Emily M. Kraus

706 total citations · 1 hit paper
22 papers, 435 citations indexed

About

Emily M. Kraus is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Epidemiology. According to data from OpenAlex, Emily M. Kraus has authored 22 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 9 papers in General Health Professions and 9 papers in Epidemiology. Recurrent topics in Emily M. Kraus's work include Obesity, Physical Activity, Diet (8 papers), Chronic Disease Management Strategies (3 papers) and Food Security and Health in Diverse Populations (3 papers). Emily M. Kraus is often cited by papers focused on Obesity, Physical Activity, Diet (8 papers), Chronic Disease Management Strategies (3 papers) and Food Security and Health in Diverse Populations (3 papers). Emily M. Kraus collaborates with scholars based in United States and France. Emily M. Kraus's co-authors include Alyson B. Goodman, Lyudmyla Kompaniyets, David S. Freedman, Heidi M. Blanck, Renee M. Porter, Samantha J. Lange, Reinhold J. Hutz, Barry D. Bavister, Sandra L. Jackson and Patricia M. Morgan and has published in prestigious journals such as American Journal of Preventive Medicine, Biology of Reproduction and American Heart Journal.

In The Last Decade

Emily M. Kraus

20 papers receiving 425 citations

Hit Papers

align trajectories

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.

Longitudinal Trends in Body Mass Index Before and During the COVID-19 Pandemic Among Persons Aged 2–19 Years — United States, 2018–2020

2021 289 citations Samantha J. Lange, Lyudmyla Kompaniyets et al. MMWR Morbidity and Mortality Weekly Report profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily M. Kraus United States	8	194	117	77	62	56	22	435
Jasmine Dhaliwal Canada	4	252 1.3×	136 1.2×	65 0.8×	68 1.1×	96 1.7×	5	404
Elizabete de Jesus Pinto Brazil	14	213 1.1×	183 1.6×	66 0.9×	35 0.6×	55 1.0×	30	421
Doug Klein Canada	15	327 1.7×	170 1.5×	68 0.9×	74 1.2×	84 1.5×	42	553
Thao-Ly T. Phan United States	13	176 0.9×	80 0.7×	107 1.4×	104 1.7×	36 0.6×	42	426
Eliane Rodrigues de Faria Brazil	14	251 1.3×	100 0.9×	51 0.7×	48 0.8×	131 2.3×	47	408
Renee M. Porter United States	7	231 1.2×	122 1.0×	90 1.2×	84 1.4×	53 0.9×	16	434
Emilie Bruzelius United States	14	135 0.7×	88 0.8×	74 1.0×	115 1.9×	46 0.8×	36	503
Stephanie Cowan Australia	12	136 0.7×	57 0.5×	35 0.5×	56 0.9×	59 1.1×	51	477
Jemina Kivelä Finland	12	282 1.5×	126 1.1×	34 0.4×	45 0.7×	116 2.1×	34	591
Vilma Kriaučionienė Lithuania	12	221 1.1×	89 0.8×	144 1.9×	42 0.7×	94 1.7×	35	555

Countries citing papers authored by Emily M. Kraus

Since Specialization

Citations

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

Fields of papers citing papers by Emily M. Kraus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily M. Kraus

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

Kraus, Emily M., et al.. (2025). Assessment of Guideline‐Recommended Laboratory Screening for Obesity‐Related Chronic Conditions in US Youth 10–18 Years. Obesity. 33(10). 1921–1929.

Brooks, Ian M., et al.. (2024). MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance. JAMIA Open. 7(2). ooae045–ooae045. 5 indexed citations

Hohman, Katherine H., et al.. (2024). Validation of Multi-State EHR-Based Network for Disease Surveillance (MENDS) Data and Implications for Improving Data Quality and Representativeness. Preventing Chronic Disease. 21. E43–E43.

