Khalid Sadki
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
Papers in
-
- Tuberculosis Research and Epidemiology 7
- Co-authors
- Rajae El Aouad (11 shared papers)Louis Flamand (1 shared paper)Younes Zaid (1 shared paper)Abdallah Naya (1 shared paper)Fadila Guessous (1 shared paper)A. Benouda (1 shared paper)Youness Limami (1 shared paper)Éric Boilard (1 shared paper)
In The Last Decade
Khalid Sadki
29 papers receiving 691 citations
Khalid Sadki's Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 419
- Internal Medicine 68
- Neurology 121
- Hematology 76
- Immunology 140
Countries citing papers authored by Khalid Sadki
This map shows the geographic impact of Khalid Sadki'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 Khalid Sadki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Sadki more than expected).
Fields of papers citing papers by Khalid Sadki
This network shows the impact of papers produced by Khalid Sadki. 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 Khalid Sadki. The network helps show where Khalid Sadki may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Sadki, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19 Hit paper breakdown → | 2020 | 355 |
| 2 | 2014 | 45 | |
| 3 | 2009 | 39 | |
| 4 | 2021 | 32 | |
| 5 | 2015 | 27 | |
| 6 | 2010 | 24 | |
| 7 | 2014 | 24 | |
| 8 | Evaluation of a multi-antigen test based on B-cell epitope peptides for the serodiagnosis of pulmonary tuberculosis. | 2009 | 21 |
| 9 | 2023 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2000 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2019 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2012 | 10 | |
| 16 | 2009 | 8 | |
| 17 | 2000 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2009 | 5 |
About Khalid Sadki
Khalid Sadki is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Surgery and Epidemiology, having authored 32 papers that have together received 705 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Mycobacterium research and diagnosis (3 papers), Mesenchymal stem cell research (2 papers), Diabetes and associated disorders (2 papers), Diagnosis and treatment of tuberculosis (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Infectious Diseases (419 citations), Internal Medicine (68 citations), Neurology (121 citations), Hematology (76 citations) and Immunology (140 citations). Khalid Sadki has collaborated with scholars based in Morocco, Canada and France. Frequent co-authors include Rajae El Aouad, Louis Flamand, Younes Zaid, Abdallah Naya, Fadila Guessous, A. Benouda, Youness Limami, Éric Boilard, Mounia Oudghiri and Marc‐André Langlois. Their work appears in journals such as BMC Infectious Diseases, BMC Medical Genomics, Nutrients, Circulation Research and Tuberculosis.
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.