Lora E. Bakeeva
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
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- Metabolism and Genetic Disorders 5
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- Mitochondrial Function and Pathology 10
- ATP Synthase and ATPases Research 3
- Coenzyme Q10 studies and effects 1
- Co-authors
- Vladimir P. Skulachev (9 shared papers)Valeria B. Saprunova (3 shared papers)Olga Yu. Pletjushkina (3 shared papers)Boris V. Chernyak (3 shared papers)Lennart Brodin (1 shared paper)Oleg Shupliakov (1 shared paper)Andrei D. Vinogradov (1 shared paper)Tatyana V. Zharova (1 shared paper)
In The Last Decade
Lora E. Bakeeva
15 papers receiving 695 citations
Peers
Comparison fields: 5 of 102
- Aging 52
- Clinical Biochemistry 104
- Molecular Biology 516
- Physiology 136
- Biological Psychiatry 10
Countries citing papers authored by Lora E. Bakeeva
This map shows the geographic impact of Lora E. Bakeeva'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 Lora E. Bakeeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lora E. Bakeeva more than expected).
Fields of papers citing papers by Lora E. Bakeeva
This network shows the impact of papers produced by Lora E. Bakeeva. 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 Lora E. Bakeeva. The network helps show where Lora E. Bakeeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Lora E. Bakeeva, 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 | 2003 | 125 | |
| 2 | 2008 | 101 | |
| 3 | 2003 | 86 | |
| 4 | 2017 | 85 | |
| 5 | 2017 | 84 | |
| 6 | 1999 | 66 | |
| 7 | 2010 | 60 | |
| 8 | 2014 | 42 | |
| 9 | 1998 | 19 | |
| 10 | 2020 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2011 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2022 | 4 | |
| 15 | 2008 | 2 | |
| 16 | 2021 | 0 |
About Lora E. Bakeeva
Lora E. Bakeeva is a scholar working on Clinical Biochemistry, Molecular Biology, Aging, Physiology and Cell Biology, having authored 16 papers that have together received 714 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Metabolism and Genetic Disorders (5 papers), ATP Synthase and ATPases Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Autophagy in Disease and Therapy (2 papers), Diet and metabolism studies (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Coenzyme Q10 studies and effects (1 paper). The work is most often cited by research in Aging (52 citations), Clinical Biochemistry (104 citations), Molecular Biology (516 citations), Physiology (136 citations) and Biological Psychiatry (10 citations). Lora E. Bakeeva has collaborated with scholars based in Russia, Germany and Sweden. Frequent co-authors include Vladimir P. Skulachev, Valeria B. Saprunova, Olga Yu. Pletjushkina, Boris V. Chernyak, Lennart Brodin, Oleg Shupliakov, Andrei D. Vinogradov, Tatyana V. Zharova, Vera G. Grivennikova and Irina S. Gostimskaya. Their work appears in journals such as Aging, Biochimica et Biophysica Acta (BBA) - Bioenergetics, International Journal of Molecular Sciences, Molecular and Cellular Biochemistry and Cells.
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.