Anna Zinovyeva
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- CRISPR and Genetic Engineering 3
- Wnt/β-catenin signaling in development and cancer 2
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Ganesh Panzade (4 shared papers)Wayne C. Forrester (3 shared papers)Victor Ambros (4 shared papers)Chiou‐Fen Chuang (1 shared paper)Hui Chiu (1 shared paper)Yan Zou (1 shared paper)Chieh Chang (1 shared paper)Yuko Yamamoto (1 shared paper)
- Journals
- Genetics (3 papers)Journal of Visualized Experiments (2 papers)Developmental Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Anna Zinovyeva
18 papers receiving 576 citations
Peers
Comparison fields: 5 of 76
- Aging 228
- Cancer Research 199
- Developmental Neuroscience 29
- Endocrine and Autonomic Systems 47
- Molecular Biology 374
Countries citing papers authored by Anna Zinovyeva
This map shows the geographic impact of Anna Zinovyeva'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 Anna Zinovyeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Zinovyeva more than expected).
Fields of papers citing papers by Anna Zinovyeva
This network shows the impact of papers produced by Anna Zinovyeva. 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 Anna Zinovyeva. The network helps show where Anna Zinovyeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Zinovyeva, 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 | 2020 | 154 | |
| 2 | 2013 | 122 | |
| 3 | 2008 | 73 | |
| 4 | 2005 | 55 | |
| 5 | 2021 | 41 | |
| 6 | 2014 | 33 | |
| 7 | 2015 | 22 | |
| 8 | 2005 | 17 | |
| 9 | 2003 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 9 | |
| 13 | 2021 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 |
About Anna Zinovyeva
Anna Zinovyeva is a scholar working on Molecular Biology, Aging, Cancer Research, Public Health, Environmental and Occupational Health and Genetics, having authored 18 papers that have together received 583 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), MicroRNA in disease regulation (7 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), CRISPR and Genetic Engineering (3 papers), Evolution and Genetic Dynamics (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Reproductive Biology and Fertility (2 papers). The work is most often cited by research in Aging (228 citations), Cancer Research (199 citations), Developmental Neuroscience (29 citations), Endocrine and Autonomic Systems (47 citations) and Molecular Biology (374 citations). Anna Zinovyeva has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Ganesh Panzade, Wayne C. Forrester, Victor Ambros, Chiou‐Fen Chuang, Hui Chiu, Yan Zou, Chieh Chang, Yuko Yamamoto, Hitoshi Sawa and Isana Veksler‐Lublinsky. Their work appears in journals such as Genetics, Journal of Visualized Experiments, Developmental Biology, Proceedings of the National Academy of Sciences and PLoS Genetics.
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.