Alexander Perfilyev
Impact in
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- Birth, Development, and Health
- Molecular Biology top 10%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
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- Epigenetics and DNA Methylation 18
- Muscle Physiology and Disorders 3
- RNA modifications and cancer 3
- Surgery 9
- Pancreatic function and diabetes 8
- Co-authors
- Charlotte Ling (41 shared papers)Emma Nilsson (16 shared papers)Jussi Pihlajamäki (10 shared papers)Vanessa D. de Mello (9 shared papers)Allan Vaag (18 shared papers)Tina Rönn (12 shared papers)Petr Volkov (10 shared papers)Sonia García-Calzón (11 shared papers)
In The Last Decade
Alexander Perfilyev
42 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Pediatrics, Perinatology and Child Health 274
- Molecular Biology 1.1k
- Endocrinology, Diabetes and Metabolism 215
- Physiology 336
- Reproductive Medicine 108
Countries citing papers authored by Alexander Perfilyev
This map shows the geographic impact of Alexander Perfilyev'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 Alexander Perfilyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Perfilyev more than expected).
Fields of papers citing papers by Alexander Perfilyev
This network shows the impact of papers produced by Alexander Perfilyev. 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 Alexander Perfilyev. The network helps show where Alexander Perfilyev may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Perfilyev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 293 | |
| 2 | 2015 | 212 | |
| 3 | 2015 | 142 | |
| 4 | 2016 | 137 | |
| 5 | 2017 | 128 | |
| 6 | 2015 | 103 | |
| 7 | 2016 | 100 | |
| 8 | 2015 | 77 | |
| 9 | 2017 | 59 | |
| 10 | 2016 | 56 | |
| 11 | 2017 | 54 | |
| 12 | 2016 | 48 | |
| 13 | 2017 | 45 | |
| 14 | 2018 | 43 | |
| 15 | 2020 | 42 | |
| 16 | 2018 | 41 | |
| 17 | 2023 | 40 | |
| 18 | 2020 | 36 | |
| 19 | 2021 | 34 | |
| 20 | 2016 | 32 |
About Alexander Perfilyev
Alexander Perfilyev is a scholar working on Molecular Biology, Surgery, Pediatrics, Perinatology and Child Health, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 43 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (18 papers), Pancreatic function and diabetes (8 papers), Birth, Development, and Health (7 papers), Liver Disease Diagnosis and Treatment (3 papers), Muscle Physiology and Disorders (3 papers), RNA modifications and cancer (3 papers), Gestational Diabetes Research and Management (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (274 citations), Molecular Biology (1.1k citations), Endocrinology, Diabetes and Metabolism (215 citations), Physiology (336 citations) and Reproductive Medicine (108 citations). Alexander Perfilyev has collaborated with scholars based in Sweden, Denmark and Finland. Frequent co-authors include Charlotte Ling, Emma Nilsson, Jussi Pihlajamäki, Vanessa D. de Mello, Allan Vaag, Tina Rönn, Petr Volkov, Sonia García-Calzón, Linn Gillberg and Peter Almgren. Their work appears in journals such as Diabetes, Clinical Epigenetics, Epigenomics, BMC Medicine and Scientific Reports.
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.