) and Digital Radiography and Breast Imaging (4 papers). G Cooke is often cited by papers focused on AI in cancer detection (8 papers), Global Cancer Incidence and Screening (5 papers) and Digital Radiography and Breast Imaging (4 papers). G Cooke collaborates with scholars based in Canada, United States and India. G Cooke's co-authors include Hanne M. Jensen, Norman F. Boyd, Curtis B. Caldwell, Roberta A. Jong, William Weiser, David W. Holdsworth, I S Simor, N F Boyd, E Fishell and T Germanson and has published in prestigious journals such as New England Journal of Medicine, JNCI Journal of the National Cancer Institute and Radiology.

In The Last Decade

G Cooke

12 papers receiving 608 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G Cooke Canada 9 354 312 216 170 139 12 648
Linda J. Warren Burhenne Canada 11 217 0.6× 489 1.6× 484 2.2× 133 0.8× 269 1.9× 15 853
Judy Dean United States 4 253 0.7× 371 1.2× 168 0.8× 77 0.5× 226 1.6× 8 561
Wolfe Jn United States 3 498 1.4× 370 1.2× 334 1.5× 154 0.9× 208 1.5× 10 710
Todd E. Wilson United States 15 158 0.4× 203 0.7× 205 0.9× 146 0.9× 180 1.3× 20 651
Dag Pavić United States 15 170 0.5× 151 0.5× 175 0.8× 129 0.8× 164 1.2× 31 575
David Beijerinck Netherlands 15 325 0.9× 240 0.8× 246 1.1× 68 0.4× 351 2.5× 20 757
Mary Rickard Australia 17 350 1.0× 359 1.2× 378 1.8× 196 1.2× 253 1.8× 60 882
Elodia B. Cole United States 18 491 1.4× 489 1.6× 314 1.5× 128 0.8× 361 2.6× 45 957
M Wallis United Kingdom 13 139 0.4× 193 0.6× 249 1.2× 137 0.8× 117 0.8× 31 505
Ellen Shaw de Paredes United States 15 130 0.4× 202 0.6× 218 1.0× 232 1.4× 189 1.4× 30 719

Countries citing papers authored by G Cooke

Since Specialization
Citations

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

Fields of papers citing papers by G Cooke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Cooke

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

All Works

12 of 12 papers shown
1.
Boyd, Norman F., et al.. (2000). Mammographic densities and the prevalence and incidence of histological types of benign breast disease. European Journal of Cancer Prevention. 9(1). 15–24. 72 indexed citations
2.
Boyd, Norman F., et al.. (1992). Relationship Between Mammographic and Histological Risk Factors for Breast Cancer. JNCI Journal of the National Cancer Institute. 84(15). 1170–1179. 143 indexed citations
3.
Caldwell, Curtis B., et al.. (1990). Characterisation of mammographic parenchymal pattern by fractal dimension. Physics in Medicine and Biology. 35(2). 235–247. 179 indexed citations
4.
Caldwell, Curtis B., David W. Holdsworth, Roberta A. Jong, et al.. (1989). Characterization Of Mammographic Parenchymal Pattern By Fractal Dimension. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1092. 10–10. 5 indexed citations
5.
Urbanski, Stefan J., et al.. (1988). The association of histological and radiological indicators of breast cancer risk. British Journal of Cancer. 58(4). 474–479. 40 indexed citations
6.
Boyd, N F, Brian O’Sullivan, E Fishell, et al.. (1982). Bias and the association of mammographic parenchymal patterns with breast cancer. British Journal of Cancer. 45(2). 179–184. 23 indexed citations
7.
Boyd, N F, Brian O’Sullivan, E Fishell, et al.. (1982). Mammographic signs as risk factors for breast cancer. British Journal of Cancer. 45(2). 185–193. 114 indexed citations
8.
Boyd, N F, Brian O’Sullivan, E Fishell, et al.. (1982). Mammographic patterns and bias in breast cancer detection.. Radiology. 143(3). 671–674. 12 indexed citations
9.
Mahoney, Leo J., Bruce Bird, & G Cooke. (1980). The Best Available Screening Test for Breast Cancer. Obstetrical & Gynecological Survey. 35(1). 56–57. 3 indexed citations
10.
Mahoney, Leo J., Bruce Bird, & G Cooke. (1979). Annual Clinical Examination. New England Journal of Medicine. 301(6). 315–316. 25 indexed citations
11.
Mahoney, Leo J., et al.. (1977). Early diagnosis of breast cancer: experience in a consultant breast clinic.. PubMed. 116(10). 1129–31. 2 indexed citations
12.
Cooke, G, et al.. (1974). Spontaneous extravasation of contrast medium during intravenous urography. Clinical Radiology. 25(1). 87–93. 30 indexed citations

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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