Vasily Shinin
- Molecular Biology top 5%
- Surgery top 10%
- Cell Biology top 5%
- Genetics top 5%
- Physiology top 10%
- Co-authors
- Shahragim TajbakhshBarbara Gayraud-MorelDanielle GomèsMargaret BuckinghamDidier RocancourtLina Kassar-DuchossoyGrégoire ValletFrançois‐Jérôme Authier
- Topics
- Muscle Physiology and Disorders (4 papers)Caveolin-1 and cellular processes (3 papers)Blood properties and coagulation (2 papers)
- Cited by
- AgingBiophysicsGenetics
- Partner nations
- FranceUnited StatesRussia
In The Last Decade
Vasily Shinin
14 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.4k
- Surgery 368
- Cell Biology 285
- Genetics 281
- Physiology 279
Countries citing papers authored by Vasily Shinin
This map shows the geographic impact of Vasily Shinin'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 Vasily Shinin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vasily Shinin more than expected).
Fields of papers citing papers by Vasily Shinin
This network shows the impact of papers produced by Vasily Shinin. 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 Vasily Shinin. The network helps show where Vasily Shinin may publish in the future.
Co-authorship network of co-authors of Vasily Shinin
This figure shows the co-authorship network connecting the top 25 collaborators of Vasily Shinin. A scholar is included among the top collaborators of Vasily Shinin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vasily Shinin. Vasily Shinin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 2 | |
| 3 | 24 | |
| 4 | 39 | |
| 5 | 85 | |
| 6 | 32 | |
| 7 | Muscle Satellite Cells and Endothelial Cells: Close Neighbors and Privileged Partnersbreakdown → | 512 |
| 8 | 367 | |
| 9 | 237 | |
| 10 | Mrf4 determines skeletal muscle identity in Myf5:Myod double-mutant micebreakdown → | 503 |
| 11 | [An efficiency study of transplantation of allogenic fibroblasts cultivated in collagen gel for the treatment of corneal burn defects in experiment]. | 2 |
| 12 | [Morphological and immunohistochemical characteristics of repair processes in nonhealing wounds]. | 1 |
| 13 | [Induction of invasion and epithelial tubulogenesis in primary human keratinocyte culture]. | 1 |
| 14 | 0 | |
| 15 | [Growth of human epidermal keratinocytes on the collagen gel]. | 1 |
About Vasily Shinin
Vasily Shinin is a scholar working on Cell Biology, Genetics and Biophysics, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Caveolin-1 and cellular processes (3 papers) and Blood properties and coagulation (2 papers). The work is most often cited by research in Aging (92 citations), Biophysics (194 citations) and Genetics (281 citations). Vasily Shinin has collaborated with scholars based in France, United States and Russia. Frequent co-authors include Shahragim Tajbakhsh, Barbara Gayraud-Morel, Danielle Gomès, Margaret Buckingham, Didier Rocancourt, Lina Kassar-Duchossoy, Grégoire Vallet, François‐Jérôme Authier, Christo Christov and Yann Bassaglia. Their work appears in journals such as Nature, Nature Cell Biology and IEEE Transactions on Image Processing.
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.