Alexei A. Sharov
- Molecular Biology top 1%
- Public Health, Environmental and Occupational Health top 2%
- Genetics top 2%
- Ecology top 2%
- Insect Science top 1%
- Co-authors
- Minoru S.H. KoAndrew M. LiebholdMark G. CarterToshio HamataniDawood B. DudekulaRyo MatobaHitoshi NiwaShinji Masui
- Topics
- Pluripotent Stem Cells Research (28 papers)CRISPR and Genetic Engineering (19 papers)Origins and Evolution of Life (18 papers)
- Cited by
- AgingMolecular BiologyInsect Science
- Partner nations
- United StatesJapanEstonia
In The Last Decade
Alexei A. Sharov
125 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 4.7k
- Public Health, Environmental and Occupational Health 978
- Genetics 977
- Ecology 778
- Insect Science 575
Countries citing papers authored by Alexei A. Sharov
This map shows the geographic impact of Alexei A. Sharov'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 A. Sharov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexei A. Sharov more than expected).
Fields of papers citing papers by Alexei A. Sharov
This network shows the impact of papers produced by Alexei A. Sharov. 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 A. Sharov. The network helps show where Alexei A. Sharov may publish in the future.
Co-authorship network of co-authors of Alexei A. Sharov
This figure shows the co-authorship network connecting the top 25 collaborators of Alexei A. Sharov. A scholar is included among the top collaborators of Alexei A. Sharov 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 A. Sharov. Alexei A. Sharov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Levels of Interpretation of Signs | 0 |
| 3 | 13 | |
| 4 | 197 | |
| 5 | 38 | |
| 6 | Genetic Gradualism and the ExtraTerrestrial Origin of Life | 8 |
| 7 | 194 | |
| 8 | Exponential Increase of Genetic Complexity Supports Extra-Terrestrial Origin of Life | 1 |
| 9 | 86 | |
| 10 | 105 | |
| 11 | 25 | |
| 12 | 104 | |
| 13 | 47 | |
| 14 | 101 | |
| 15 | 209 | |
| 16 | 11 | |
| 17 | 65 | |
| 18 | 18 | |
| 19 | 21 | |
| 20 | The parasite complex of the fall webworm Hyphantria cunea Drury (Lepidoptera, Arctiidae) in the European part of the USSR | 1 |
About Alexei A. Sharov
Alexei A. Sharov is a scholar working on Insect Science, Astronomy and Astrophysics and Ecological Modeling, having authored 128 papers that have together received 7.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (28 papers), CRISPR and Genetic Engineering (19 papers) and Origins and Evolution of Life (18 papers). The work is most often cited by research in Aging (150 citations), Molecular Biology (4.7k citations) and Insect Science (575 citations). Alexei A. Sharov has collaborated with scholars based in United States, Japan and Estonia. Frequent co-authors include Minoru S.H. Ko, Andrew M. Liebhold, Mark G. Carter, Toshio Hamatani, Dawood B. Dudekula, Ryo Matoba, Hitoshi Niwa, Shinji Masui, Yulan Piao and Joshua M. Brickman. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.