Linda Schieb

2.3k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Linda Schieb is a scholar working on Epidemiology, Health and Economics and Econometrics. According to data from OpenAlex, Linda Schieb has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 12 papers in Health and 11 papers in Economics and Econometrics. Recurrent topics in Linda Schieb's work include Health disparities and outcomes (12 papers), Acute Ischemic Stroke Management (12 papers) and Stroke Rehabilitation and Recovery (9 papers). Linda Schieb is often cited by papers focused on Health disparities and outcomes (12 papers), Acute Ischemic Stroke Management (12 papers) and Stroke Rehabilitation and Recovery (9 papers). Linda Schieb collaborates with scholars based in United States, Uganda and Kenya. Linda Schieb's co-authors include Michele Casper, Adam S. Vaughan, Mary G. George, Sophia Greer, Carma Ayala, Yuling Hong, Michael R. Kramer, Erika Odom, Matthew D. Ritchey and Sandra L. Jackson and has published in prestigious journals such as Circulation, PLoS ONE and Stroke.

In The Last Decade

Linda Schieb

36 papers receiving 1.5k citations

Hit Papers

Tracking Cardiac Rehabilitation Participation and Complet... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Linda Schieb
Hilary K. Wall United States
Janet S. Wright United States
Julia S. Holmes United States
Carma Ayala United States
Sung Sug Yoon United States
Zhe Tang China
Jorma Torppa Finland
Heval Mohamed Kelli United States
Christine T. Cigolle United States
Linda Schieb
Citations per year, relative to Linda Schieb Linda Schieb (= 1×) peers Pirjo Immonen‐Räihä

Countries citing papers authored by Linda Schieb

Since Specialization
Citations

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

Fields of papers citing papers by Linda Schieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Schieb

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

All Works

20 of 20 papers shown
2.
García, Macarena C., Lauren M. Rossen, Karen A. Matthews, et al.. (2024). Preventable Premature Deaths from the Five Leading Causes of Death in Nonmetropolitan and Metropolitan Counties, United States, 2010–2022. PubMed. 73(2). 1–11. 15 indexed citations
4.
Yang, Quanhe, Xin Tong, Linda Schieb, Fátima Coronado, & Robert Merritt. (2023). Stroke Mortality Among Black and White Adults Aged ≥35 Years Before and During the COVID-19 Pandemic — United States, 2015–2021. MMWR Morbidity and Mortality Weekly Report. 72(16). 431–436. 16 indexed citations
5.
Jackson, Sandra L., Anping Chang, Linda Schieb, et al.. (2022). Antihypertensive and Statin Medication Adherence Among Medicare Beneficiaries. American Journal of Preventive Medicine. 63(3). 313–323. 10 indexed citations
6.
Vaughan, Adam S., Mary G. George, Sandra L. Jackson, Linda Schieb, & Michele Casper. (2021). Changing Spatiotemporal Trends in County‐Level Heart Failure Death Rates in the United States, 1999 to 2018. Journal of the American Heart Association. 10(4). 8 indexed citations
7.
Vaughan, Adam S., Linda Schieb, & Michele Casper. (2020). Historic and recent trends in county-level coronary heart disease death rates by race, gender, and age group, United States, 1979-2017. PLoS ONE. 15(7). e0235839–e0235839. 24 indexed citations
8.
Ritchey, Matthew D., Sha Maresh, Jessica McNeely, et al.. (2020). Tracking Cardiac Rehabilitation Participation and Completion Among Medicare Beneficiaries to Inform the Efforts of a National Initiative. Circulation Cardiovascular Quality and Outcomes. 13(1). e005902–e005902. 246 indexed citations breakdown →
9.
Samanic, Claudine, Kamil E. Barbour, Yong Liu, et al.. (2020). Prevalence of Self-Reported Hypertension and Antihypertensive Medication Use by County and Rural-Urban Classification — United States, 2017. MMWR Morbidity and Mortality Weekly Report. 69(18). 533–539. 51 indexed citations
10.
Vaughan, Adam S., Linda Schieb, Harrison Quick, Michael R. Kramer, & Michele Casper. (2018). Before the here and now: What we can learn from variation in spatiotemporal patterns of changing heart disease mortality by age group, time period, and birth cohort. Social Science & Medicine. 217. 97–105. 12 indexed citations
11.
Vaughan, Adam S., Harrison Quick, Linda Schieb, et al.. (2018). Changing rate orders of race-gender heart disease death rates: An exploration of county-level race-gender disparities. SSM - Population Health. 7. 100334–100334. 11 indexed citations
12.
Greer, Sophia, Erika Odom, Linda Schieb, et al.. (2018). Heart Disease Death Rates Among Blacks and Whites Aged ≥35 Years — United States, 1968–2015. PubMed. 67(5). 1–11. 105 indexed citations
13.
Chang, Anping, Christopher A. Powers, Fleetwood Loustalot, et al.. (2016). Vital Signs: Disparities in Antihypertensive Medication Nonadherence Among Medicare Part D Beneficiaries — United States, 2014. MMWR Morbidity and Mortality Weekly Report. 65(36). 967–976. 57 indexed citations
14.
Vaughan, Adam S., Michael R. Kramer, Lance A. Waller, et al.. (2015). Comparing methods of measuring geographic patterns in temporal trends: an application to county-level heart disease mortality in the United States, 1973 to 2010. Annals of Epidemiology. 25(5). 329–335.e3. 25 indexed citations
15.
Lee, Alexandra K., Linda Schieb, Keming Yuan, et al.. (2015). Sodium Content in Packaged Foods by Census Division in the United States, 2009. Preventing Chronic Disease. 12. E43–E43. 3 indexed citations
16.
Greer, Sophia, Linda Schieb, Gregory W. Schwartz, Stephen Onufrak, & Sohyun Park. (2014). Association of the Neighborhood Retail Food Environment with Sodium and Potassium Intake Among US Adults. Preventing Chronic Disease. 11. E70–E70. 11 indexed citations
17.
George, Mary G., et al.. (2014). Pulmonary Hypertension Surveillance. CHEST Journal. 146(2). 476–495. 97 indexed citations
18.
Will, Julie C., Isaac Nwaise, Linda Schieb, & Yuna Zhong. (2014). Geographic and Racial Patterns of Preventable Hospitalizations for Hypertension: Medicare Beneficiaries, 2004–2009. Public Health Reports. 129(1). 8–18. 28 indexed citations
19.
Miranda, Marie Lynn, et al.. (2013). Putting Chronic Disease on the Map: Building GIS Capacity in State and Local Health Departments. Preventing Chronic Disease. 10. E100–E100. 17 indexed citations
20.
Culler, Steven D., Linda Schieb, Michele Casper, Isaac Nwaise, & Paula W. Yoon. (2010). Is There an Association Between Quality of In-Hospital Cardiac Care and Proportion of Low-Income Patients?. Medical Care. 48(3). 273–278. 10 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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