Guy Sagi
Impact in
- Plant Science top 10%
- Plant Virus Research Studies
- Plant nutrient uptake and metabolism
- Legume Nitrogen Fixing Symbiosis
- Plant Molecular Biology Research
- Plant Disease Resistance and Genetics
- Plant-Microbe Interactions and Immunity
- Polysaccharides and Plant Cell Walls
Papers in
-
- Bayesian Modeling and Causal Inference 2
- Advanced Graph Neural Networks 2
- Cognitive Science and Mapping 1
-
- Plant Virus Research Studies 2
- Plant Disease Resistance and Genetics 1
- Co-authors
- Bernard L. Epel (3 shared papers)Aviva Katz (1 shared paper)Amit Levy (1 shared paper)Michael Elbaum (1 shared paper)Abed Gera (1 shared paper)Raul Zavaliev (1 shared paper)Tirza Routtenberg (3 shared papers)Nir Shlezinger (2 shared papers)
- Journals
- IEEE Transactions on Signal Processing (2 papers)Journal of Experimental Botany (1 paper)Molecular Plant-Microbe Interactions (1 paper)The Plant Cell (1 paper)Journal of Antitrust Enforcement (1 paper)
- Partner nations
- IsraelUnited States
In The Last Decade
Guy Sagi
8 papers receiving 333 citations
Peers
Comparison fields: 5 of 57
- Plant Science 275
- Horticulture 5
- Endocrinology 15
- Biotechnology 17
- Structural Biology 2
Countries citing papers authored by Guy Sagi
This map shows the geographic impact of Guy Sagi'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 Guy Sagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Sagi more than expected).
Fields of papers citing papers by Guy Sagi
This network shows the impact of papers produced by Guy Sagi. 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 Guy Sagi. The network helps show where Guy Sagi may publish in the future.
Co-authors
The 9 scholars most cited alongside Guy Sagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 123 | |
| 2 | 2005 | 117 | |
| 3 | 2009 | 65 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 7 | |
| 7 | A Comprehensive Economic and Legal Analysis of Tying Arrangements | 2014 | 2 |
| 8 | 2016 | 1 |
About Guy Sagi
Guy Sagi is a scholar working on Artificial Intelligence, Plant Science, Biotechnology, Strategy and Management and Computer Networks and Communications, having authored 8 papers that have together received 337 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (2 papers), Plant Virus Research Studies (2 papers), Advanced Graph Neural Networks (2 papers), Merger and Competition Analysis (1 paper), Cognitive Science and Mapping (1 paper), Law, Economics, and Judicial Systems (1 paper), Plant Disease Resistance and Genetics (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Plant Science (275 citations), Horticulture (5 citations), Endocrinology (15 citations), Biotechnology (17 citations) and Structural Biology (2 citations). Guy Sagi has collaborated with scholars based in Israel and United States. Frequent co-authors include Bernard L. Epel, Aviva Katz, Amit Levy, Michael Elbaum, Abed Gera, Raul Zavaliev, Tirza Routtenberg, Nir Shlezinger and David Gilo. Their work appears in journals such as IEEE Transactions on Signal Processing, Journal of Experimental Botany, Molecular Plant-Microbe Interactions, The Plant Cell and Journal of Antitrust Enforcement.
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.