Nesanet Mitiku
About
In The Last Decade
Nesanet Mitiku
7 papers receiving 386 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 356
- Oncology 153
- Cell Biology 105
- Cancer Research 66
- Genetics 39
Countries citing papers authored by Nesanet Mitiku
This map shows the geographic impact of Nesanet Mitiku'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 Nesanet Mitiku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nesanet Mitiku more than expected).
Fields of papers citing papers by Nesanet Mitiku
This network shows the impact of papers produced by Nesanet Mitiku. 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 Nesanet Mitiku. The network helps show where Nesanet Mitiku may publish in the future.
Co-authorship network of co-authors of Nesanet Mitiku
This figure shows the co-authorship network connecting the top 25 collaborators of Nesanet Mitiku. A scholar is included among the top collaborators of Nesanet Mitiku 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 Nesanet Mitiku. Nesanet Mitiku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 28 | |
| 4 | 62 | |
| 5 | 57 | |
| 6 | 16 | |
| 7 | 222 |
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.