Yael Leitner‐Dagan
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Co-authorship network of co-authors of Yael Leitner‐Dagan
This figure shows the co-authorship network connecting the top 25 collaborators of Yael Leitner‐Dagan. A scholar is included among the top collaborators of Yael Leitner‐Dagan 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 Yael Leitner‐Dagan. Yael Leitner‐Dagan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
Yael Leitner‐Dagan
13 papers receiving 919 citations
Fields of papers citing papers by Yael Leitner‐Dagan
This network shows the impact of papers produced by Yael Leitner‐Dagan. 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 Yael Leitner‐Dagan. The network helps show where Yael Leitner‐Dagan may publish in the future.
Countries citing papers authored by Yael Leitner‐Dagan
This map shows the geographic impact of Yael Leitner‐Dagan'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 Yael Leitner‐Dagan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Leitner‐Dagan more than expected).
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.