Malika Trad
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
- Immunology 10
- Immunotherapy and Immune Responses 7
- Immune Cell Function and Interaction 5
- Immune cells in cancer 5
- T-cell and B-cell Immunology 3
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- Blood groups and transfusion 3
- Platelet Disorders and Treatments 3
- Acute Myeloid Leukemia Research 1
- Co-authors
- Bernard Bonnotte (14 shared papers)Nona Janikashvili (11 shared papers)Emmanuel Katsanis (8 shared papers)Nicolas Larmonier (8 shared papers)Claire B. Larmonier (5 shared papers)Darya Alizadeh (4 shared papers)Neale T. Hanke (3 shared papers)Sylvain Audia (9 shared papers)
- Journals
- Blood (3 papers)The Journal of Immunology (2 papers)Journal of Leukocyte Biology (1 paper)Experimental Hematology (1 paper)BioMed Research International (1 paper)
- Partner nations
- FranceUnited StatesDemocratic Republic of the Congo
In The Last Decade
Malika Trad
15 papers receiving 948 citations
Peers
Comparison fields: 5 of 71
- Immunology 580
- Hematology 126
- Oncology 283
- Rheumatology 103
- Pathology and Forensic Medicine 58
Countries citing papers authored by Malika Trad
This map shows the geographic impact of Malika Trad'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 Malika Trad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malika Trad more than expected).
Fields of papers citing papers by Malika Trad
This network shows the impact of papers produced by Malika Trad. 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 Malika Trad. The network helps show where Malika Trad may publish in the future.
Co-authors
The 25 scholars most cited alongside Malika Trad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 351 | |
| 2 | 2012 | 270 | |
| 3 | 2011 | 84 | |
| 4 | 2012 | 65 | |
| 5 | 2010 | 60 | |
| 6 | 2016 | 36 | |
| 7 | 2011 | 22 | |
| 8 | 2015 | 19 | |
| 9 | 2010 | 18 | |
| 10 | 2016 | 14 | |
| 11 | 2018 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2012 | 2 | |
| 15 | 2010 | 1 |
About Malika Trad
Malika Trad is a scholar working on Immunology, Hematology, Genetics, Oncology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 958 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (5 papers), Immune cells in cancer (5 papers), T-cell and B-cell Immunology (3 papers), Blood groups and transfusion (3 papers), Platelet Disorders and Treatments (3 papers), Acute Myeloid Leukemia Research (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Immunology (580 citations), Hematology (126 citations), Oncology (283 citations), Rheumatology (103 citations) and Pathology and Forensic Medicine (58 citations). Malika Trad has collaborated with scholars based in France, United States and Democratic Republic of the Congo. Frequent co-authors include Bernard Bonnotte, Nona Janikashvili, Emmanuel Katsanis, Nicolas Larmonier, Claire B. Larmonier, Darya Alizadeh, Neale T. Hanke, Sylvain Audia, Jennifer Fraszczak and Marion Ciudad. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Leukocyte Biology, Experimental Hematology and BioMed Research International.
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.