Eric C. Woolf
Impact in
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
- Dietary Effects on Health
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
- Physiology 15
- Diet and metabolism studies 15
- Adipose Tissue and Metabolism 3
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- Cancer, Hypoxia, and Metabolism 11
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Adrienne C. Scheck (18 shared papers)Nelofer Syed (4 shared papers)Danielle M. Lussier (1 shared paper)Joseph N. Blattman (1 shared paper)John L. Johnson (1 shared paper)Mark C. Preul (4 shared papers)Qingwei Liu (2 shared papers)Gregory Turner (2 shared papers)
- Journals
- Cancer Research (6 papers)Neuro-Oncology (2 papers)Journal of Lipid Research (1 paper)World Neurosurgery (1 paper)Journal of neurosurgery (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Eric C. Woolf
20 papers receiving 582 citations
Peers
Comparison fields: 5 of 78
- Physiology 306
- Cancer Research 160
- Genetics 88
- Biological Psychiatry 15
- Modeling and Simulation 25
Countries citing papers authored by Eric C. Woolf
This map shows the geographic impact of Eric C. Woolf'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. Woolf 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. Woolf more than expected).
Fields of papers citing papers by Eric C. Woolf
This network shows the impact of papers produced by Eric C. Woolf. 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. Woolf. The network helps show where Eric C. Woolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric C. Woolf, 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 | 2016 | 133 | |
| 2 | 2015 | 100 | |
| 3 | 2016 | 97 | |
| 4 | 2014 | 72 | |
| 5 | 2018 | 47 | |
| 6 | 2017 | 41 | |
| 7 | 2015 | 37 | |
| 8 | 2018 | 28 | |
| 9 | 2019 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2020 | 5 | |
| 12 | 2013 | 4 | |
| 13 | 2012 | 4 | |
| 14 | 2015 | 3 | |
| 15 | 2017 | 2 | |
| 16 | 2015 | 2 | |
| 17 | Ketogenic Therapy as an Adjuvant for Malignant Glioma:Impacts on Anti-Tumor Immunity | 2018 | 2 |
| 18 | 2016 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2014 | 1 |
About Eric C. Woolf
Eric C. Woolf is a scholar working on Physiology, Cancer Research, Molecular Biology, Genetics and Clinical Biochemistry, having authored 20 papers that have together received 592 indexed citations. Recurring topics across this work include Diet and metabolism studies (15 papers), Cancer, Hypoxia, and Metabolism (11 papers), Adipose Tissue and Metabolism (3 papers), Mitochondrial Function and Pathology (2 papers), Metabolism and Genetic Disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers), Glioma Diagnosis and Treatment (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Physiology (306 citations), Cancer Research (160 citations), Genetics (88 citations), Biological Psychiatry (15 citations) and Modeling and Simulation (25 citations). Eric C. Woolf has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Adrienne C. Scheck, Nelofer Syed, Danielle M. Lussier, Joseph N. Blattman, John L. Johnson, Mark C. Preul, Qingwei Liu, Gregory Turner, Christopher Dardis and Leonel Ampie. Their work appears in journals such as Cancer Research, Neuro-Oncology, Journal of Lipid Research, World Neurosurgery and Journal of neurosurgery.
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.