Natasha K. Stout

6.9k total citations · 2 hit papers
106 papers, 4.1k citations indexed

About

Natasha K. Stout is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Natasha K. Stout has authored 106 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Oncology, 33 papers in Cancer Research and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Natasha K. Stout's work include Global Cancer Incidence and Screening (65 papers), Breast Cancer Treatment Studies (27 papers) and Colorectal Cancer Screening and Detection (26 papers). Natasha K. Stout is often cited by papers focused on Global Cancer Incidence and Screening (65 papers), Breast Cancer Treatment Studies (27 papers) and Colorectal Cancer Screening and Detection (26 papers). Natasha K. Stout collaborates with scholars based in United States, Canada and Netherlands. Natasha K. Stout's co-authors include Oğuzhan Alagöz, Amy Trentham‐Dietz, Jeanne S. Mandelblatt, Anna N.A. Tosteson, Diana L. Miglioretti, Brian L. Sprague, Karla Kerlikowske, Dennis G. Fryback, Harry J. de Koning and Sylvia K. Plevritis and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

In The Last Decade

Natasha K. Stout

103 papers receiving 4.0k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Trends in Use of Medical Imaging in US Health Care Systems and in Ontario, Canada, 2000-2016

2019 424 citations Erin J. Aiello Bowles, Natasha K. Stout et al. profile →
Analysis of Breast Cancer Mortality in the US—1975 to 2019

2024 89 citations John M. Hampton, Jinani Jayasekera et al. profile →

Author Peers

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

Author						Papers	Cites
Natasha K. Stout	2.2k	788	774	706	586	106	4.1k
Michael J. Hassett	1.4k 0.6×	507 0.6×	854 1.1×	350 0.5×	491 0.8×	157	3.1k
Amy Ming‐Fang Yen	2.4k 1.1×	1.2k 1.6×	651 0.8×	481 0.7×	184 0.3×	194	4.9k
Euǵenio Paci	3.7k 1.7×	1.7k 2.1×	790 1.0×	870 1.2×	225 0.4×	209	6.8k
Frances C. Wright	2.1k 1.0×	506 0.6×	1.3k 1.7×	940 1.3×	343 0.6×	234	5.0k
Eveline A.M. Heijnsdijk	1.6k 0.7×	1.1k 1.5×	468 0.6×	293 0.4×	266 0.5×	110	3.1k
Andrew M. D. Wolf	2.9k 1.3×	1.4k 1.8×	447 0.6×	429 0.6×	188 0.3×	24	4.5k
Samuel J. LaMonte	3.4k 1.6×	1.7k 2.1×	613 0.8×	441 0.6×	163 0.3×	9	4.8k
Mireille J. M. Broeders	3.9k 1.8×	1.6k 2.0×	1.2k 1.5×	1.5k 2.1×	258 0.4×	192	6.0k
Claudia Schmoor	936 0.4×	1.3k 1.7×	657 0.8×	321 0.5×	259 0.4×	160	5.6k
Marieke W.J. Louwman	3.1k 1.4×	978 1.2×	1.2k 1.5×	413 0.6×	235 0.4×	145	5.5k

Countries citing papers authored by Natasha K. Stout

Since Specialization

Citations

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

Fields of papers citing papers by Natasha K. Stout

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natasha K. Stout. 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 Natasha K. Stout. The network helps show where Natasha K. Stout may publish in the future.

Co-authorship network of co-authors of Natasha K. Stout

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

All Works

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20 of 20 papers shown

Schonberg, Mara A., Natasha K. Stout, Sarah Stein, et al.. (2025). Creating a Mammography Conversation Aid for Shared Decision‐Making Between Clinicians and Women Aged 75 and Older. Journal of the American Geriatrics Society. 73(7). 2188–2195.

Wright, Jason D., Ling Chen, Xiao Xu, et al.. (2025). Projected Trends in the Incidence and Mortality of Uterine Cancer in the United States. Cancer Epidemiology Biomarkers & Prevention. 34(7). 1156–1166. 1 indexed citations

Trentham‐Dietz, Amy, Natasha K. Stout, Christoph I. Lee, et al.. (2024). Supplemental breast cancer screening after negative mammography in US women with dense breasts. JNCI Journal of the National Cancer Institute. 117(6). 1271–1275. 1 indexed citations

Sprague, Brian L., Laura Ichikawa, Kathryn P. Lowry, et al.. (2024). Performance of Supplemental US Screening in Women with Dense Breasts and Varying Breast Cancer Risk: Results from the Breast Cancer Surveillance Consortium. Radiology. 312(2). e232380–e232380. 3 indexed citations

