Anatoly A. Starkov
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders 21
- Aging top 1%
- Physiology top 0.5%
- Adipose Tissue and Metabolism 17
- Alzheimer's disease research and treatments 12
- Biochemistry top 0.5%
- Molecular Biology top 0.5%
- Mitochondrial Function and Pathology 72
- ATP Synthase and ATPases Research 17
-
- Neuroscience and Neuropharmacology Research 12
- Genetic Neurodegenerative Diseases 10
-
- Parkinson's Disease Mechanisms and Treatments 8
- Co-authors
- Gary FiskumVladimir P. SkulachevSergey KorshunovAlexander Y. AndreyevChristos ChinopoulosKendall B. WallaceM. Flint BealVadim S. Ten
- Cited by
- Clinical BiochemistryAgingPhysiology
- Partner nations
- United StatesRussiaHungary
In The Last Decade
Anatoly A. Starkov
121 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Clinical Biochemistry 1.1k
- Aging 195
- Physiology 2.8k
- Biochemistry 755
- Molecular Biology 7.0k
Countries citing papers authored by Anatoly A. Starkov
This map shows the geographic impact of Anatoly A. Starkov'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 Anatoly A. Starkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anatoly A. Starkov more than expected).
Fields of papers citing papers by Anatoly A. Starkov
This network shows the impact of papers produced by Anatoly A. Starkov. 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 Anatoly A. Starkov. The network helps show where Anatoly A. Starkov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anatoly A. Starkov, 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 | 2022 | 5 | |
| 2 | 2020 | 9 | |
| 3 | 2019 | 52 | |
| 4 | 2018 | 30 | |
| 5 | 2018 | 40 | |
| 6 | 2014 | 17 | |
| 7 | 2014 | 67 | |
| 8 | 2013 | 60 | |
| 9 | 2013 | 33 | |
| 10 | 2012 | 64 | |
| 11 | In Vivo Pathogenic Role of Mutant SOD1 Localized in the Mitochondrial Intermembrane Space | 2011 | 3 |
| 12 | 2011 | 72 | |
| 13 | 2011 | 30 | |
| 14 | 2010 | 41 | |
| 15 | 2008 | 21 | |
| 16 | 2004 | 47 | |
| 17 | 2000 | 51 | |
| 18 | 1997 | 146 | |
| 19 | 1997 | 34 | |
| 20 | 1997 | 50 |
About Anatoly A. Starkov
Anatoly A. Starkov is a scholar working on Clinical Biochemistry, Biochemistry and Physiology, having authored 122 papers that have together received 11.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (72 papers), Metabolism and Genetic Disorders (21 papers), ATP Synthase and ATPases Research (17 papers), Adipose Tissue and Metabolism (17 papers), Alzheimer's disease research and treatments (12 papers), Neuroscience and Neuropharmacology Research (12 papers), Genetic Neurodegenerative Diseases (10 papers) and Parkinson's Disease Mechanisms and Treatments (8 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Aging (195 citations) and Physiology (2.8k citations). Anatoly A. Starkov has collaborated with scholars based in United States, Russia and Hungary. Frequent co-authors include Gary Fiskum, Vladimir P. Skulachev, Sergey Korshunov, Alexander Y. Andreyev, Christos Chinopoulos, Kendall B. Wallace, M. Flint Beal, Vadim S. Ten, В. Н. Попов and Brian M. Polster. Their work appears in journals such as FEBS Letters, The FASEB Journal, Journal of Neurochemistry, Journal of Neuroscience and Antioxidants and Redox Signaling.
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.