Mikhail Shaposhnikov
- Molecular Biology top 10%
- Aging top 0.2%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 10%
- Plant Science
- Co-authors
- Alexey MoskalevEkaterina PlyusninaAlex ZhavoronkovEkaterina ProshkinaVadim E. FraifeldAnna V. KudryavtsevaArie BudovskyNadezhda Zemskaya
- Topics
- Genetics, Aging, and Longevity in Model Organisms (51 papers)Neurobiology and Insect Physiology Research (12 papers)Circadian rhythm and melatonin (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Mikhail Shaposhnikov
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 867
- Aging 712
- Physiology 415
- Cellular and Molecular Neuroscience 198
- Plant Science 169
Countries citing papers authored by Mikhail Shaposhnikov
This map shows the geographic impact of Mikhail Shaposhnikov'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 Mikhail Shaposhnikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail Shaposhnikov more than expected).
Fields of papers citing papers by Mikhail Shaposhnikov
This network shows the impact of papers produced by Mikhail Shaposhnikov. 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 Mikhail Shaposhnikov. The network helps show where Mikhail Shaposhnikov may publish in the future.
Co-authorship network of co-authors of Mikhail Shaposhnikov
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail Shaposhnikov. A scholar is included among the top collaborators of Mikhail Shaposhnikov 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 Mikhail Shaposhnikov. Mikhail Shaposhnikov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 30 | |
| 11 | 20 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 93 | |
| 15 | 12 | |
| 16 | 21 | |
| 17 | 11 | |
| 18 | 77 | |
| 19 | 23 | |
| 20 | 257 |
About Mikhail Shaposhnikov
Mikhail Shaposhnikov is a scholar working on Aging, Biochemistry and Endocrine and Autonomic Systems, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (51 papers), Neurobiology and Insect Physiology Research (12 papers) and Circadian rhythm and melatonin (8 papers). The work is most often cited by research in Aging (712 citations), Endocrine and Autonomic Systems (151 citations) and Geriatrics and Gerontology (84 citations). Mikhail Shaposhnikov has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include Alexey Moskalev, Ekaterina Plyusnina, Alex Zhavoronkov, Ekaterina Proshkina, Vadim E. Fraifeld, Anna V. Kudryavtseva, Arie Budovsky, Nadezhda Zemskaya, Hagai Yanai and Ilya Solovev. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.