В. С. Сухоруков
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- Genetic Neurodegenerative Diseases 4
- Neuroscience and Neuropharmacology Research 4
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- Mitochondrial Function and Pathology 22
- Muscle Physiology and Disorders 4
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- Metabolism and Genetic Disorders 16
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- Alzheimer's disease research and treatments 8
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- Parkinson's Disease Mechanisms and Treatments 4
- Neurological Disorders and Treatments 4
- Co-authors
- С. Н. ИллариошкинI. A. Ivanova‐SmolenskayaElena D. MarkovaCheryl R. GreenbergEdward NylenKlaus WrogemannД. Н. ВоронковHajime Tanaka
- Partner nations
- RussiaUnited KingdomUnited States
In The Last Decade
В. С. Сухоруков
60 papers receiving 364 citations
Peers
Comparison fields: 5 of 73
- Cellular and Molecular Neuroscience 68
- Molecular Biology 251
- Clinical Biochemistry 23
- Physiology 88
- Genetics 27
Countries citing papers authored by В. С. Сухоруков
This map shows the geographic impact of В. С. Сухоруков'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 В. С. Сухоруков with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites В. С. Сухоруков more than expected).
Fields of papers citing papers by В. С. Сухоруков
This network shows the impact of papers produced by В. С. Сухоруков. 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 В. С. Сухоруков. The network helps show where В. С. Сухоруков may publish in the future.
Co-authorship network
The 25 scholars most cited alongside В. С. Сухоруков, 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 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2020 | 23 | |
| 9 | 2017 | 8 | |
| 10 | 2017 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2017 | 3 | |
| 13 | Atherosclerosis: Hypotheses and theories | 2016 | 1 |
| 14 | Oxidative stress and mitochondrial dysfunction in the pathogenesis of Down's disease | 2016 | 0 |
| 15 | Cytokine secretion in children with eosinophilia | 2016 | 1 |
| 16 | Tissue-specific features of mitochondrial DNA polymorphisms | 2016 | 1 |
| 17 | Glycogen storage disease type II (Pompe disease) in children | 2016 | 2 |
| 18 | Carnitine metabolic features in young athletes | 2016 | 0 |
| 19 | 2016 | 1 | |
| 20 | [Dystrophin gene expression in patients with Duchenne muscular dystrophy after myoblast transplantation]. | 2001 | 2 |
About В. С. Сухоруков
В. С. Сухоруков is a scholar working on Clinical Biochemistry, Neurology and Transplantation, having authored 81 papers that have together received 379 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Metabolism and Genetic Disorders (16 papers), Alzheimer's disease research and treatments (8 papers), Muscle Physiology and Disorders (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Neurodegenerative Diseases (4 papers), Neurological Disorders and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (68 citations), Molecular Biology (251 citations) and Clinical Biochemistry (23 citations). В. С. Сухоруков has collaborated with scholars based in Russia, United Kingdom and United States. Frequent co-authors include С. Н. Иллариошкин, I. A. Ivanova‐Smolenskaya, Elena D. Markova, Cheryl R. Greenberg, Edward Nylen, Klaus Wrogemann, Д. Н. Воронков, Hajime Tanaka, Kazima Bulayeva and Shoji Tsuji. Their work appears in journals such as International Journal of Molecular Sciences, Brain, Neurology, Journal of Neuroimmunology and Biopreservation and Biobanking.
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.