Maya Aleshnick
About
In The Last Decade
Maya Aleshnick
10 papers receiving 184 citations
Peers
Comparison fields: 5 of 48
- Public Health, Environmental and Occupational Health 82
- Infectious Diseases 59
- Immunology 58
- Molecular Biology 47
- Epidemiology 28
Countries citing papers authored by Maya Aleshnick
This map shows the geographic impact of Maya Aleshnick'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 Maya Aleshnick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Aleshnick more than expected).
Fields of papers citing papers by Maya Aleshnick
This network shows the impact of papers produced by Maya Aleshnick. 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 Maya Aleshnick. The network helps show where Maya Aleshnick may publish in the future.
Co-authorship network of co-authors of Maya Aleshnick
This figure shows the co-authorship network connecting the top 25 collaborators of Maya Aleshnick. A scholar is included among the top collaborators of Maya Aleshnick 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 Maya Aleshnick. Maya Aleshnick 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 | 12 | |
| 3 | 21 | |
| 4 | 44 | |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 34 | |
| 8 | 20 | |
| 9 | 12 | |
| 10 | 12 | |
| 11 | 17 |
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.