Т. М. Первунина
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management 5
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- Cardiomyopathy and Myosin Studies 10
- Cardiovascular Effects of Exercise 8
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- Infant Nutrition and Health 7
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- Congenital Heart Disease Studies 11
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- Transplantation: Methods and Outcomes 5
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- Radiomics and Machine Learning in Medical Imaging 5
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- Neonatal Respiratory Health Research 5
- Co-authors
- Anna KostarevaPolina PopovaEvgenii PustozerovElena GrinevaNatalia SmolinaAnna ZlotinaС. И. СиткинArtem Kiselev
- Cited by
- Obstetrics and GynecologyCardiology and Cardiovascular MedicineHealth Information Management
- Journals
- Frontiers in Cardiovascular Medicine (3 papers)Stem Cell Research (2 papers)Nutrients (2 papers)
- Partner nations
- RussiaSwedenUnited States
In The Last Decade
Т. М. Первунина
51 papers receiving 399 citations
Peers
Comparison fields: 5 of 77
- Obstetrics and Gynecology 78
- Cardiology and Cardiovascular Medicine 158
- Health Information Management 13
- Pediatrics, Perinatology and Child Health 53
- Nutrition and Dietetics 34
Countries citing papers authored by Т. М. Первунина
This map shows the geographic impact of Т. М. Первунина'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 Т. М. Первунина with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Т. М. Первунина more than expected).
Fields of papers citing papers by Т. М. Первунина
This network shows the impact of papers produced by Т. М. Первунина. 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 Т. М. Первунина. The network helps show where Т. М. Первунина may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Т. М. Первунина, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2022 | 1 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 0 | |
| 14 | 2019 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2016 | 7 | |
| 18 | 2016 | 1 | |
| 19 | 2015 | 0 | |
| 20 | 2014 | 1 |
About Т. М. Первунина
Т. М. Первунина is a scholar working on Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology and Anatomy, having authored 76 papers that have together received 408 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (11 papers), Cardiomyopathy and Myosin Studies (10 papers), Cardiovascular Effects of Exercise (8 papers), Infant Nutrition and Health (7 papers), Transplantation: Methods and Outcomes (5 papers), Gestational Diabetes Research and Management (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Neonatal Respiratory Health Research (5 papers). The work is most often cited by research in Obstetrics and Gynecology (78 citations), Cardiology and Cardiovascular Medicine (158 citations) and Health Information Management (13 citations). Т. М. Первунина has collaborated with scholars based in Russia, Sweden and United States. Frequent co-authors include Anna Kostareva, Polina Popova, Evgenii Pustozerov, Elena Grineva, Natalia Smolina, Anna Zlotina, С. И. Ситкин, Artem Kiselev, Thomas Sejersen and С. В. Кононова. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Stem Cell Research, Nutrients, Orphanet Journal of Rare Diseases and Molecular Cytogenetics.
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.