Jonathan J. Darrow

2.4k total citations · 1 hit paper
85 papers, 1.6k citations indexed

About

Jonathan J. Darrow is a scholar working on Economics and Econometrics, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, Jonathan J. Darrow has authored 85 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Economics and Econometrics, 16 papers in Pediatrics, Perinatology and Child Health and 15 papers in Pharmacology. Recurrent topics in Jonathan J. Darrow's work include Pharmaceutical Economics and Policy (49 papers), Health Systems, Economic Evaluations, Quality of Life (44 papers) and Pharmaceutical studies and practices (16 papers). Jonathan J. Darrow is often cited by papers focused on Pharmaceutical Economics and Policy (49 papers), Health Systems, Economic Evaluations, Quality of Life (44 papers) and Pharmaceutical studies and practices (16 papers). Jonathan J. Darrow collaborates with scholars based in United States, Canada and Australia. Jonathan J. Darrow's co-authors include Aaron S. Kesselheim, Jerry Avorn, Jessica M. Franklin, Thomas J. Hwang, Bo Wang, Ameet Sarpatwari, Reed F. Beall, Bishal Gyawali, John Rex and Holly Fernandez Lynch and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Communications.

In The Last Decade

Jonathan J. Darrow

78 papers receiving 1.5k citations

Hit Papers

FDA Approval and Regulation of Pharmaceuticals, 1983-2018 2020 2026 2022 2024 2020 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
Jonathan J. Darrow United States 18 876 278 235 195 188 85 1.6k
Thomas J. Hwang United States 25 984 1.1× 169 0.6× 201 0.9× 326 1.7× 225 1.2× 94 2.1k
Jorge Mestre-Ferrándiz United Kingdom 15 653 0.7× 119 0.4× 123 0.5× 139 0.7× 153 0.8× 73 1.4k
Michael Hay Australia 3 271 0.3× 126 0.5× 561 2.4× 53 0.3× 164 0.9× 7 1.7k
Enrique Seoane‐Vazquez United States 21 349 0.4× 108 0.4× 140 0.6× 177 0.9× 134 0.7× 87 1.2k
Shunsuke Ono Japan 17 278 0.3× 109 0.4× 110 0.5× 101 0.5× 112 0.6× 68 918
Angela Brand Netherlands 22 220 0.3× 143 0.5× 331 1.4× 65 0.3× 364 1.9× 106 1.5k
Scott Gottlieb United States 20 167 0.2× 230 0.8× 286 1.2× 117 0.6× 216 1.1× 129 2.1k
Michael P. Douglas United States 23 301 0.3× 73 0.3× 454 1.9× 179 0.9× 229 1.2× 61 2.0k
Brian Warrington United Kingdom 2 238 0.3× 48 0.2× 475 2.0× 29 0.1× 183 1.0× 3 1.3k
Martin B Van Der Weyden Australia 25 118 0.1× 104 0.4× 691 2.9× 123 0.6× 400 2.1× 209 2.4k

Countries citing papers authored by Jonathan J. Darrow

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Darrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Darrow. 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 Jonathan J. Darrow. The network helps show where Jonathan J. Darrow may publish in the future.

