CM Vachon

695 total citations
9 papers, 503 citations indexed

About

CM Vachon is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, CM Vachon has authored 9 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in CM Vachon's work include Breast Cancer Treatment Studies (4 papers), Cancer Risks and Factors (3 papers) and Digital Radiography and Breast Imaging (3 papers). CM Vachon is often cited by papers focused on Breast Cancer Treatment Studies (4 papers), Cancer Risks and Factors (3 papers) and Digital Radiography and Breast Imaging (3 papers). CM Vachon collaborates with scholars based in United States, United Kingdom and South Korea. CM Vachon's co-authors include Graham A. Colditz, B. Rosner, Lusine Yaghjyan, Stuart J. Schnitt, LC Collins, Rulla M. Tamimi, Jack Cuzick, John Shepherd, Karla Kerlikowske and Scott R. Bauer and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and American Journal of Epidemiology.

In The Last Decade

CM Vachon

7 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
CM Vachon United States	5	299	208	160	123	94	9	503
Yngve Bremnes Norway	13	416 1.4×	200 1.0×	164 1.0×	83 0.7×	235 2.5×	16	685
Galina Lurie United States	18	341 1.1×	259 1.2×	122 0.8×	144 1.2×	195 2.1×	23	827
Marike Gabrielson Sweden	14	251 0.8×	169 0.8×	195 1.2×	111 0.9×	123 1.3×	32	573
Louise Eriksson Sweden	12	322 1.1×	290 1.4×	264 1.6×	198 1.6×	65 0.7×	18	590
Jennifer D. Peck United States	5	276 0.9×	164 0.8×	138 0.9×	63 0.5×	105 1.1×	5	411
Carol H. Wasilauskas United States	5	288 1.0×	138 0.7×	134 0.8×	48 0.4×	267 2.8×	7	601
J. L. Hayward United Kingdom	16	228 0.8×	114 0.5×	138 0.9×	56 0.5×	151 1.6×	21	473
Sara Margolin Sweden	15	316 1.1×	130 0.6×	172 1.1×	14 0.1×	279 3.0×	39	733
Min Kyoon Kim South Korea	13	218 0.7×	59 0.3×	194 1.2×	22 0.2×	44 0.5×	36	485
Valerie McGuire United States	10	105 0.4×	93 0.4×	65 0.4×	70 0.6×	59 0.6×	13	311

Countries citing papers authored by CM Vachon

Since Specialization

Citations

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

Fields of papers citing papers by CM Vachon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of CM Vachon

This figure shows the co-authorship network connecting the top 25 collaborators of CM Vachon. A scholar is included among the top collaborators of CM Vachon 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 CM Vachon. CM Vachon 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:

9 of 9 papers shown

Kim, Ki Hwan, et al.. (2026). Current state of mammography-based artificial intelligence for future breast cancer risk prediction: a systematic review. JNCI Journal of the National Cancer Institute. 118(3). 392–403.

Liu, MC, Steven R. Cummings, CM Vachon, et al.. (2018). Abstract OT3-02-01: Development of cell-free nucleic acid-based tests for early detection of breast cancer: The STRIVE study. Cancer Research. 78(4_Supplement). OT3–2. 3 indexed citations

Yaghjyan, Lusine, Graham A. Colditz, LC Collins, et al.. (2011). Mammographic Breast Density and Subsequent Risk of Breast Cancer in Postmenopausal Women According to Tumor Characteristics. JNCI Journal of the National Cancer Institute. 103(15). 1179–1189. 174 indexed citations

Cummings, Steven R., Jeffrey A. Tice, Scott R. Bauer, et al.. (2009). Prevention of Breast Cancer in Postmenopausal Women: Approaches to Estimating and Reducing Risk. JNCI Journal of the National Cancer Institute. 101(6). 384–398. 183 indexed citations

Pankratz, V. Shane, et al.. (2009). Histologic markers of mammographic breast density: core-needle biopsy tissue from healthy volunteers.. Cancer Research. 69(2_Supplement). 4037–4037. 2 indexed citations

Pankratz, V. Shane, et al.. (2009). Benign breast disease and breast cancer risk in young women.. Cancer Research. 69(2_Supplement). 62–62.

Bardia, Aditya, Jon O. Ebbert, Robert A. Vierkant, et al.. (2007). Association of Aspirin and Nonaspirin Nonsteroidal Anti-inflammatory Drugs With Cancer Incidence and Mortality. JNCI Journal of the National Cancer Institute. 99(11). 881–889. 72 indexed citations

Sellers, Thomas A., CM Vachon, V. Shane Pankratz, et al.. (2007). Association of Childhood and Adolescent Anthropometric Factors, Physical Activity, and Diet with Adult Mammographic Breast Density. American Journal of Epidemiology. 166(4). 456–464. 65 indexed citations

Vachon, CM, et al.. (2002). #17 Pre-pregnancy exposure to cigarette smoking and subsequent risk of postmenopausal breast cancer. Annals of Epidemiology. 12(7). 496–496. 4 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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