David D. Kim

3.5k total citations · 2 hit papers
82 papers, 2.3k citations indexed

About

David D. Kim is a scholar working on Economics and Econometrics, General Health Professions and Public Health, Environmental and Occupational Health. According to data from OpenAlex, David D. Kim has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Economics and Econometrics, 30 papers in General Health Professions and 20 papers in Public Health, Environmental and Occupational Health. Recurrent topics in David D. Kim's work include Health Systems, Economic Evaluations, Quality of Life (39 papers), Healthcare cost, quality, practices (21 papers) and Healthcare Policy and Management (17 papers). David D. Kim is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (39 papers), Healthcare cost, quality, practices (21 papers) and Healthcare Policy and Management (17 papers). David D. Kim collaborates with scholars based in United States, United Kingdom and Canada. David D. Kim's co-authors include Peter J. Neumann, Anirban Basu, Joshua T. Cohen, Daniel A. Ollendorf, John B. Wong, Dariush Mozaffarian, Ashley A. Leech, Natalia Kunst, James D. Chambers and Brianna N. Lauren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of the American College of Cardiology.

In The Last Decade

David D. Kim

72 papers receiving 2.2k 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.

Trends and Disparities in Cardiometabolic Health Among U.S. Adults, 1999-2018

2022 100 citations Meghan O’Hearn, Brianna N. Lauren et al. Journal of the American College of Cardiology profile →
Lifetime Health Effects and Cost-Effectiveness of Tirzepatide and Semaglutide in US Adults

2025 15 citations David D. Kim et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David D. Kim United States	26	553	551	464	287	257	82	2.3k
Nicola Magrini Italy	19	410 0.7×	572 1.0×	298 0.6×	301 1.0×	213 0.8×	51	2.0k
Georgia Kourlaba Greece	31	257 0.5×	949 1.7×	302 0.7×	328 1.1×	308 1.2×	202	3.0k
Elise Berliner United States	17	302 0.5×	399 0.7×	366 0.8×	376 1.3×	297 1.2×	33	2.1k
Kaan Tunceli United States	23	445 0.8×	185 0.3×	336 0.7×	297 1.0×	196 0.8×	61	2.1k
Glen Hazlewood Canada	26	304 0.5×	413 0.7×	313 0.7×	485 1.7×	818 3.2×	157	3.9k
Belgin Ünal Türkiye	26	287 0.5×	625 1.1×	590 1.3×	229 0.8×	299 1.2×	115	2.6k
Mary Butler United States	23	236 0.4×	341 0.6×	596 1.3×	238 0.8×	327 1.3×	60	1.9k
Rajesh Balkrishnan United States	36	526 1.0×	263 0.5×	571 1.2×	445 1.6×	803 3.1×	158	4.6k
Aírton Tetelbom Stein Brazil	31	273 0.5×	460 0.8×	813 1.8×	673 2.3×	647 2.5×	186	3.5k
Marvella E. Ford United States	28	280 0.5×	856 1.6×	687 1.5×	185 0.6×	435 1.7×	112	2.9k

Countries citing papers authored by David D. Kim

Since Specialization

Citations

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

Fields of papers citing papers by David D. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Kim. A scholar is included among the top collaborators of David D. Kim 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 D. Kim. David D. Kim 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

Kim, David D.. (2024). The role of simulation modelling in public health policy evaluation. The Lancet Public Health. 9(3). e150–e151.

Srivastava, Arnav, Anca Tilea, David D. Kim, Vanessa K. Dalton, & A. Mark Fendrick. (2024). Out‐of‐pocket costs for diagnostic testing following abnormal prostate cancer screening among privately insured men. Cancer. 130(19). 3305–3310.

