Beth Levine
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Physiology top 5%
Papers in
-
- Autophagy in Disease and Therapy 5
- Co-authors
- Junichi Sadoshima (4 shared papers)Peiyong Zhai (2 shared papers)Toshiro Saito (1 shared paper)Kensuke Egashira (1 shared paper)Masatoshi Nomura (1 shared paper)Akihiro Shirakabe (1 shared paper)Chiao‐Po Hsu (1 shared paper)Yoshiyuki Ikeda (1 shared paper)
- Journals
- Circulation (3 papers)Journal of Clinical Investigation (2 papers)Circulation Research (1 paper)Molecular Immunology (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesHungaryJapan
In The Last Decade
Beth Levine
11 papers receiving 1.4k citations
Beth Levine's Hit Papers
Peers
Comparison fields: 5 of 85
- Immunology 423
- Physiology 85
- Epidemiology 634
- Geriatrics and Gerontology 42
- Molecular Biology 623
Countries citing papers authored by Beth Levine
This map shows the geographic impact of Beth Levine'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 Beth Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Levine more than expected).
Fields of papers citing papers by Beth Levine
This network shows the impact of papers produced by Beth Levine. 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 Beth Levine. The network helps show where Beth Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth Levine, 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 | 2007 | 436 | |
| 2 | Drp1-Dependent Mitochondrial Autophagy Plays a Protective Role Against Pressure Overload–Induced Mitochondrial Dysfunction and Heart Failure Hit paper breakdown → | 2016 | 370 |
| 3 | Beclin-1-Dependent Autophagy Protects the Heart During Sepsis Hit paper breakdown → | 2018 | 307 |
| 4 | 2020 | 114 | |
| 5 | 2020 | 45 | |
| 6 | 2000 | 42 | |
| 7 | 2016 | 34 | |
| 8 | 2023 | 8 | |
| 9 | 1997 | 4 | |
| 10 | 2015 | 1 | |
| 11 | 2006 | 1 |
About Beth Levine
Beth Levine is a scholar working on Epidemiology, Molecular Biology, Clinical Biochemistry, Immunology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 1.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Advanced Glycation End Products research (3 papers), interferon and immune responses (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), HIV Research and Treatment (1 paper), Enzyme-mediated dye degradation (1 paper) and Space Exploration and Technology (1 paper). The work is most often cited by research in Immunology (423 citations), Physiology (85 citations), Epidemiology (634 citations), Geriatrics and Gerontology (42 citations) and Molecular Biology (623 citations). Beth Levine has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include Junichi Sadoshima, Peiyong Zhai, Toshiro Saito, Kensuke Egashira, Masatoshi Nomura, Akihiro Shirakabe, Chiao‐Po Hsu, Yoshiyuki Ikeda, Yasuhiro Maejima and Natalia Frias‐Staheli. Their work appears in journals such as Circulation, Journal of Clinical Investigation, Circulation Research, Molecular Immunology and JCI Insight.
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.