Kamel Jabbari
Impact in
- Molecular Biology top 10%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Biomaterials top 10%
- Diatoms and Algae Research
Papers in
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- Genomics and Phylogenetic Studies 19
- RNA and protein synthesis mechanisms 19
- Genomics and Chromatin Dynamics 6
- RNA Research and Splicing 6
- Machine Learning in Bioinformatics 5
- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 3
-
- Chromosomal and Genetic Variations 9
- Co-authors
- Giorgio Bernardi (23 shared papers)Chris Bowler (5 shared papers)Uma Maheswari (4 shared papers)Florian Maumus (2 shared papers)Edda Rayko (3 shared papers)Anton Montsant (1 shared paper)J Desgrès (2 shared papers)Simone M. Cacciò (2 shared papers)
In The Last Decade
Kamel Jabbari
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.0k
- Biomaterials 139
- Oceanography 114
- Plant Science 312
- Ecology 205
Countries citing papers authored by Kamel Jabbari
This map shows the geographic impact of Kamel Jabbari'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 Kamel Jabbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel Jabbari more than expected).
Fields of papers citing papers by Kamel Jabbari
This network shows the impact of papers produced by Kamel Jabbari. 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 Kamel Jabbari. The network helps show where Kamel Jabbari may publish in the future.
Co-authors
The 25 scholars most cited alongside Kamel Jabbari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 187 | |
| 2 | 2005 | 99 | |
| 3 | 1997 | 94 | |
| 4 | 2010 | 93 | |
| 5 | 2009 | 92 | |
| 6 | 2001 | 91 | |
| 7 | 1998 | 86 | |
| 8 | 2010 | 76 | |
| 9 | 1998 | 57 | |
| 10 | 1999 | 55 | |
| 11 | 2017 | 37 | |
| 12 | 1999 | 32 | |
| 13 | 1997 | 24 | |
| 14 | 1999 | 23 | |
| 15 | 2000 | 23 | |
| 16 | 2015 | 22 | |
| 17 | 2021 | 22 | |
| 18 | 2019 | 19 | |
| 19 | 2004 | 16 | |
| 20 | 1999 | 16 |
About Kamel Jabbari
Kamel Jabbari is a scholar working on Molecular Biology, Plant Science, Ecology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (19 papers), Chromosomal and Genetic Variations (9 papers), Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (6 papers), Machine Learning in Bioinformatics (5 papers), RNA modifications and cancer (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Biomaterials (139 citations), Oceanography (114 citations), Plant Science (312 citations) and Ecology (205 citations). Kamel Jabbari has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Giorgio Bernardi, Chris Bowler, Uma Maheswari, Florian Maumus, Edda Rayko, Anton Montsant, J Desgrès, Simone M. Cacciò, Stéphane Cruveiller and Jean-Paul Paı̈s de Barros. Their work appears in journals such as Gene, Journal of Molecular Evolution, PLoS ONE, New Phytologist and Genome 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.