T Carlile

400 total citations
10 papers, 311 citations indexed

About

T Carlile is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, T Carlile has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in T Carlile's work include Global Cancer Incidence and Screening (6 papers), Digital Radiography and Breast Imaging (6 papers) and AI in cancer detection (6 papers). T Carlile is often cited by papers focused on Global Cancer Incidence and Screening (6 papers), Digital Radiography and Breast Imaging (6 papers) and AI in cancer detection (6 papers). T Carlile collaborates with scholars based in United States, Japan and South Africa. T Carlile's co-authors include John Whitehead, Barbara Threatt, Donovan J. Thompson, Kenneth J. Kopecky, William H. Bush, Norman F. Boyd, Anthony B. Miller, Christina Wolfson, Myron Moskowitz and E Fishell and has published in prestigious journals such as JAMA, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

T Carlile

9 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T Carlile United States	8	191	172	149	72	69	10	311
I S Simor Canada	7	160 0.8×	140 0.8×	135 0.9×	58 0.8×	55 0.8×	8	316
A.E. Kirkpatrick United Kingdom	12	83 0.4×	389 2.3×	112 0.8×	152 2.1×	185 2.7×	25	554
E. Bassetti Italy	8	206 1.1×	153 0.9×	165 1.1×	46 0.6×	35 0.5×	16	321
K. C. Young Norway	8	333 1.7×	193 1.1×	234 1.6×	48 0.7×	48 0.7×	17	431
B. Séradour France	11	109 0.6×	357 2.1×	122 0.8×	77 1.1×	134 1.9×	36	496
Renee W. Pinsky United States	10	187 1.0×	119 0.7×	159 1.1×	91 1.3×	75 1.1×	20	388
Robert A Smith United States	3	94 0.5×	270 1.6×	120 0.8×	67 0.9×	75 1.1×	4	410
Irma Saarenmaa Finland	12	111 0.6×	260 1.5×	86 0.6×	83 1.2×	98 1.4×	15	385
Jeroen J. van den Broek Netherlands	10	162 0.8×	330 1.9×	130 0.9×	56 0.8×	136 2.0×	12	504
Mária Gere Sweden	9	106 0.6×	116 0.7×	39 0.3×	148 2.1×	194 2.8×	13	336

Countries citing papers authored by T Carlile

Since Specialization

Citations

This map shows the geographic impact of T Carlile'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 T Carlile with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Carlile more than expected).

Fields of papers citing papers by T Carlile

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Carlile

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Thomas, D B, et al.. (1993). Mammographic Calcifications and Risk of Subsequent Breast Cancer. JNCI Journal of the National Cancer Institute. 85(3). 230–235. 17 indexed citations

2.

Boyd, Norman F., Christina Wolfson, Myron Moskowitz, et al.. (1986). Observer variation in the classification of mammographic parenchymal patterns. Journal of Chronic Diseases. 39(6). 465–472. 31 indexed citations

3.

Whitehead, John, et al.. (1985). THE RELATIONSHIP BETWEEN WOLFE'S CLASSIFICATION MAMMOGRAMS, ACCEPTED BREAST CANCER RISK FACTORS, THE INCIDENCE OF BREAST CANCER. American Journal of Epidemiology. 122(6). 994–1006. 51 indexed citations

4.

Carlile, T. (1985). Breast Cancer Prediction and the Wolfe Classification of Mammograms. JAMA. 254(8). 1050–1050. 44 indexed citations

5.

Whitehead, John, et al.. (1985). Wolfe mammographic parenchymal patterns. A study of the masking hypothesis of Egan and Mosteller. Cancer. 56(6). 1280–1286. 56 indexed citations

6.

Carlile, T, et al.. (1983). Reproducibility and consistency in classification of breast parenchymal patterns. American Journal of Roentgenology. 140(1). 1–7. 24 indexed citations

7.

Boyd, Norman F., Christina Wolfson, Myron Moskowitz, et al.. (1982). Observer Variation in the Interpretation of Xeromammograms<xref ref-type="fn" rid="fn2">2</xref>. JNCI Journal of the National Cancer Institute. 68(3). 357–63. 41 indexed citations

8.

Carlile, T. (1981). Breast cancer detection. Cancer. 47(S5). 1164–1169. 5 indexed citations

9.

Carlile, T, et al.. (1978). Mammographic parenchymal patterns as a risk indicator for prevalent and incident cancer. Cancer. 41(3). 1093–1097. 41 indexed citations

10.

Carlile, T. (1964). Recent advances in the x-ray diagnosis of neoplastic diseases of the colon and the rectum.. PubMed. 5. 579–85. 1 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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