Amber Wolfe
Impact in
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- Sirtuins and Resveratrol in Medicine
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- Adipose Tissue and Metabolism
Papers in
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- Wound Healing and Treatments 4
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- Burn Injury Management and Outcomes 2
- Co-authors
- Insook Jang (1 shared paper)Michael Karin (1 shared paper)Guy Perkins (1 shared paper)Mariam Aghajan (1 shared paper)Eek Joong Park (1 shared paper)Marc Foretz (1 shared paper)Saswata Talukdar (1 shared paper)Miriam Scadeng (1 shared paper)
- Journals
- Cell Metabolism (1 paper)Transfusion (1 paper)IEEE Open Journal of Engineering in Medicine and Biology (1 paper)Frontiers in Immunology (1 paper)Shock (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Amber Wolfe
19 papers receiving 370 citations
Peers
Comparison fields: 5 of 85
- Geriatrics and Gerontology 25
- Physiology 14
- Cell Biology 49
- Molecular Biology 203
- Small Animals 21
Countries citing papers authored by Amber Wolfe
This map shows the geographic impact of Amber Wolfe'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 Amber Wolfe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amber Wolfe more than expected).
Fields of papers citing papers by Amber Wolfe
This network shows the impact of papers produced by Amber Wolfe. 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 Amber Wolfe. The network helps show where Amber Wolfe may publish in the future.
Co-authors
The 25 scholars most cited alongside Amber Wolfe, 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 | 2012 | 246 | |
| 2 | 2019 | 27 | |
| 3 | Efficacy of Tramadol as a Sole Analgesic for Postoperative Pain in Male and Female Mice. | 2015 | 24 |
| 4 | 2022 | 10 | |
| 5 | Effects of buprenorphine and estrous cycle in a murine model of cecal ligation and puncture. | 2014 | 10 |
| 6 | 2015 | 9 | |
| 7 | Low-intensity Exercise Accelerates Wound Healing in Diabetic Mice. | 2018 | 9 |
| 8 | 2021 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2018 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 1 | |
| 19 | Exercise Intensity and Wound Healing in Diabetic Mice | 2013 | 1 |
About Amber Wolfe
Amber Wolfe is a scholar working on Rehabilitation, Epidemiology, Biomaterials, Biomedical Engineering and Small Animals, having authored 19 papers that have together received 375 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Wound Healing and Treatments (4 papers), Nanoplatforms for cancer theranostics (2 papers), Veterinary Pharmacology and Anesthesia (2 papers), Nanopore and Nanochannel Transport Studies (2 papers), Poxvirus research and outbreaks (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers) and Burn Injury Management and Outcomes (2 papers). The work is most often cited by research in Geriatrics and Gerontology (25 citations), Physiology (14 citations), Cell Biology (49 citations), Molecular Biology (203 citations) and Small Animals (21 citations). Amber Wolfe has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Insook Jang, Michael Karin, Guy Perkins, Mariam Aghajan, Eek Joong Park, Marc Foretz, Saswata Talukdar, Miriam Scadeng, Andrei V. Budanov and Ethan Bier. Their work appears in journals such as Cell Metabolism, Transfusion, IEEE Open Journal of Engineering in Medicine and Biology, Frontiers in Immunology and Shock.
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.