Golan Yona
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Materials Chemistry
- Signal Processing top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Michael LevittGill BejeranoMichal LinialNathan LinialNiranjan NagarajanUmar SyedNaftali TishbyTsachy Weissman
- Topics
- Machine Learning in Bioinformatics (17 papers)Genomics and Phylogenetic Studies (15 papers)Bioinformatics and Genomic Networks (14 papers)
- Partner nations
- United StatesIsraelAustralia
In The Last Decade
Golan Yona
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 924
- Artificial Intelligence 275
- Materials Chemistry 161
- Signal Processing 81
- Computer Networks and Communications 70
Countries citing papers authored by Golan Yona
This map shows the geographic impact of Golan Yona'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 Golan Yona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Golan Yona more than expected).
Fields of papers citing papers by Golan Yona
This network shows the impact of papers produced by Golan Yona. 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 Golan Yona. The network helps show where Golan Yona may publish in the future.
Co-authorship network of co-authors of Golan Yona
This figure shows the co-authorship network connecting the top 25 collaborators of Golan Yona. A scholar is included among the top collaborators of Golan Yona 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 Golan Yona. Golan Yona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 8 | |
| 3 | 27 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 64 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces | 23 |
| 15 | 12 | |
| 16 | 220 | |
| 17 | 19 | |
| 18 | 104 | |
| 19 | 33 | |
| 20 | 117 |
About Golan Yona
Golan Yona is a scholar working on Molecular Biology, Artificial Intelligence and Sensory Systems, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (17 papers), Genomics and Phylogenetic Studies (15 papers) and Bioinformatics and Genomic Networks (14 papers). The work is most often cited by research in Molecular Biology (924 citations), Artificial Intelligence (275 citations) and Signal Processing (81 citations). Golan Yona has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Michael Levitt, Gill Bejerano, Michal Linial, Nathan Linial, Niranjan Nagarajan, Umar Syed, Naftali Tishby, Tsachy Weissman, Michael C. Quist and David Lin. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Journal of Molecular Biology.
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.