Justin Bohn
Impact in
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- Pharmacovigilance and Adverse Drug Reactions
Papers in
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- Health Systems, Economic Evaluations, Quality of Life 3
- Pharmaceutical Economics and Policy 2
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- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 2
- Statistical Methods and Inference 2
- Co-authors
- Joshua J. Gagne (5 shared papers)Rishi Desai (5 shared papers)Nazleen F. Khan (3 shared papers)Philip H. Howe (1 shared paper)Lin Yang (1 shared paper)Paul E. DiCorleto (1 shared paper)Zhongmin Zhou (1 shared paper)Marc S. Penn (1 shared paper)
- Journals
- American Journal of Epidemiology (3 papers)Blood (2 papers)Bioinformatics (1 paper)Journal of Experimental Psychology Learning Memory and Cognition (1 paper)Multiple Sclerosis and Related Disorders (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Justin Bohn
20 papers receiving 283 citations
Peers
Comparison fields: 5 of 83
- Toxicology 17
- Family Practice 7
- Economics and Econometrics 63
- Immunology and Allergy 12
- Pharmacology 17
Countries citing papers authored by Justin Bohn
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
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-authors
The 25 scholars most cited alongside Justin Bohn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 81 | |
| 2 | 2019 | 52 | |
| 3 | 2018 | 25 | |
| 4 | 2012 | 23 | |
| 5 | 2014 | 18 | |
| 6 | 2015 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2021 | 14 | |
| 9 | 2012 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 8 | |
| 13 | 2022 | 5 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2016 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2020 | 1 |
About Justin Bohn
Justin Bohn is a scholar working on Economics and Econometrics, Statistics and Probability, Genetics, Molecular Biology and Pathology and Forensic Medicine, having authored 22 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Genomics and Rare Diseases (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Statistical Methods in Clinical Trials (2 papers), Pharmaceutical Economics and Policy (2 papers), Multiple Sclerosis Research Studies (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Toxicology (17 citations), Family Practice (7 citations), Economics and Econometrics (63 citations), Immunology and Allergy (12 citations) and Pharmacology (17 citations). Justin Bohn has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Joshua J. Gagne, Rishi Desai, Nazleen F. Khan, Philip H. Howe, Lin Yang, Paul E. DiCorleto, Zhongmin Zhou, Marc S. Penn, Ameet Sarpatwari and Unni M. Chandrasekharan. Their work appears in journals such as American Journal of Epidemiology, Blood, Bioinformatics, Journal of Experimental Psychology Learning Memory and Cognition and Multiple Sclerosis and Related Disorders.
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.