Natalie J. Engmann

544 total citations
20 papers, 385 citations indexed

About

Natalie J. Engmann is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Natalie J. Engmann has authored 20 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Natalie J. Engmann's work include Digital Radiography and Breast Imaging (10 papers), Cancer Risks and Factors (9 papers) and Breast Cancer Treatment Studies (7 papers). Natalie J. Engmann is often cited by papers focused on Digital Radiography and Breast Imaging (10 papers), Cancer Risks and Factors (9 papers) and Breast Cancer Treatment Studies (7 papers). Natalie J. Engmann collaborates with scholars based in United States, Tanzania and Kenya. Natalie J. Engmann's co-authors include Karla Kerlikowske, Diana L. Miglioretti, Brian L. Sprague, Parisa Tehranifar, John Shepherd, Matthew R. Jensen, James D. Chambers, Stacey J. Winham, Mary Beth Terry and Robert A. Hiatt and has published in prestigious journals such as Neurology, Cancer Research and Academic Medicine.

In The Last Decade

Natalie J. Engmann

20 papers receiving 376 citations

Peers

Natalie J. Engmann

ONCOL

PRM

PFM

Judith A. Wolfman United States

Gary Côté Canada

Dawn M. Grabrick United States

Marleen J. Emaus Netherlands

J. L. Hayward United Kingdom

Preeti Subhedar United States

Jian-Jun He China

Vidar G. Flote Norway

Robin Schaffar Switzerland

Jia-Yuan Li China

Judith A. Wolfman United States

Natalie J. Engmann

167 ×0.8

ONCOL

131 ×0.9

PRM

85 ×1.0

108 ×1.3

88 ×1.7

PFM

Citations per year, relative to Natalie J. Engmann Natalie J. Engmann (= 1×) peers Judith A. Wolfman

Countries citing papers authored by Natalie J. Engmann

Since Specialization

Citations

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

Fields of papers citing papers by Natalie J. Engmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie J. Engmann. 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 Natalie J. Engmann. The network helps show where Natalie J. Engmann may publish in the future.

Co-authorship network of co-authors of Natalie J. Engmann

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie J. Engmann. A scholar is included among the top collaborators of Natalie J. Engmann 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 Natalie J. Engmann. Natalie J. Engmann 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

Engmann, Natalie J., et al.. (2022). Patients’ access to rare neuromuscular disease therapies varies across US private insurers. Orphanet Journal of Rare Diseases. 17(1). 36–36. 18 indexed citations

Engmann, Natalie J., et al.. (2021). Persistence and adherence to ocrelizumab compared with other disease-modifying therapies for multiple sclerosis in U.S. commercial claims data. Journal of Managed Care & Specialty Pharmacy. 27(5). 639–649. 23 indexed citations

Abbass, Ibrahim M., et al.. (2020). Work Productivity Outcomes Associated with Ocrelizumab Compared with Other Disease-Modifying Therapies for Multiple Sclerosis. Neurology and Therapy. 10(1). 183–196. 12 indexed citations

Hiatt, Robert A., et al.. (2020). A Complex Systems Model of Breast Cancer Etiology: The Paradigm II Conceptual Model. Cancer Epidemiology Biomarkers & Prevention. 29(9). 1720–1730. 10 indexed citations

Engmann, Natalie J., et al.. (2020). Real-world outcomes with ocrelizumab compared with other disease-modifying therapies in US commercial claims databases (2911). Neurology. 94(15_supplement). 1 indexed citations

Wolinsky, Jerry S., Natalie J. Engmann, Jinglan Pei, et al.. (2020). An exploratory analysis of the efficacy of ocrelizumab in patients with multiple sclerosis with increased disability. Multiple Sclerosis Journal - Experimental Translational and Clinical. 6(1). 2455331907–2455331907. 7 indexed citations

Engmann, Natalie J., Christopher G. Scott, Matthew R. Jensen, et al.. (2019). Longitudinal Changes in Volumetric Breast Density in Healthy Women across the Menopausal Transition. Cancer Epidemiology Biomarkers & Prevention. 28(8). 1324–1330. 16 indexed citations

Brandt, Kathleen R., Christopher G. Scott, Diana L. Miglioretti, et al.. (2019). Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer. Breast Cancer Research. 21(1). 118–118. 14 indexed citations

McDonald, Jasmine A., Piera M. Cirillo, Parisa Tehranifar, et al.. (2019). In utero DDT exposure and breast density in early menopause by maternal history of breast cancer. Reproductive Toxicology. 92. 78–84. 15 indexed citations

10.

Engmann, Natalie J., Christopher G. Scott, Matthew R. Jensen, et al.. (2019). Combined effect of volumetric breast density and body mass index on breast cancer risk. Breast Cancer Research and Treatment. 177(1). 165–173. 23 indexed citations

11.

Engmann, Natalie J.. (2019). Errors in Statistical Programming for Study About Population-Attributable Risk Proportion of Clinical Risk Factors for Breast Cancer. JAMA Oncology. 5(11). 1637–1637. 2 indexed citations

12.

Oskar, Sabine, et al.. (2018). Gestational diabetes, type II diabetes, and mammographic breast density in a U.S. racially diverse population screened for breast cancer. Cancer Causes & Control. 29(8). 731–736. 4 indexed citations

13.

Engmann, Natalie J., Christopher G. Scott, Matthew R. Jensen, et al.. (2018). Abstract 3226: Overweight and obese women with high volumetric breast density at high breast cancer risk. Cancer Research. 78(13_Supplement). 3226–3226. 1 indexed citations

14.

Engmann, Natalie J., Christopher G. Scott, Matthew R. Jensen, et al.. (2017). Longitudinal Changes in Volumetric Breast Density with Tamoxifen and Aromatase Inhibitors. Cancer Epidemiology Biomarkers & Prevention. 26(6). 930–937. 36 indexed citations

15.

Engmann, Natalie J., et al.. (2017). Population-Attributable Risk Proportion of Clinical Risk Factors for Breast Cancer. JAMA Oncology. 3(9). 1228–1228. 162 indexed citations

16.

Engmann, Natalie J., Isaac J. Ergas, Song Yao, et al.. (2017). Genetic Ancestry Is not Associated with Breast Cancer Recurrence or Survival in U.S. Latina Women Enrolled in the Kaiser Permanente Pathways Study. Cancer Epidemiology Biomarkers & Prevention. 26(9). 1466–1469. 8 indexed citations

17.

Engmann, Natalie J., Celine M. Vachon, Christopher G. Scott, et al.. (2016). Abstract 3424: Longitudinal changes in volumetric breast density with adjuvant endocrine therapy among women with breast cancer. Cancer Research. 76(14_Supplement). 3424–3424. 2 indexed citations

18.

Hiatt, Robert A., Natalie J. Engmann, William Macharia, et al.. (2016). Population Health Science: A Core Element of Health Science Education in Sub-Saharan Africa. Academic Medicine. 92(4). 462–467. 6 indexed citations

19.

Tehranifar, Parisa, Karen M. Schmitt, Elise Desperito, et al.. (2015). The metabolic syndrome and mammographic breast density in a racially diverse and predominantly immigrant sample of women. Cancer Causes & Control. 26(10). 1393–1403. 14 indexed citations

20.

Tehranifar, Parisa, Diane Reynolds, Xiaozhou Fan, et al.. (2014). Multiple metabolic risk factors and mammographic breast density. Annals of Epidemiology. 24(6). 479–483. 11 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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