Karima Chaoui
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 2
- RNA Interference and Gene Delivery 2
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Co-authors
- Odile Burlet‐Schiltz (17 shared papers)Anne Gonzalez de Peredo (10 shared papers)Bernard Monsarrat (8 shared papers)Stéphanie Balor (2 shared papers)Elsa Ronzier (1 shared paper)Laurence Salomé (1 shared paper)Etienne Joly (1 shared paper)Véronique Roques (1 shared paper)
- Journals
- Journal of Proteomics (2 papers)PROTEOMICS (2 papers)Science Signaling (2 papers)Clinical Cancer Research (1 paper)Cell Reports (1 paper)
- Partner nations
- FranceUnited StatesBelgium
In The Last Decade
Karima Chaoui
22 papers receiving 789 citations
Peers
Comparison fields: 5 of 90
- Immunology 178
- Cancer Research 92
- Spectroscopy 109
- Molecular Biology 402
- Infectious Diseases 77
Countries citing papers authored by Karima Chaoui
This map shows the geographic impact of Karima Chaoui'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 Karima Chaoui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karima Chaoui more than expected).
Fields of papers citing papers by Karima Chaoui
This network shows the impact of papers produced by Karima Chaoui. 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 Karima Chaoui. The network helps show where Karima Chaoui may publish in the future.
Co-authors
The 25 scholars most cited alongside Karima Chaoui, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 158 | |
| 2 | 2020 | 88 | |
| 3 | 2010 | 72 | |
| 4 | 2019 | 65 | |
| 5 | 2015 | 62 | |
| 6 | 2009 | 47 | |
| 7 | 2020 | 41 | |
| 8 | 2016 | 38 | |
| 9 | 2018 | 34 | |
| 10 | 2022 | 34 | |
| 11 | 2015 | 29 | |
| 12 | 2010 | 21 | |
| 13 | 2011 | 16 | |
| 14 | 2006 | 16 | |
| 15 | 2017 | 15 | |
| 16 | 2014 | 15 | |
| 17 | 2015 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2020 | 7 |
About Karima Chaoui
Karima Chaoui is a scholar working on Molecular Biology, Immunology, Spectroscopy, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 796 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Immune Cell Function and Interaction (4 papers), Ubiquitin and proteasome pathways (2 papers), RNA Interference and Gene Delivery (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Tuberculosis Research and Epidemiology (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Immunology (178 citations), Cancer Research (92 citations), Spectroscopy (109 citations), Molecular Biology (402 citations) and Infectious Diseases (77 citations). Karima Chaoui has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Odile Burlet‐Schiltz, Anne Gonzalez de Peredo, Bernard Monsarrat, Stéphanie Balor, Elsa Ronzier, Laurence Salomé, Etienne Joly, Véronique Roques, Ikrame Lazar and Justine Bertrand‐Michel. Their work appears in journals such as Journal of Proteomics, PROTEOMICS, Science Signaling, Clinical Cancer Research and Cell Reports.
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.