Justin Bohn

420 total citations
21 papers, 276 citations indexed

About

Justin Bohn is a scholar working on Economics and Econometrics, Pharmacology and Statistics and Probability. According to data from OpenAlex, Justin Bohn has authored 21 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 4 papers in Pharmacology and 4 papers in Statistics and Probability. Recurrent topics in Justin Bohn's work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmaceutical industry and healthcare (4 papers) and Pharmaceutical Economics and Policy (4 papers). Justin Bohn is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (6 papers), Pharmaceutical industry and healthcare (4 papers) and Pharmaceutical Economics and Policy (4 papers). Justin Bohn collaborates with scholars based in United States, Netherlands and Italy. Justin Bohn's co-authors include Unni M. Chandrasekharan, Paul E. DiCorleto, Earl Poptic, Joshua J. Gagne, Maria Siemionow, Lin Yang, Philip H. Howe, Marc S. Penn, Kağan Özer and Zhongmin Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Bioinformatics.

In The Last Decade

Justin Bohn

20 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Justin Bohn United States 9 76 54 40 30 24 21 276
Edward Abrahams United States 6 45 0.6× 74 1.4× 20 0.5× 15 0.5× 12 0.5× 12 319
Zhimin Yang China 11 74 1.0× 72 1.3× 38 0.9× 18 0.6× 31 1.3× 25 397
Ina Jazić United States 6 24 0.3× 126 2.3× 15 0.4× 16 0.5× 28 1.2× 9 321
Sima Ahadieh United States 7 27 0.4× 26 0.5× 60 1.5× 9 0.3× 17 0.7× 9 381
Mahasti Saghatchian France 7 63 0.8× 101 1.9× 25 0.6× 6 0.2× 12 0.5× 15 317
Lisa M. Peterson United States 10 24 0.3× 102 1.9× 27 0.7× 74 2.5× 23 1.0× 11 571
Joseph Sutton United States 5 28 0.4× 72 1.3× 12 0.3× 30 1.0× 39 1.6× 12 288
Kelly McQuarrie United States 13 46 0.6× 45 0.8× 67 1.7× 22 0.7× 67 2.8× 33 634
Amit Mittal India 8 56 0.7× 21 0.4× 12 0.3× 10 0.3× 55 2.3× 27 320
Shuang Zhou China 11 31 0.4× 75 1.4× 20 0.5× 17 0.6× 38 1.6× 30 316

Countries citing papers authored by Justin Bohn

Since Specialization
Citations

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

Fields of papers citing papers by Justin Bohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justin Bohn

