Cody Horst

3.0k total citations · 1 hit paper
9 papers, 507 citations indexed

About

Cody Horst is a scholar working on General Health Professions, Economics and Econometrics and Epidemiology. According to data from OpenAlex, Cody Horst has authored 9 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 5 papers in Economics and Econometrics and 3 papers in Epidemiology. Recurrent topics in Cody Horst's work include Healthcare Policy and Management (4 papers), Primary Care and Health Outcomes (2 papers) and Healthcare cost, quality, practices (2 papers). Cody Horst is often cited by papers focused on Healthcare Policy and Management (4 papers), Primary Care and Health Outcomes (2 papers) and Healthcare cost, quality, practices (2 papers). Cody Horst collaborates with scholars based in United States and New Zealand. Cody Horst's co-authors include Joseph L. Dieleman, Ellen Squires, Abigail Chapin, Anthony L. Bui, Hannah Hamavid, Alex Reynolds, Christopher J L Murray, Madeline Campbell, Zhiyin Li and Nafis Sadat and has published in prestigious journals such as JAMA, PLoS ONE and Diabetes Care.

In The Last Decade

Cody Horst

9 papers receiving 495 citations

Hit Papers

Factors Associated With Increases in US Health Care Spend... 2017 2026 2020 2023 2017 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cody Horst United States 9 172 155 78 75 48 9 507
Maria Kubin Germany 11 108 0.6× 137 0.9× 77 1.0× 127 1.7× 130 2.7× 28 867
J. Gourmelen France 16 114 0.7× 56 0.4× 42 0.5× 68 0.9× 76 1.6× 51 731
Yelena Gorina United States 11 148 0.9× 78 0.5× 22 0.3× 68 0.9× 101 2.1× 17 510
Jeromie Ballreich United States 14 141 0.8× 152 1.0× 24 0.3× 87 1.2× 112 2.3× 56 654
Lynelle Moon Australia 11 205 1.2× 104 0.7× 73 0.9× 19 0.3× 95 2.0× 24 656
Simon Neuwahl United States 12 119 0.7× 107 0.7× 42 0.5× 28 0.4× 62 1.3× 27 406
Oyere Onuma United States 11 105 0.6× 57 0.4× 22 0.3× 124 1.7× 62 1.3× 18 631
Mark G. Parker United States 14 163 0.9× 74 0.5× 67 0.9× 20 0.3× 32 0.7× 26 550
Carla Castillo-Laborde Chile 12 140 0.8× 78 0.5× 19 0.2× 49 0.7× 53 1.1× 28 478
D Cobden United States 16 74 0.4× 90 0.6× 23 0.3× 58 0.8× 103 2.1× 22 975

Countries citing papers authored by Cody Horst

Since Specialization
Citations

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

Fields of papers citing papers by Cody Horst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cody Horst

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

All Works

9 of 9 papers shown
2.
Ross, Jennifer M., Yaqi Wang, James K. Collins, et al.. (2021). Estimating the population at high risk for tuberculosis through household exposure in high-incidence countries: a model-based analysis. EClinicalMedicine. 42. 101206–101206. 10 indexed citations
3.
Squires, Ellen, Herbert C. Duber, Madeline Campbell, et al.. (2018). Health Care Spending on Diabetes in the U.S., 1996–2013. Diabetes Care. 41(7). 1423–1431. 28 indexed citations
4.
Dieleman, Joseph L., Ranju Baral, Elizabeth K. Johnson, et al.. (2017). Adjusting health spending for the presence of comorbidities: an application to United States national inpatient data. Health Economics Review. 7(1). 30–30. 13 indexed citations
5.
Dieleman, Joseph L., Ellen Squires, Anthony L. Bui, et al.. (2017). Factors Associated With Increases in US Health Care Spending, 1996-2013. JAMA. 318(17). 1668–1668. 238 indexed citations breakdown →
6.
Hamavid, Hannah, Maxwell Birger, Anne Bulchis, et al.. (2016). Assessing the Complex and Evolving Relationship between Charges and Payments in US Hospitals: 1996 – 2012. PLoS ONE. 11(7). e0157912–e0157912. 11 indexed citations
7.
Bui, Anthony L., Joseph L. Dieleman, Hannah Hamavid, et al.. (2016). Spending on Children’s Personal Health Care in the United States, 1996-2013. JAMA Pediatrics. 171(2). 181–181. 106 indexed citations
8.
Moyes, Kara White, Cody Horst, Robert E. Welikson, et al.. (2013). Human Embryonic Stem Cell-Derived Cardiomyocytes Migrate in Response to Gradients of Fibronectin and Wnt5a. Stem Cells and Development. 22(16). 2315–2325. 21 indexed citations
9.
Edwards, Lloyd J., Linda Sanders, Cody Horst, et al.. (2002). Protease inhibitors are associated with a slowed progression of HIV-related renal diseases. Clinical Nephrology. 57(5). 336–341. 72 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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