Kate M. Shaw

2.0k total citations
36 papers, 1.5k citations indexed

About

Kate M. Shaw is a scholar working on Health, Epidemiology and General Health Professions. According to data from OpenAlex, Kate M. Shaw has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health, 14 papers in Epidemiology and 7 papers in General Health Professions. Recurrent topics in Kate M. Shaw's work include Vaccine Coverage and Hesitancy (13 papers), Influenza Virus Research Studies (7 papers) and Colorectal Cancer Screening and Detection (4 papers). Kate M. Shaw is often cited by papers focused on Vaccine Coverage and Hesitancy (13 papers), Influenza Virus Research Studies (7 papers) and Colorectal Cancer Screening and Detection (4 papers). Kate M. Shaw collaborates with scholars based in United States, United Kingdom and France. Kate M. Shaw's co-authors include Lawrence Barker, Elizabeth T. Luman, Mary M. McCauley, Larry K. Pickering, James W. Buehler, Susan A. Sabatino, Ralph J. Coates, Nora L. Keenan, Elena V. Kuklina and Florence K. L. Tangka and has published in prestigious journals such as JAMA, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Kate M. Shaw

36 papers receiving 1.5k citations

Peers

Kate M. Shaw

HEALT

EPIDE

ONCOL

GHP

PPCH

Cam Solomon United States

Katrina Brown United Kingdom

Linsay Gray United Kingdom

Rachael Wood United Kingdom

Katherine Mackey United States

Cynthia M. Rand United States

M. Felicitas Domínguez‐Berjón Spain

Ramón Martínez United States

Chloe Morozoff United States

Alberto Firenze Italy

Cam Solomon United States

Kate M. Shaw

357 ×0.6

HEALT

272 ×0.5

EPIDE

292 ×1.0

ONCOL

327 ×1.3

GHP

116 ×0.7

PPCH

Citations per year, relative to Kate M. Shaw Kate M. Shaw (= 1×) peers Cam Solomon

Countries citing papers authored by Kate M. Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Kate M. Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate M. Shaw. 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 Kate M. Shaw. The network helps show where Kate M. Shaw may publish in the future.

Co-authorship network of co-authors of Kate M. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Kate M. Shaw. A scholar is included among the top collaborators of Kate M. Shaw 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 Kate M. Shaw. Kate M. Shaw 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

Rubinstein, Rachel, et al.. (2024). Perceived controllability of group membership does not moderate individuating information effects in implicit person perception. Frontiers in Psychology. 15. 969382–969382. 1 indexed citations

Saelee, Ryan, Neil Murthy, Bhavini Patel Murthy, et al.. (2023). Minority Health Social Vulnerability Index and COVID-19 vaccination coverage — The United States, December 14, 2020–January 31, 2022. Vaccine. 41(12). 1943–1950. 12 indexed citations

Shults, Ruth A., et al.. (2021). Does geographic location matter for transportation risk behaviors among U.S. public high school students?. Journal of Transport & Health. 22. 101134–101134. 1 indexed citations

Shaw, Kate M., et al.. (2018). Diabetes is associated with increased prevalence of latent tuberculosis infection: Findings from the National Health and Nutrition Examination Survey, 2011–2012. Diabetes Research and Clinical Practice. 139. 366–379. 38 indexed citations

Kohl, Katrin, Rossanne M. Philen, Ray R. Arthur, et al.. (2017). United States Notifications of Travelers from Ebola-Affected Countries. Health Security. 15(3). 261–267. 1 indexed citations

Docherty, Mary, et al.. (2017). Evidence-based guideline implementation in low and middle income countries: lessons for mental health care. International Journal of Mental Health Systems. 11(1). 8–8. 26 indexed citations

Barker, Lawrence & Kate M. Shaw. (2015). Best (but oft-forgotten) practices: checking assumptions concerning regression residuals. American Journal of Clinical Nutrition. 102(3). 533–539. 47 indexed citations

Kuklina, Elena V., Margaret D. Carroll, Kate M. Shaw, & Rosemarie Hirsch. (2013). Trends in high LDL cholesterol, cholesterol-lowering medication use, and dietary saturated-fat intake: United States, 1976-2010.. PubMed. 1–8. 33 indexed citations

Bateman, Brian T., Kate M. Shaw, Elena V. Kuklina, et al.. (2012). Hypertension in Women of Reproductive Age in the United States: NHANES 1999-2008. PLoS ONE. 7(4). e36171–e36171. 100 indexed citations

10.

Trivers, Katrina F., Kate M. Shaw, Susan A. Sabatino, Jean A. Shapiro, & Ralph J. Coates. (2008). Trends in Colorectal Cancer Screening Disparities in People Aged 50–64 Years, 2000–2005. American Journal of Preventive Medicine. 35(3). 185–193. 51 indexed citations

11.

Luman, Elizabeth T., Kate M. Shaw, & Shannon Stokley. (2008). Compliance with Vaccination Recommendations for U.S. Children. American Journal of Preventive Medicine. 34(6). 463–470.e2. 33 indexed citations

12.

Coughlin, Steven S., Susan A. Sabatino, & Kate M. Shaw. (2008). What Factors are Associated with Where Women Undergo Clinical Breast Examination? Results from the 2005 National Health Interview Survey. PubMed. 2(1). 32–43. 4 indexed citations

13.

Luman, Elizabeth T., et al.. (2008). Impact of methodological "shortcuts" in conducting public health surveys: Results from a vaccination coverage survey. BMC Public Health. 8(1). 99–99. 5 indexed citations

14.

Sabatino, Susan A., Ralph J. Coates, Robert J. Uhler, et al.. (2008). Disparities in Mammography Use Among US Women Aged 40–64 Years, by Race, Ethnicity, Income, and Health Insurance Status, 1993 and 2005. Medical Care. 46(7). 692–700. 118 indexed citations

15.

Luman, Elizabeth T., et al.. (2007). Vaccination Coverage in the US Commonwealth of the Northern Mariana Islands, 2005. Journal of Public Health Management and Practice. 13(6). 595–604. 3 indexed citations

16.

Haber, Michael, Albert E. Barskey, Wendy Baughman, et al.. (2007). Herd immunity and pneumococcal conjugate vaccine: A quantitative model. Vaccine. 25(29). 5390–5398. 60 indexed citations

17.

Dayan, Gustavo H., Kate M. Shaw, Andrew L. Baughman, et al.. (2006). Assessment of Delay in Age-appropriate Vaccination Using Survival Analysis. American Journal of Epidemiology. 163(6). 561–570. 111 indexed citations

18.

Allred, Norma J., et al.. (2005). Parental vaccine safety concerns. American Journal of Preventive Medicine. 28(2). 221–224. 64 indexed citations

19.

Luman, Elizabeth T., Lawrence Barker, Kate M. Shaw, et al.. (2005). Timeliness of Childhood Vaccinations in the United States. JAMA. 293(10). 1204–1204. 264 indexed citations

20.

Shaw, Kate M. & Lawrence Barker. (2005). How do caregivers know when to take their child for immunizations?. BMC Pediatrics. 5(1). 44–44. 6 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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