Amber Wolfe
Impact in
- Geriatrics and Gerontology top 10%
- Small Animals top 10%
Papers in
-
- Metabolism, Diabetes, and Cancer 2
-
- Wound Healing and Treatments 4
- Co-authors
- Mark H. Ellisman (1 shared paper)Saswata Talukdar (1 shared paper)Miriam Scadeng (1 shared paper)Insook Jang (1 shared paper)Marc Foretz (1 shared paper)Hwan‐Woo Park (1 shared paper)Mariam Aghajan (1 shared paper)Benoı̂t Viollet (1 shared paper)
- Journals
- Comparative Medicine (2 papers)Journal of Virology (1 paper)Cell Metabolism (1 paper)Cancer Biology & Therapy (1 paper)IEEE Open Journal of Engineering in Medicine and Biology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Amber Wolfe
20 papers receiving 395 citations
Peers
Comparison fields: 5 of 82
- Geriatrics and Gerontology 22
- Small Animals 27
- Molecular Biology 201
- Cell Biology 47
- Aging 5
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 | 255 | |
| 2 | Efficacy of Tramadol as a Sole Analgesic for Postoperative Pain in Male and Female Mice. | 2015 | 28 |
| 3 | 2019 | 27 | |
| 4 | 2022 | 11 | |
| 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 | 2020 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2015 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2012 | 4 | |
| 16 | 2018 | 3 | |
| 17 | 2020 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2013 | 1 | |
| 20 | Exercise Intensity and Wound Healing in Diabetic Mice | 2013 | 1 |
About Amber Wolfe
Amber Wolfe is a scholar working on Molecular Biology, Rehabilitation, Epidemiology, Biomaterials and Biomedical Engineering, having authored 20 papers that have together received 402 indexed citations. Recurring topics across this work include Wound Healing and Treatments (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Microbial infections and disease research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Herpesvirus Infections and Treatments (2 papers), Poxvirus research and outbreaks (2 papers), Injury Epidemiology and Prevention (2 papers) and Burn Injury Management and Outcomes (2 papers). The work is most often cited by research in Geriatrics and Gerontology (22 citations), Small Animals (27 citations), Molecular Biology (201 citations), Cell Biology (47 citations) and Aging (5 citations). Amber Wolfe has collaborated with scholars based in United States and France. Frequent co-authors include Mark H. Ellisman, Saswata Talukdar, Miriam Scadeng, Insook Jang, Marc Foretz, Hwan‐Woo Park, Mariam Aghajan, Benoı̂t Viollet, Ethan Bier and Jerrold M. Olefsky. Their work appears in journals such as Comparative Medicine, Journal of Virology, Cell Metabolism, Cancer Biology & Therapy and IEEE Open Journal of Engineering in Medicine and Biology.
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.