Dane M. Wolf
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Structural Biology top 10%
Papers in
-
- Mitochondrial Function and Pathology 12
- ATP Synthase and ATPases Research 4
- Metabolomics and Mass Spectrometry Studies 3
-
- Adipose Tissue and Metabolism 5
- Co-authors
- Orian S. Shirihai (10 shared papers)Marc Liesa (8 shared papers)Mayuko Segawa (8 shared papers)Michael A. Teitell (1 shared paper)Fasih M. Ahsan (1 shared paper)Arun Kumar Kondadi (2 shared papers)Andreas S. Reichert (2 shared papers)Ruchika Anand (2 shared papers)
- Journals
- Nature Communications (2 papers)Molecular Metabolism (2 papers)Science Translational Medicine (2 papers)Nature (1 paper)The EMBO Journal (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Dane M. Wolf
19 papers receiving 1.2k citations
Dane M. Wolf's Hit Papers
Peers
Comparison fields: 5 of 95
- Clinical Biochemistry 153
- Structural Biology 18
- Molecular Biology 699
- Biophysics 52
- Immunology 177
Countries citing papers authored by Dane M. Wolf
This map shows the geographic impact of Dane M. Wolf'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 Dane M. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dane M. Wolf more than expected).
Fields of papers citing papers by Dane M. Wolf
This network shows the impact of papers produced by Dane M. Wolf. 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 Dane M. Wolf. The network helps show where Dane M. Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Dane M. Wolf, 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 | 2019 | 264 | |
| 2 | 2018 | 232 | |
| 3 | 2020 | 137 | |
| 4 | 2023 | 113 | |
| 5 | 2020 | 87 | |
| 6 | Pro-inflammatory macrophages produce mitochondria-derived superoxide by reverse electron transport at complex I that regulates IL-1β release during NLRP3 inflammasome activation Hit paper breakdown → | 2025 | 74 |
| 7 | 2019 | 49 | |
| 8 | 2021 | 42 | |
| 9 | 2020 | 40 | |
| 10 | 2022 | 34 | |
| 11 | 2018 | 31 | |
| 12 | 2018 | 15 | |
| 13 | 2020 | 14 | |
| 14 | 2024 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2014 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2025 | 5 | |
| 19 | 2021 | 3 |
About Dane M. Wolf
Dane M. Wolf is a scholar working on Molecular Biology, Physiology, Epidemiology, Biophysics and Geriatrics and Gerontology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), Adipose Tissue and Metabolism (5 papers), ATP Synthase and ATPases Research (4 papers), Pancreatic function and diabetes (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Autophagy in Disease and Therapy (3 papers), Cell Image Analysis Techniques (2 papers) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Clinical Biochemistry (153 citations), Structural Biology (18 citations), Molecular Biology (699 citations), Biophysics (52 citations) and Immunology (177 citations). Dane M. Wolf has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Orian S. Shirihai, Marc Liesa, Mayuko Segawa, Michael A. Teitell, Fasih M. Ahsan, Arun Kumar Kondadi, Andreas S. Reichert, Ruchika Anand, Alexander M. van der Bliek and David B. Shackelford. Their work appears in journals such as Nature Communications, Molecular Metabolism, Science Translational Medicine, Nature and The EMBO Journal.
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.