Abderrahman Hachani

3.9k citations
41 papers · 2.7k indexed · 1 hit paper · h-index 23

Abderrahman Hachani

39 papers receiving 2.7k citations

Hit Papers

Staphylococcus aureus host interactions and adaptation3732023202620242025100200300

Peers

Abderrahman Hachani
Comparison fields: 5 of 113
  • Endocrinology 1.3k
  • Molecular Medicine 603
  • Microbiology 150
  • Infectious Diseases 399
  • Genetics 558
Replace Swaine L. Chen with:
Swaine L. Chen Singapore
Rita Tamayo United States
Elżbieta Brzuszkiewicz Germany
Anna D. Tischler United States
C. Virginia Lockatell United States
Christopher J. Alteri United States
J. Häcker Germany
Ina Attrée France
Cristiano G. Moreira Brazil
Andreas Roggenkamp Germany
Abderrahman Hachani relative to Swaine L. Chen Singapore Swaine L. Chen's profile →
Citations per field
00.5×1.5×
Swaine L. Chen · 1×
Citations per year

Countries citing papers authored by Abderrahman Hachani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Abderrahman Hachani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abderrahman Hachani Line = papers co-authored together Abderrahman Hachani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 20250
3 20232
4
Staphylococcus aureus host interactions and adaptationbreakdown →
2023373
5 202315
6 202222
7 202229
8 20224
9 202155
10 202114
11 201916
12 201967
13 201938
14 2015212
15 2014256
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)
20132
17 201337
18 2012158
19 2010118
20 200745

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), Bacterial biofilms and quorum sensing (11 papers), Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Bacterial Genetics and Biotechnology (7 papers), Salmonella and Campylobacter epidemiology (4 papers) and SARS-CoV-2 and COVID-19 Research (3 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.

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