Alexei Mikhailov
- Molecular Biology top 10%
- Cell Biology top 2%
- Immunology and Allergy top 2%
- Oncology
- Biomedical Engineering
- Co-authors
- Conly L. RiederGregg G. GundersenRichard W. ColeLubomir B. SmilenovRobert J. PelhamEugene E. MarcantonioZahra MamdouhWilliam A. Müller
- Topics
- Microtubule and mitosis dynamics (9 papers)DNA Repair Mechanisms (5 papers)Cellular Mechanics and Interactions (5 papers)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Alexei Mikhailov
24 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 859
- Cell Biology 749
- Immunology and Allergy 229
- Oncology 211
- Biomedical Engineering 105
Countries citing papers authored by Alexei Mikhailov
This map shows the geographic impact of Alexei Mikhailov'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 Alexei Mikhailov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei Mikhailov more than expected).
Fields of papers citing papers by Alexei Mikhailov
This network shows the impact of papers produced by Alexei Mikhailov. 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 Alexei Mikhailov. The network helps show where Alexei Mikhailov may publish in the future.
Co-authorship network of co-authors of Alexei Mikhailov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei Mikhailov. A scholar is included among the top collaborators of Alexei Mikhailov 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 Alexei Mikhailov. Alexei Mikhailov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | Abstract 10275: The Role and Mechanism of Chronic Ca2+/Calmodulin-Dependent Protein Kinase II Inhibition in a Mouse Model of Diabetic Cardiomyopathy | 1 |
| 4 | Clear cell papillary renal cell carcinoma in a transplant kidney. | 1 |
| 5 | 11 | |
| 6 | 34 | |
| 7 | 0 | |
| 8 | 40 | |
| 9 | 16 | |
| 10 | 28 | |
| 11 | 118 | |
| 12 | 78 | |
| 13 | 53 | |
| 14 | 30 | |
| 15 | 114 | |
| 16 | 177 | |
| 17 | 39 | |
| 18 | 0 | |
| 19 | 288 | |
| 20 | 87 |
About Alexei Mikhailov
Alexei Mikhailov is a scholar working on Cell Biology, Nephrology and Transplantation, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (9 papers), DNA Repair Mechanisms (5 papers) and Cellular Mechanics and Interactions (5 papers). The work is most often cited by research in Cell Biology (749 citations), Immunology and Allergy (229 citations) and Molecular Biology (859 citations). Alexei Mikhailov has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Conly L. Rieder, Gregg G. Gundersen, Richard W. Cole, Lubomir B. Smilenov, Robert J. Pelham, Eugene E. Marcantonio, Zahra Mamdouh, William A. Müller, Joseph Avruch and Christopher Belham. Their work appears in journals such as Science, Circulation and The Journal of Experimental Medicine.
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.