Caleb Scheckel
Impact in
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- Meta-analysis and systematic reviews
Papers in ⓘ
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- Meta-analysis and systematic reviews 5
- Co-authors
- Matt Vassar (5 shared papers)Ronald S. Go (8 shared papers)Cole Wayant (1 shared paper)Mousumi Som (1 shared paper)Richard Butterfield (1 shared paper)Andrew Ross (1 shared paper)Talal Hilal (1 shared paper)Heidi Kosiorek (1 shared paper)
- Journals
- PLoS ONE (3 papers)Mayo Clinic Proceedings (2 papers)Journal of Clinical Oncology (2 papers)Blood (2 papers)JAMA Network Open (1 paper)
- Partner nations
- United States
In The Last Decade
Caleb Scheckel
22 papers receiving 227 citations
Peers
Comparison fields: 5 of 80
- Statistics, Probability and Uncertainty 68
- Hematology 24
- Public Health, Environmental and Occupational Health 61
- Economics and Econometrics 43
- Physiology 38
Countries citing papers authored by Caleb Scheckel
This map shows the geographic impact of Caleb Scheckel'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 Caleb Scheckel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caleb Scheckel more than expected).
Fields of papers citing papers by Caleb Scheckel
This network shows the impact of papers produced by Caleb Scheckel. 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 Caleb Scheckel. The network helps show where Caleb Scheckel may publish in the future.
Co-authors
The 25 scholars most cited alongside Caleb Scheckel, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 39 | |
| 2 | 2017 | 26 | |
| 3 | 2020 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2017 | 23 | |
| 6 | 2019 | 19 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 10 | |
| 9 | 2020 | 10 | |
| 10 | 2016 | 8 | |
| 11 | 2016 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 1 |
About Caleb Scheckel
Caleb Scheckel is a scholar working on Statistics, Probability and Uncertainty, Complementary and Manual Therapy, Emergency Medical Services, Economics and Econometrics and Gender Studies, having authored 25 papers that have together received 233 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Economic and Financial Impacts of Cancer (5 papers), Meta-analysis and systematic reviews (5 papers), Pharmaceutical Economics and Policy (4 papers), Global Health Workforce Issues (3 papers), Diversity and Career in Medicine (3 papers), Clinical practice guidelines implementation (2 papers) and Delphi Technique in Research (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (68 citations), Hematology (24 citations), Public Health, Environmental and Occupational Health (61 citations), Economics and Econometrics (43 citations) and Physiology (38 citations). Caleb Scheckel has collaborated with scholars based in United States. Frequent co-authors include Matt Vassar, Ronald S. Go, Cole Wayant, Mousumi Som, Richard Butterfield, Andrew Ross, Talal Hilal, Heidi Kosiorek, Jared Scott and Thai H. Ho. Their work appears in journals such as PLoS ONE, Mayo Clinic Proceedings, Journal of Clinical Oncology, Blood and JAMA Network Open.
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.