Christensen, Kurt D., Pamela M. McMahon, Jennifer M. Yeh, et al.. (2023). Benefits, harms, and costs of newborn genetic screening for hypertrophic cardiomyopathy: Estimates from the PreEMPT model. Genetics in Medicine. 25(4). 100797–100797. 4 indexed citations

Sprague, Brian L., Laura Ichikawa, Kathryn P. Lowry, et al.. (2023). Breast cancer risk characteristics of women undergoing whole‐breast ultrasound screening versus mammography alone. Cancer. 129(16). 2456–2468. 6 indexed citations

Lee, Janie M., Laura Ichikawa, Karen J. Wernli, et al.. (2023). Impact of Surveillance Mammography Intervals Less Than One Year on Performance Measures in Women With a Personal History of Breast Cancer. Korean Journal of Radiology. 24(8). 729–729.

Mandelblatt, Jeanne S., Clyde B. Schechter, Natasha K. Stout, et al.. (2023). Population simulation modeling of disparities in US breast cancer mortality. JNCI Monographs. 2023(62). 178–187. 4 indexed citations

Jayasekera, Jinani, Amy Zhao, Clyde B. Schechter, et al.. (2022). Reassessing the Benefits and Harms of Risk-Reducing Medication Considering the Persistent Risk of Breast Cancer Mortality in Estrogen Receptor–Positive Breast Cancer. Journal of Clinical Oncology. 41(4). 859–870. 11 indexed citations

10.

Kunst, Natalia, Natasha K. Stout, Kurt D. Christensen, et al.. (2022). Population-Based Newborn Screening for Germline TP53 Variants: Clinical Benefits, Cost-Effectiveness, and Value of Further Research. JNCI Journal of the National Cancer Institute. 114(5). 722–731. 4 indexed citations

11.

Lee, Janie M., Laura Ichikawa, Karen J. Wernli, et al.. (2021). Digital Mammography and Breast Tomosynthesis Performance in Women with a Personal History of Breast Cancer, 2007–2016. Radiology. 300(2). 290–300. 20 indexed citations

12.

Yeh, Jennifer M., Kathryn P. Lowry, Clyde B. Schechter, et al.. (2021). Breast Cancer Screening Among Childhood Cancer Survivors Treated Without Chest Radiation: Clinical Benefits and Cost-Effectiveness. JNCI Journal of the National Cancer Institute. 114(2). 235–244. 7 indexed citations

13.

Sprague, Brian L., Kathryn P. Lowry, Diana L. Miglioretti, et al.. (2021). Changes in Mammography Use by Women’s Characteristics During the First 5 Months of the COVID-19 Pandemic. JNCI Journal of the National Cancer Institute. 113(9). 1161–1167. 62 indexed citations

14.

Ravesteyn, Nicolien T. van, Clyde B. Schechter, John M. Hampton, et al.. (2021). Trade-Offs Between Harms and Benefits of Different Breast Cancer Screening Intervals Among Low-Risk Women. JNCI Journal of the National Cancer Institute. 113(8). 1017–1026. 10 indexed citations

15.

Alagöz, Oğuzhan, Kathryn P. Lowry, Allison W. Kurian, et al.. (2021). Impact of the COVID-19 Pandemic on Breast Cancer Mortality in the US: Estimates From Collaborative Simulation Modeling. JNCI Journal of the National Cancer Institute. 113(11). 1484–1494. 100 indexed citations

16.

Gangnon, Ronald E., Brian L. Sprague, Natasha K. Stout, et al.. (2015). The Contribution of Mammography Screening to Breast Cancer Incidence Trends in the United States: An Updated Age–Period–Cohort Model. Cancer Epidemiology Biomarkers & Prevention. 24(6). 905–912. 57 indexed citations

17.

Mittmann, Nicole, Natasha K. Stout, Pablo Lee, et al.. (2015). Total cost-effectiveness of mammography screening strategies.. PubMed. 26(12). 16–25. 29 indexed citations

18.

Yaffe, Martin J., Nicole Mittmann, Pablo Lee, et al.. (2015). Modelling mammography screening for breast cancer in the Canadian context: Modification and testing of a microsimulation model.. PubMed. 26(12). 3–8. 10 indexed citations

19.

Yaffe, Martin J., Nicole Mittmann, Pablo Lee, et al.. (2015). Clinical outcomes of modelling mammography screening strategies.. PubMed. 26(12). 9–15. 17 indexed citations

20.

Ravesteyn, Nicolien T. van, Diana L. Miglioretti, Natasha K. Stout, et al.. (2012). Tipping the Balance of Benefits and Harms to Favor Screening Mammography Starting at Age 40 Years. Obstetrical & Gynecological Survey. 67(8). 481–482. 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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