Hagit Mishali
About
In The Last Decade
Hagit Mishali
7 papers receiving 333 citations
Peers
Comparison fields: 5 of 37
- Molecular Medicine 275
- Epidemiology 133
- Applied Microbiology and Biotechnology 117
- Endocrinology 90
- Pharmacology 73
Countries citing papers authored by Hagit Mishali
This map shows the geographic impact of Hagit Mishali'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 Hagit Mishali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hagit Mishali more than expected).
Fields of papers citing papers by Hagit Mishali
This network shows the impact of papers produced by Hagit Mishali. 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 Hagit Mishali. The network helps show where Hagit Mishali may publish in the future.
Co-authorship network of co-authors of Hagit Mishali
This figure shows the co-authorship network connecting the top 25 collaborators of Hagit Mishali. A scholar is included among the top collaborators of Hagit Mishali 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 Hagit Mishali. Hagit Mishali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 12 | |
| 3 | 52 | |
| 4 | 32 | |
| 5 | 139 | |
| 6 | 9 | |
| 7 | 81 |
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.