Gil Ben‐Menachem
- Immunology top 5%
- Molecular Biology
- Parasitology top 5%
- Microbiology top 5%
- Epidemiology
- Co-authors
- Joanna Kübler-KiełbRachel SchneersonMohammed Rafii‐El‐Idrissi BenhniaRaquel García‐NavarroTimothy J. SellatiChi‐Huey WongSamuel M. BeharEmmanuel Tupin
- Topics
- Microbial infections and disease research (7 papers)Toxoplasma gondii Research Studies (3 papers)Aquaculture disease management and microbiota (2 papers)
- Cited by
- ImmunologyParasitologyMicrobiology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Immunology
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Gil Ben‐Menachem
13 papers receiving 837 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 565
- Molecular Biology 167
- Parasitology 146
- Microbiology 138
- Epidemiology 106
Countries citing papers authored by Gil Ben‐Menachem
This map shows the geographic impact of Gil Ben‐Menachem'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 Gil Ben‐Menachem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gil Ben‐Menachem more than expected).
Fields of papers citing papers by Gil Ben‐Menachem
This network shows the impact of papers produced by Gil Ben‐Menachem. 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 Gil Ben‐Menachem. The network helps show where Gil Ben‐Menachem may publish in the future.
Co-authorship network of co-authors of Gil Ben‐Menachem
This figure shows the co-authorship network connecting the top 25 collaborators of Gil Ben‐Menachem. A scholar is included among the top collaborators of Gil Ben‐Menachem 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 Gil Ben‐Menachem. Gil Ben‐Menachem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 22 | |
| 3 | 4 | |
| 4 | Natural killer T cells recognize diacylglycerol antigens from pathogenic bacteriabreakdown → | 496 |
| 5 | 51 | |
| 6 | 6 | |
| 7 | 122 | |
| 8 | 13 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 21 | |
| 12 | 42 | |
| 13 | 30 |
About Gil Ben‐Menachem
Gil Ben‐Menachem is a scholar working on Microbiology, Parasitology and Immunology, having authored 13 papers that have together received 848 indexed citations. Recurring topics across this work include Microbial infections and disease research (7 papers), Toxoplasma gondii Research Studies (3 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Immunology (565 citations), Parasitology (146 citations) and Microbiology (138 citations). Gil Ben‐Menachem has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Joanna Kübler-Kiełb, Rachel Schneerson, Mohammed Rafii‐El‐Idrissi Benhnia, Raquel García‐Navarro, Timothy J. Sellati, Chi‐Huey Wong, Samuel M. Behar, Emmanuel Tupin, Dirk M. Zajonc and Ian A. Wilson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Immunology.
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.