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Bohn. A scholar is included among the top collaborators of Justin Bohn 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 Justin Bohn. Justin Bohn 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.
Simoneau, Gabrielle, Thomas P. A. Debray, Wei Wei, et al.. (2024). Visualizing the target estimand in comparative effectiveness studies with multiple treatments. Journal of Comparative Effectiveness Research. 13(2). e230089–e230089.
2.
Orr, Robert D., Justin Bohn, Alfred Sorbello, et al.. (2022). Evaluating Confounding Control in Estimations of Influenza Antiviral Effectiveness in Electronic Health Plan Data. American Journal of Epidemiology. 191(5). 908–920. 2 indexed citations
3.
Ontaneda, Daniel, Ellen M. Mowry, Scott D. Newsome, et al.. (2022). Benefits of early treatment with natalizumab: a real-world study. Multiple Sclerosis and Related Disorders. 68. 104216–104216. 4 indexed citations
4.
Simoneau, Gabrielle, Fabio Pellegrini, Thomas P. A. Debray, et al.. (2022). Recommendations for the use of propensity score methods in multiple sclerosis research. Multiple Sclerosis Journal. 28(9). 1467–1480. 13 indexed citations
5.
Welch, Emily C., et al.. (2021). Risk of hospitalized depression and intentional self-harm with brand and authorized generic sertraline. Journal of Affective Disorders. 296. 635–641. 2 indexed citations
6.
Andrade, Susan E., Mayura Shinde, Tiffany A. Moore Simas, et al.. (2021). Validation of an ICD‐10‐based algorithm to identify stillbirth in the Sentinel System. Pharmacoepidemiology and Drug Safety. 30(9). 1175–1183. 13 indexed citations
7.
Sansone, Valeria, Kathryn J. Swoboda, Darryl C. De Vivo, et al.. (2021). SMA - TREATMENT. Neuromuscular Disorders. 31. S135–S136. 1 indexed citations
8.
Horgan, Casie, Efe Eworuke, Elizabeth Dee, et al.. (2020). Complementary Use of U.S. FDA’s Adverse Event Reporting System and Sentinel System to Characterize Direct Oral Anticoagulants‐Associated Cutaneous Small Vessel Vasculitis. Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy. 40(11). 1099–1107. 8 indexed citations
9.
Ontaneda, Daniel, Ellen M. Mowry, Scott D. Newsome, et al.. (2020). Early Treatment with Natalizumab Is Associated with Improved Long-Term Cognitive and Physical Performance in Multiple Sclerosis: Results from MS PATHS (4970). Neurology. 94(15_supplement). 1 indexed citations
10.
Bohn, Justin, Sebastian Schneeweiß, Robert J. Glynn, et al.. (2019). Controlling Confounding in a Study of Oral Anticoagulants: Comparing Disease Risk Scores Developed Using Different Follow-Up Approaches. SHILAP Revista de lepidopterología. 7(1). 27–27. 3 indexed citations
11.
Desai, Rishi, Ameet Sarpatwari, Sara Z. Dejene, et al.. (2019). Comparative effectiveness of generic and brand-name medication use: A database study of US health insurance claims. PLoS Medicine. 16(3). e1002763–e1002763. 49 indexed citations
12.
Desai, Rishi, Richard Wyss, Yinzhu Jin, et al.. (2018). Extension of Disease Risk Score–Based Confounding Adjustments for Multiple Outcomes of Interest: An Empirical Evaluation. American Journal of Epidemiology. 187(11). 2439–2448. 8 indexed citations
13.
Desai, Rishi, Ameet Sarpatwari, Sara Z. Dejene, et al.. (2018). Differences in rates of switchbacks after switching from branded to authorized generic and branded to generic drug products: cohort study. BMJ. 361. k1180–k1180. 25 indexed citations
14.
Rogers, James R., Ameet Sarpatwari, Rishi Desai, et al.. (2018). Effect of Lawyer-Submitted Reports on Signals of Disproportional Reporting in the Food and Drug Administration’s Adverse Event Reporting System. Drug Safety. 42(1). 85–93. 6 indexed citations
15.
Setse, Rosanna, Corinne Woods, Bindu Kanapuru, et al.. (2018). Hydroxyurea Utilization Patterns Among Sickle Cell Disease Patients in the United States, US FDA Sentinel Database. Blood. 132(Supplement 1). 2372–2372. 1 indexed citations
16.
Bohn, Justin, Wesley Eddings, & Sebastian Schneeweiß. (2016). Conducting Privacy-Preserving Multivariable Propensity Score Analysis When Patient Covariate Information Is Stored in Separate Locations. American Journal of Epidemiology. 185(6). 501–510. 1 indexed citations
17.
Bohn, Justin, et al.. (2015). Patterns in spontaneous adverse event reporting among branded and generic antiepileptic drugs. Clinical Pharmacology & Therapeutics. 97(5). 508–517. 16 indexed citations
18.
Seamon, John G., et al.. (2012). Can survival processing enhance story memory? Testing the generalizability of the adaptive memory framework.. Journal of Experimental Psychology Learning Memory and Cognition. 38(4). 1045–1056. 18 indexed citations
19.
Hwang, Kyu‐Baek, et al.. (2012). gSearch: a fast and flexible general search tool for whole-genome sequencing. Bioinformatics. 28(16). 2176–2177. 8 indexed citations
20.
Chandrasekharan, Unni M., Maria Siemionow, Lin Yang, et al.. (2006). Tumor necrosis factor α (TNF-α) receptor-II is required for TNF-α–induced leukocyte-endothelial interaction in vivo. Blood. 109(5). 1938–1944. 79 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Edward Abrahams Breakdown of academic impact, for papers by Zhimin Yang Breakdown of academic impact, for papers by Ina Jazić Breakdown of academic impact, for papers by Sima Ahadieh Breakdown of academic impact, for papers by Mahasti Saghatchian Breakdown of academic impact, for papers by Lisa M. Peterson Breakdown of academic impact, for papers by Joseph Sutton Breakdown of academic impact, for papers by Kelly McQuarrie Breakdown of academic impact, for papers by Amit Mittal Breakdown of academic impact, for papers by Shuang Zhou
Rankless by CCL
2026