Thompson‐Paul, Angela M., Emily M. Kraus, Renee M. Porter, et al.. (2024). Pediatric Lipid Screening Prevalence Using Nationwide Electronic Medical Records. JAMA Network Open. 7(7). e2421724–e2421724. 8 indexed citations

He, Siran, et al.. (2023). State-Level Hypertension Prevalence and Control Among Adults in the U.S.. American Journal of Preventive Medicine. 66(1). 46–54. 7 indexed citations

Klompas, Michael, Emily M. Kraus, Wenjun Li, et al.. (2023). Leveraging Electronic Health Record Data for Timely Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance. Journal of Public Health Management and Practice. 29(2). 162–173. 23 indexed citations

Kraus, Emily M., Renee M. Porter, Lyudmyla Kompaniyets, et al.. (2023). Using Real-World Electronic Health Record Data to Assess Chronic Disease Screening in Children: A Case Study of Non-Alcoholic Fatty Liver Disease. Childhood Obesity. 20(1). 41–47. 2 indexed citations

Belay, Brook, Emily M. Kraus, Renee M. Porter, et al.. (2023). Examination of Prediabetes and Diabetes Testing Among US Pediatric Patients With Overweight or Obesity Using an Electronic Health Record. Childhood Obesity. 20(2). 96–106. 1 indexed citations

Kraus, Emily M., Elin Begley, Robert Merritt, et al.. (2023). Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance. Journal of Public Health Management and Practice. 30(2). 244–254. 4 indexed citations

10.

Hohman, Katherine H., Michael Klompas, Hilary K. Wall, et al.. (2023). Development of a Hypertension Electronic Phenotype for Chronic Disease Surveillance in Electronic Health Records: Key Analytic Decisions and Their Effects. Preventing Chronic Disease. 20. 8 indexed citations

11.

Kompaniyets, Lyudmyla, David S. Freedman, Brook Belay, et al.. (2023). Probability of 5% or Greater Weight Loss or BMI Reduction to Healthy Weight Among Adults With Overweight or Obesity. JAMA Network Open. 6(8). e2327358–e2327358. 27 indexed citations

12.

Arifkhanova, Aziza, José Tomás Prieto, Arthur J. Davidson, et al.. (2022). Defining Opioid-related Problems Using a Health Care Safety Net Institution’s Inpatient Electronic Health Records: Limitations of Diagnosis-based Definitions. Journal of Addiction Medicine. 17(1). 79–84. 5 indexed citations

13.

King, Raymond J., Dawn Heisey‐Grove, Kenneth A. Scott, et al.. (2021). The Childhood Obesity Data Initiative: A Case Study in Implementing Clinical-Community Infrastructure Enhancements to Support Health Services Research and Public Health. Journal of Public Health Management and Practice. 28(2). E430–E440. 6 indexed citations

14.

Kraus, Emily M., Kenneth A. Scott, Dawn Heisey‐Grove, et al.. (2021). A Governance Framework to Integrate Longitudinal Clinical and Community Data in a Distributed Data Network: The Childhood Obesity Data Initiative. Journal of Public Health Management and Practice. 28(2). E421–E429. 1 indexed citations

15.

Lange, Samantha J., Lyudmyla Kompaniyets, David S. Freedman, et al.. (2021). Longitudinal Trends in Body Mass Index Before and During the COVID-19 Pandemic Among Persons Aged 2–19 Years — United States, 2018–2020. MMWR Morbidity and Mortality Weekly Report. 70(37). 1278–1283. 289 indexed citations breakdown →

16.

Scott, Kenneth A., Toan C. Ong, Emily M. Kraus, et al.. (2021). A process to deduplicate individuals for regional chronic disease prevalence estimates using a distributed data network of electronic health records. Learning Health Systems. 6(3). e10297–e10297. 1 indexed citations

17.

Crume, Tessa, Lindsey M. Duca, Toan C. Ong, et al.. (2020). Population-level surveillance of congenital heart defects among adolescents and adults in Colorado: Implications of record linkage. American Heart Journal. 226. 75–84. 4 indexed citations

18.

Arifkhanova, Aziza, et al.. (2020). Estimating costs of hospitalizations associated with opioid use disorder or opioid misuse at a large, urban safety-net hospital—Denver, Colorado, 2017. Drug and Alcohol Dependence. 218. 108306–108306. 3 indexed citations

19.

Scott, Kenneth A., et al.. (2020). Evaluating Population Coverage in a Regional Distributed Data Network: Implications for Electronic Health Record–Based Public Health Surveillance. Public Health Reports. 135(5). 621–630. 4 indexed citations

20.

Daley, Matthew F., et al.. (2019). Estimating Childhood Obesity Prevalence in Communities Through Multi-institutional Data Sharing. Journal of Public Health Management and Practice. 26(4). E1–E10. 8 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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