Co-authorship network of co-authors of Jonathan J. Darrow

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Darrow. A scholar is included among the top collaborators of Jonathan J. Darrow 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 Jonathan J. Darrow. Jonathan J. Darrow 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.
Rand, Leah Z., Sarah McGraw, Junyi Wang, Jonathan J. Darrow, & Aaron S. Kesselheim. (2025). Impostor Syndrome: Fraudulent Participants in Qualitative Research Can Skew Results. The Journal of Law Medicine & Ethics. 53(2). 307–312.
2.
Feldman, William B., Leah Z. Rand, Daniel Carpenter, et al.. (2024). Trust in the Food and Drug Administration: A National Survey Study. Clinical Pharmacology & Therapeutics. 116(2). 408–414. 3 indexed citations
3.
Kesselheim, Aaron S., et al.. (2023). Variation in Endpoints in FDA Medication Approvals. Neurology. 101(10). e989–e1000.
4.
Rand, Leah Z., et al.. (2023). Securing the Trustworthiness of the FDA to Build Public Trust in Vaccines. The Hastings Center Report. 53(S2). S60–S68. 4 indexed citations
5.
Liddicoat, John, et al.. (2023). Repositioning Generic Drugs: Empirical Findings and Policy Implications. SSRN Electronic Journal. 2 indexed citations
6.
Darrow, Jonathan J., et al.. (2022). Incremental benefits of novel pharmaceuticals in the UK: a cross-sectional analysis of NICE technology appraisals from 2010 to 2020. BMJ Open. 12(4). e058279–e058279. 5 indexed citations
7.
Darrow, Jonathan J.. (2018). Explaining the absence of surgical procedure regulation.. PubMed. 27(1). 189–206. 8 indexed citations
8.
Kesselheim, Aaron S. & Jonathan J. Darrow. (2015). Hatch-Waxman Turns 30: Do We Need a Re-Designed Approach for the Modern Era?. PubMed. 15(2). 293–347. 13 indexed citations
9.
Darrow, Jonathan J.. (2014). Crowdsourcing Clinical Trials. Minnesota law review. 2 indexed citations
10.
Darrow, Jonathan J.. (2013). Pharmaceutical Efficacy: The Illusory Legal Standard. Washington and Lee law review. 70(4). 2073. 9 indexed citations
11.
Darrow, Jonathan J.. (2011). Essential Medicines: Why International Price Discrimination May Increasingly Be the Wrong Solution to a Global Drug Problem. SSRN Electronic Journal. 1 indexed citations
12.
Darrow, Jonathan J.. (2009). The Neglected Dimension of Patent Law's PHOSITA Standard. SSRN Electronic Journal. 23(1). 227. 3 indexed citations
13.
Darrow, Jonathan J., et al.. (2008). The Search Engine Advertising Market: Lucrative Space or Trademark Liability?. SSRN Electronic Journal. 1 indexed citations
14.
O'Brien, Christine Neylon & Jonathan J. Darrow. (2007). ADVERSE EMPLOYMENT CONSEQUENCES TRIGGERED BY CRIMINAL CONVICTIONS: RECENT CASES INTERPRET STATE STATUTES PROHIBITING DISCRIMINATION. SSRN Electronic Journal. 42(4). 991–1028. 3 indexed citations
15.
Darrow, Jonathan J., et al.. (2007). 'Do You Really Need My Social Security Number?' Data Collection Practices in the Digital Age. SSRN Electronic Journal. 10(1). 1. 1 indexed citations
16.
Darrow, Jonathan J., et al.. (2007). Social Networking Web Sites and the DMCA: A Safe-Harbor from Copyright Infringement Liability or the Perfect Storm?. SSRN Electronic Journal. 6(1). 1. 2 indexed citations
17.
Darrow, Jonathan J.. (2006). The Patentability of Enantiomers: Implications for the Pharmaceutical Industry. SSRN Electronic Journal. 6 indexed citations
18.
Darrow, Jonathan J., et al.. (2006). Employment Termination for Employee Blogging: Number One Tech Trend for 2005 and Beyond, or a Recipe for Getting Dooced?. SSRN Electronic Journal. 3 indexed citations
19.
Darrow, Jonathan J., et al.. (2006). Who Owns a Decedent’s E-Mails: Inheritable Probate Assets or Property of the Network?. SSRN Electronic Journal. 3 indexed citations
20.
O'Brien, Christine Neylon & Jonathan J. Darrow. (2004). The Question Remains After Raytheon Co. v. Hernandez: Whether No-Rehire Rules Disparately Impact Alcoholics and Former Drug Abusers. University of Pennsylvania journal of business law. 7(1). 157–172.

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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