Eric C. Faulkner
Impact in
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- Cancer Immunotherapy and Biomarkers
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- Cancer Genomics and Diagnostics
Papers in
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- Health Systems, Economic Evaluations, Quality of Life 9
- Pharmaceutical Economics and Policy 4
- Economic and Financial Impacts of Cancer 2
- Innovation Policy and R&D 2
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- Statistical Methods in Clinical Trials 2
- Co-authors
- Margarita Udall (1 shared paper)Maria L. Rizzo (1 shared paper)Paul B. Robbins (1 shared paper)Jim P. Doherty (1 shared paper)Anke‐Peggy Holtorf (2 shared papers)Uwe Siebert (2 shared papers)Daryl S. Spinner (9 shared papers)John B. Watkins (2 shared papers)
- Journals
- Value in Health (9 papers)Diagnostic Pathology (1 paper)Journal of Pharmaceutical Sciences (1 paper)Cancer Research (1 paper)Journal of Medical Economics (1 paper)
- Partner nations
- United StatesUnited KingdomAustria
In The Last Decade
Eric C. Faulkner
18 papers receiving 550 citations
Peers
Comparison fields: 5 of 99
- Oncology 132
- Cancer Research 56
- Economics and Econometrics 109
- Immunology 54
- Statistics and Probability 22
Countries citing papers authored by Eric C. Faulkner
This map shows the geographic impact of Eric C. Faulkner'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 Eric C. Faulkner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Faulkner more than expected).
Fields of papers citing papers by Eric C. Faulkner
This network shows the impact of papers produced by Eric C. Faulkner. 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 Eric C. Faulkner. The network helps show where Eric C. Faulkner may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric C. Faulkner, 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 | 2018 | 164 | |
| 2 | 2012 | 124 | |
| 3 | 2020 | 89 | |
| 4 | 2005 | 51 | |
| 5 | 2005 | 36 | |
| 6 | 2016 | 35 | |
| 7 | 2019 | 25 | |
| 8 | 2020 | 15 | |
| 9 | 2006 | 13 | |
| 10 | 2014 | 4 | |
| 11 | 2019 | 4 | |
| 12 | 2014 | 2 | |
| 13 | 2016 | 2 | |
| 14 | 2013 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 1 | |
| 18 | 2020 | 1 |
About Eric C. Faulkner
Eric C. Faulkner is a scholar working on Economics and Econometrics, Statistics and Probability, Physiology, Pharmacy and Molecular Biology, having authored 18 papers that have together received 569 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Pharmaceutical Economics and Policy (4 papers), Biomedical Ethics and Regulation (3 papers), Statistical Methods in Clinical Trials (2 papers), Biomedical and Engineering Education (2 papers), Economic and Financial Impacts of Cancer (2 papers), Innovation Policy and R&D (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Oncology (132 citations), Cancer Research (56 citations), Economics and Econometrics (109 citations), Immunology (54 citations) and Statistics and Probability (22 citations). Eric C. Faulkner has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Margarita Udall, Maria L. Rizzo, Paul B. Robbins, Jim P. Doherty, Anke‐Peggy Holtorf, Uwe Siebert, Daryl S. Spinner, John B. Watkins, Katherine A. Payne and Haihong Fan. Their work appears in journals such as Value in Health, Diagnostic Pathology, Journal of Pharmaceutical Sciences, Cancer Research and Journal of Medical Economics.
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.