Jeff Maca
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Advanced Causal Inference Techniques
Papers in
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- Statistical Methods in Clinical Trials 15
-
- Health Systems, Economic Evaluations, Quality of Life 7
- Co-authors
- Michael Krams (3 shared papers)Maurizio Salvadori (1 shared paper)Michael Hall (1 shared paper)Federico Oppenheimer (1 shared paper)Wolfgang Arns (1 shared paper)Herwig Holzer (1 shared paper)Angelo de Mattos (1 shared paper)Hans W. Sollinger (1 shared paper)
- Journals
- Therapeutic Innovation & Regulatory Science (3 papers)Drug Information Journal (3 papers)Journal of Biopharmaceutical Statistics (2 papers)Statistics in Biopharmaceutical Research (2 papers)American Journal of Transplantation (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Jeff Maca
17 papers receiving 619 citations
Peers
Comparison fields: 5 of 68
- Transplantation 206
- Statistics and Probability 316
- Management Science and Operations Research 125
- Statistics, Probability and Uncertainty 57
- Psychiatry and Mental health 85
Countries citing papers authored by Jeff Maca
This map shows the geographic impact of Jeff Maca'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 Jeff Maca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Maca more than expected).
Fields of papers citing papers by Jeff Maca
This network shows the impact of papers produced by Jeff Maca. 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 Jeff Maca. The network helps show where Jeff Maca may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Maca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 260 | |
| 2 | 2006 | 100 | |
| 3 | 2007 | 91 | |
| 4 | 2009 | 69 | |
| 5 | 2010 | 48 | |
| 6 | 2002 | 22 | |
| 7 | 2024 | 20 | |
| 8 | 2013 | 15 | |
| 9 | 2013 | 12 | |
| 10 | 2016 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 7 | |
| 13 | 2017 | 4 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2007 | 0 | |
| 19 | 2022 | 0 |
About Jeff Maca
Jeff Maca is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 666 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (15 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Optimal Experimental Design Methods (5 papers), Cancer Genomics and Diagnostics (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Meta-analysis and systematic reviews (2 papers), Diabetes Treatment and Management (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Transplantation (206 citations), Statistics and Probability (316 citations), Management Science and Operations Research (125 citations), Statistics, Probability and Uncertainty (57 citations) and Psychiatry and Mental health (85 citations). Jeff Maca has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Michael Krams, Maurizio Salvadori, Michael Hall, Federico Oppenheimer, Wolfgang Arns, Herwig Holzer, Angelo de Mattos, Hans W. Sollinger, Paul Gallo and Vladimir Dragalin. Their work appears in journals such as Therapeutic Innovation & Regulatory Science, Drug Information Journal, Journal of Biopharmaceutical Statistics, Statistics in Biopharmaceutical Research and American Journal of Transplantation.
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.