Abderrahman Hachani
- Molecular Biology top 10%
- Endocrinology top 0.2%
- Molecular Medicine top 0.5%
- Genetics top 5%
- Infectious Diseases top 5%
- Co-authors
- Alain FillouxSophie BlevesThomas E. WoodTimothy P. StinearLay-Sun MaErh‐Min LaiJer-Sheng LinBenjamin P. Howden
- Topics
- Vibrio bacteria research studies (22 papers)Escherichia coli research studies (13 papers)Bacterial biofilms and quorum sensing (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- AustraliaUnited KingdomFrance
In The Last Decade
Abderrahman Hachani
39 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.3k
- Endocrinology 1.3k
- Molecular Medicine 603
- Genetics 558
- Infectious Diseases 399
Countries citing papers authored by Abderrahman Hachani
This map shows the geographic impact of Abderrahman Hachani'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 Abderrahman Hachani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abderrahman Hachani more than expected).
Fields of papers citing papers by Abderrahman Hachani
This network shows the impact of papers produced by Abderrahman Hachani. 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 Abderrahman Hachani. The network helps show where Abderrahman Hachani may publish in the future.
Co-authorship network of co-authors of Abderrahman Hachani
This figure shows the co-authorship network connecting the top 25 collaborators of Abderrahman Hachani. A scholar is included among the top collaborators of Abderrahman Hachani 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 Abderrahman Hachani. Abderrahman Hachani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | Staphylococcus aureus host interactions and adaptationbreakdown → | 373 |
| 5 | 15 | |
| 6 | 22 | |
| 7 | 29 | |
| 8 | 4 | |
| 9 | 55 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 67 | |
| 13 | 38 | |
| 14 | 212 | |
| 15 | 256 | |
| 16 | The p110 delta isoform of the kinase PI(3)K controls the subcellular compartmentalization of TLR4 signaling and protects from endotoxic shock (vol 13, pg 1045, 2012) | 2 |
| 17 | 37 | |
| 18 | 158 | |
| 19 | 118 | |
| 20 | 45 |
About Abderrahman Hachani
Abderrahman Hachani is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 41 papers that have together received 2.7k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (22 papers), Escherichia coli research studies (13 papers) and Bacterial biofilms and quorum sensing (11 papers). The work is most often cited by research in Endocrinology (1.3k citations), Molecular Medicine (603 citations) and Microbiology (150 citations). Abderrahman Hachani has collaborated with scholars based in Australia, United Kingdom and France. Frequent co-authors include Alain Filloux, Sophie Bleves, Thomas E. Wood, Timothy P. Stinear, Lay-Sun Ma, Erh‐Min Lai, Jer-Sheng Lin, Benjamin P. Howden, Stefano Giulieri and Ian R. Monk. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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.