Mark E. Boye
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Pain Management and Opioid Use
Papers in ⓘ
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- Statistical Methods and Inference 4
- Co-authors
- Joseph G. Ibrahim (6 shared papers)Wei Shen (5 shared papers)Jack Mardekian (1 shared paper)Mani Lakshminarayanan (1 shared paper)Mark P. Jensen (1 shared paper)Danjie Zhang (5 shared papers)Ming‐Hui Chen (3 shared papers)Stanley Lemeshow (1 shared paper)
- Journals
- Value in Health (5 papers)Journal of Clinical Oncology (4 papers)Anesthesiology (2 papers)Statistics in Medicine (2 papers)PharmacoEconomics (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Mark E. Boye
36 papers receiving 829 citations
Peers
Comparison fields: 5 of 137
- Statistics and Probability 156
- Anesthesiology and Pain Medicine 77
- Pharmacology 110
- Oncology 141
- Pulmonary and Respiratory Medicine 157
Countries citing papers authored by Mark E. Boye
This map shows the geographic impact of Mark E. Boye'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 Mark E. Boye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Boye more than expected).
Fields of papers citing papers by Mark E. Boye
This network shows the impact of papers produced by Mark E. Boye. 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 Mark E. Boye. The network helps show where Mark E. Boye may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Boye, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 116 | |
| 2 | 2014 | 92 | |
| 3 | 2007 | 74 | |
| 4 | 2001 | 68 | |
| 5 | 2020 | 49 | |
| 6 | 2011 | 49 | |
| 7 | 2016 | 35 | |
| 8 | 2014 | 33 | |
| 9 | 2001 | 31 | |
| 10 | 2012 | 31 | |
| 11 | 2011 | 29 | |
| 12 | 2016 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2011 | 26 | |
| 15 | 2014 | 25 | |
| 16 | 2012 | 21 | |
| 17 | 2009 | 19 | |
| 18 | 2015 | 17 | |
| 19 | 2013 | 16 | |
| 20 | 2015 | 13 |
About Mark E. Boye
Mark E. Boye is a scholar working on Statistics and Probability, Anesthesiology and Pain Medicine, Oncology, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 40 papers that have together received 851 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Lung Cancer Treatments and Mutations (7 papers), Cancer Treatment and Pharmacology (4 papers), Statistical Methods and Inference (4 papers), Colorectal Cancer Treatments and Studies (4 papers), Advanced Breast Cancer Therapies (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Statistics and Probability (156 citations), Anesthesiology and Pain Medicine (77 citations), Pharmacology (110 citations), Oncology (141 citations) and Pulmonary and Respiratory Medicine (157 citations). Mark E. Boye has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Joseph G. Ibrahim, Wei Shen, Jack Mardekian, Mani Lakshminarayanan, Mark P. Jensen, Danjie Zhang, Ming‐Hui Chen, Stanley Lemeshow, Stacy Hoshaw‐Woodard and Diane L. Langkamp. Their work appears in journals such as Value in Health, Journal of Clinical Oncology, Anesthesiology, Statistics in Medicine and PharmacoEconomics.
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.