Kamel Jabbari
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- 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 22
- RNA and protein synthesis mechanisms 21
- Machine Learning in Bioinformatics 7
- RNA Research and Splicing 6
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 4
- Protein Structure and Dynamics 3
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- Chromosomal and Genetic Variations 11
- Co-authors
- Giorgio Bernardi (25 shared papers)Chris Bowler (5 shared papers)Uma Maheswari (4 shared papers)Héctor Musto (3 shared papers)Fernando Álvarez-Valín (5 shared papers)Giuseppe D’Onofrio (4 shared papers)Florian Maumus (2 shared papers)Anton Montsant (1 shared paper)
In The Last Decade
Kamel Jabbari
40 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.2k
- Biomaterials 145
- Oceanography 120
- Plant Science 359
- Genetics 237
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 198 | |
| 2 | 2005 | 112 | |
| 3 | 2010 | 103 | |
| 4 | 2009 | 102 | |
| 5 | 1997 | 98 | |
| 6 | 2001 | 93 | |
| 7 | 1998 | 87 | |
| 8 | 2010 | 80 | |
| 9 | 1999 | 77 | |
| 10 | 1998 | 59 | |
| 11 | 1999 | 55 | |
| 12 | 2000 | 44 | |
| 13 | 1998 | 44 | |
| 14 | 2017 | 39 | |
| 15 | 1999 | 32 | |
| 16 | 2004 | 30 | |
| 17 | 2000 | 27 | |
| 18 | 1997 | 24 | |
| 19 | 1999 | 23 | |
| 20 | 2015 | 23 |
About Kamel Jabbari
Kamel Jabbari is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology and Ecology, Evolution, Behavior and Systematics, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), RNA and protein synthesis mechanisms (21 papers), Chromosomal and Genetic Variations (11 papers), Machine Learning in Bioinformatics (7 papers), RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Biomaterials (145 citations), Oceanography (120 citations), Plant Science (359 citations) and Genetics (237 citations). Kamel Jabbari has collaborated with scholars based in France, Italy and Germany. Frequent co-authors include Giorgio Bernardi, Chris Bowler, Uma Maheswari, Héctor Musto, Fernando Álvarez-Valín, Giuseppe D’Onofrio, Florian Maumus, Anton Montsant, Edda Rayko and Simone M. Cacciò. Their work appears in journals such as Gene, Journal of Molecular Evolution, PLoS ONE, Genome biology and Trends in Plant Science.
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.