Galia Kariv
About
In The Last Decade
Galia Kariv
7 papers receiving 728 citations
Peers
Comparison fields: 5 of 80
- Epidemiology 385
- Clinical Biochemistry 341
- Applied Microbiology and Biotechnology 248
- Infectious Diseases 170
- Molecular Medicine 143
Countries citing papers authored by Galia Kariv
This map shows the geographic impact of Galia Kariv'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 Galia Kariv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galia Kariv more than expected).
Fields of papers citing papers by Galia Kariv
This network shows the impact of papers produced by Galia Kariv. 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 Galia Kariv. The network helps show where Galia Kariv may publish in the future.
Co-authorship network of co-authors of Galia Kariv
This figure shows the co-authorship network connecting the top 25 collaborators of Galia Kariv. A scholar is included among the top collaborators of Galia Kariv 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 Galia Kariv. Galia Kariv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 17 | |
| 3 | 10 | |
| 4 | 169 | |
| 5 | 470 | |
| 6 | 49 | |
| 7 | 2 |
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.