Du, Mengxi, Frederick Cudhea, John B. Wong, et al.. (2023). What is the cost-effectiveness of menu calorie labelling on reducing obesity-associated cancer burdens? An economic evaluation of a federal policy intervention among 235 million adults in the USA. BMJ Open. 13(4). e063614–e063614. 3 indexed citations

Kim, David D., Lu Wang, Brianna N. Lauren, et al.. (2023). Development and Validation of the US Diabetes, Obesity, Cardiovascular Disease Microsimulation (DOC-M) Model: Health Disparity and Economic Impact Model. Medical Decision Making. 43(7-8). 930–948. 5 indexed citations

Kim, David D.. (2023). Accounting for Nonhealth and Future Costs in Cost-Effectiveness Analysis: Distributional Impacts of a US Cancer Prevention Strategy. PharmacoEconomics. 41(9). 1151–1164. 2 indexed citations

Neumann, Peter J. & David D. Kim. (2023). Cost-effectiveness Thresholds Used by Study Authors, 1990-2021. JAMA. 329(15). 1312–1312. 61 indexed citations

Olchanski, Natalia, et al.. (2022). The Impact of Broader Value Elements on Cost-Effectiveness Analysis: Two Case Studies. Value in Health. 25(8). 1336–1343. 10 indexed citations

Neumann, Peter J., et al.. (2022). A Systematic Review of Economic Evaluations of COVID-19 Interventions: Considerations of Non-Health Impacts and Distributional Issues. Value in Health. 25(8). 1298–1306. 15 indexed citations

O’Hearn, Meghan, Brianna N. Lauren, John B. Wong, David D. Kim, & Dariush Mozaffarian. (2022). Trends and Disparities in Cardiometabolic Health Among U.S. Adults, 1999-2018. Journal of the American College of Cardiology. 80(2). 138–151. 100 indexed citations breakdown →

10.

Adeoye‐Olatunde, Omolola A., et al.. (2022). Adaptation and validation of the patient assessment of chronic illness care in United States community pharmacies. BMC Health Services Research. 22(1). 355–355.

11.

Kim, David D., et al.. (2021). Do Centers for Medicare and Medicaid Services Quality Measures Reflect Cost-Effectiveness Evidence?. Value in Health. 24(11). 1586–1591. 5 indexed citations

12.

Leech, Ashley A., David D. Kim, Joshua T. Cohen, & Peter J. Neumann. (2020). Are low and middle-income countries prioritising high-value healthcare interventions?. BMJ Global Health. 5(2). e001850–e001850. 17 indexed citations

13.

Feng, Xue, David D. Kim, Joshua T. Cohen, Peter J. Neumann, & Daniel A. Ollendorf. (2020). Using QALYs versus DALYs to measure cost-effectiveness: How much does it matter?. International Journal of Technology Assessment in Health Care. 36(2). 96–103. 38 indexed citations

14.

Schneberk, Todd, et al.. (2020). Opioid prescription patterns among patients who doctor shop; Implications for providers. PLoS ONE. 15(5). e0232533–e0232533. 9 indexed citations

15.

Cohen, Joshua T., Kalipso Chalkidou, Yot Teerawattananon, et al.. (2019). Adherence to the iDSI reference case among published cost-per-DALY averted studies. PLoS ONE. 14(5). e0205633–e0205633. 27 indexed citations

16.

Kim, David D., Thomas A Trikalinos, & John B. Wong. (2019). Leveraging Cumulative Network Meta-analysis and Value of Information Analysis to Understand the Evolving Value of Medical Research. Medical Decision Making. 39(2). 119–129. 4 indexed citations

17.

Kim, David D., Parke Wilde, Dominique S. Michaud, et al.. (2019). Cost Effectiveness of Nutrition Policies on Processed Meat: Implications for Cancer Burden in the U.S.. American Journal of Preventive Medicine. 57(5). e143–e152. 20 indexed citations

18.

Schneberk, Todd, et al.. (2017). The Supply of Prescription Opioids: Contributions of Episodic-Care Prescribers and High-Quantity Prescribers. Annals of Emergency Medicine. 71(6). 668–673.e3. 8 indexed citations

19.

Rainville, James, et al.. (2015). Exploration of sensory impairments associated with C6 and C7 radiculopathies. The Spine Journal. 16(1). 49–54. 9 indexed citations

20.

Grayev, Allison, et al.. (2013). Residents' Perception of a Novel End-of-Rotation Evaluation Method. Academic Radiology. 20(3). 312–319. 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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