David H. Howard

7.6k total citations · 1 hit paper
195 papers, 5.3k citations indexed

About

David H. Howard is a scholar working on Economics and Econometrics, General Health Professions and Oncology. According to data from OpenAlex, David H. Howard has authored 195 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Economics and Econometrics, 44 papers in General Health Professions and 43 papers in Oncology. Recurrent topics in David H. Howard's work include Healthcare Policy and Management (37 papers), Health Systems, Economic Evaluations, Quality of Life (35 papers) and Economic and Financial Impacts of Cancer (30 papers). David H. Howard is often cited by papers focused on Healthcare Policy and Management (37 papers), Health Systems, Economic Evaluations, Quality of Life (35 papers) and Economic and Financial Impacts of Cancer (30 papers). David H. Howard collaborates with scholars based in United States, Greece and Kenya. David H. Howard's co-authors include Kenneth E. Thorpe, Julie A. Gazmararian, Ruth M. Parker, Peter B. Bach, Tetine Sentell, Rena M. Conti, Curtis Florence, Peter Joski, Ernst R. Berndt and Kakoli Roy and has published in prestigious journals such as New England Journal of Medicine, JAMA and Journal of Clinical Oncology.

In The Last Decade

David H. Howard

189 papers receiving 4.9k citations

Hit Papers

Pricing in the Market for Anticancer Drugs 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David H. Howard United States 38 1.7k 1.6k 885 828 589 195 5.3k
Thomas D. Sequist United States 41 2.6k 1.5× 1.4k 0.9× 604 0.7× 1.1k 1.3× 427 0.7× 134 5.5k
Louis P. Garrison United States 41 1.1k 0.6× 3.1k 2.0× 709 0.8× 924 1.1× 622 1.1× 226 6.7k
J. Sanford Schwartz United States 43 1.6k 1.0× 1.3k 0.8× 648 0.7× 852 1.0× 813 1.4× 138 6.4k
Brian Hutchison Canada 36 1.8k 1.1× 822 0.5× 338 0.4× 567 0.7× 418 0.7× 123 4.4k
L. Gary Hart United States 34 2.2k 1.3× 1.3k 0.8× 358 0.4× 1.5k 1.8× 407 0.7× 73 5.6k
Ivo Abraham United States 39 928 0.5× 616 0.4× 1.0k 1.1× 631 0.8× 456 0.8× 306 6.4k
Jay Bhattacharya United States 39 1.3k 0.8× 1.2k 0.7× 275 0.3× 862 1.0× 458 0.8× 169 5.5k
Dyfrig Hughes United Kingdom 47 1.2k 0.7× 2.4k 1.5× 496 0.6× 873 1.1× 580 1.0× 260 9.0k
Louise B. Russell United States 35 2.1k 1.2× 3.0k 1.9× 717 0.8× 820 1.0× 1.1k 1.8× 120 7.3k
Mark McClellan United States 40 3.1k 1.8× 3.6k 2.2× 309 0.3× 838 1.0× 547 0.9× 202 7.8k

Countries citing papers authored by David H. Howard

Since Specialization
Citations

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

Fields of papers citing papers by David H. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Howard. 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 David H. Howard. The network helps show where David H. Howard may publish in the future.

Co-authorship network of co-authors of David H. Howard

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Howard. A scholar is included among the top collaborators of David H. Howard 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 David H. Howard. David H. Howard 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
1.
Kalmus, Gerhard W., Joseph Lipscomb, David H. Howard, et al.. (2025). Annual PM2.5 exposure and clinical, laboratory, and stroke-risk outcomes in pediatric sickle cell disease. JCI Insight. 10(11).
2.
Howard, David H.. (2025). New Challenges to Combating Fraud and Abuse in Health Care. JAMA. 334(14). 1227–1227.
3.
Horný, Michal, K. Robin Yabroff, Christopher P. Filson, et al.. (2023). The cost burden of metastatic prostate cancer in the US populations covered by employer‐sponsored health insurance. Cancer. 129(20). 3252–3262. 3 indexed citations
4.
Howard, David H. & Guy David. (2023). Hospital ownership and admission rates from the emergency department, evidence from Florida. Health Services Research. 59(2). e14254–e14254. 3 indexed citations
5.
Peters, Mary Linton B., et al.. (2023). Cost-Effectiveness Analysis of Screening for Pancreatic Cancer Among High-Risk Populations. JCO Oncology Practice. 20(2). 278–290. 9 indexed citations
6.
Howard, David H., et al.. (2019). The Impact of Accountable Care Units on Patient Outcomes. 4(1). 1 indexed citations
8.
Gordon, Alan N., et al.. (2017). Outcomes and Cost Analysis of Surveillance Strategies After Initial Treatment for Women With Recurrent Ovarian Cancer. International Journal of Gynecological Cancer. 27(7). 1333–1342. 2 indexed citations
9.
Tangka, Florence K. L., et al.. (2016). Mammography rates after the 2009 revision to the United States Preventive Services Task Force breast cancer screening recommendation. Cancer Causes & Control. 28(1). 41–48. 16 indexed citations
10.
Howard, David H.. (2016). The Disequilibrium Model in a Controlled Economy: Reply and Further Results. American Economic Review. 69(4). 733–738.
11.
Halpern, Michael T., Susan G. Haber, Florence K. L. Tangka, et al.. (2013). Cancer Screening Among U.S. Medicaid Enrollees with Chronic Comorbidities or Residing in Long-Term Care Facilities. PubMed. 2(2). 98–106. 2 indexed citations
12.
Howard, David H. & Yu‐Chu Shen. (2012). Comparative Effectiveness Research, Technological Abandonment, and Health Care Spending. PubMed. 23. 103–121. 10 indexed citations
13.
Howard, David H., Rebecca Zhang, Yijian Huang, & Nancy G. Kutner. (2012). Hospitalization Rates Among Dialysis Patients During Hurricane Katrina. Prehospital and Disaster Medicine. 27(4). 325–329. 24 indexed citations
14.
Tangka, Florence K. L., Justin G. Trogdon, Lisa C. Richardson, et al.. (2010). Cancer treatment cost in the United States. Cancer. 116(14). 3477–3484. 131 indexed citations
15.
Howard, David H., David O. Meltzer, Craig Kollman, et al.. (2008). Use of Cost-Effectiveness Analysis to Determine Inventory Size for a National Cord Blood Bank. Medical Decision Making. 28(2). 243–253. 26 indexed citations
16.
Howard, David H.. (2006). Quality and Consumer Choice in Healthcare: Evidence from Kidney Transplantation. The B E Journal of Economic Analysis & Policy. 5(1). 13 indexed citations
17.
Roy, Kakoli & David H. Howard. (2006). Equity in out-of-pocket payments for hospital care: Evidence from India. Health Policy. 80(2). 297–307. 71 indexed citations
18.
Roblin, Douglas W., Edmund R. Becker, E. Kathleen Adams, David H. Howard, & Melissa Roberts. (2004). Patient Satisfaction With Primary Care. Medical Care. 42(6). 579–590. 103 indexed citations
19.
Howard, David H.. (1976). The Disequilibrium Model in a Controlled Economy: An Empirical Test of the Barro-Grossman Model. American Economic Review. 66(5). 871–879. 33 indexed citations
20.
Howard, David H.. (1975). The disequilibrium model in a controlled economy : a case study of the Soviet Union. University Microfilms International eBooks. 2 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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