Kamel Ait‐Tahar

565 citations
13 papers · 388 · h-index 11

Impact in

Papers in

Kamel Ait‐Tahar

12 papers receiving 372 citations

Peers

Kamel Ait‐Tahar
Comparison fields: 5 of 32
  • Microbiology 124
  • Pathology and Forensic Medicine 133
  • Immunology 142
  • Oncology 88
  • Neurology 42
Replace Yukitsugu Nakamura with:
Yukitsugu Nakamura Japan
Anders Waage Norway
Evgeni P. Tzvetkov United States
Joost C. van Galen Netherlands
Brittany M. Ashlock United States
Barbara C. Rütgen Austria
Alice Gallagher United Kingdom
Victor Bakels Netherlands
Paul R. Avery United States
Alma‐Martina Cepika United States
Kamel Ait‐Tahar relative to Yukitsugu Nakamura Japan Yukitsugu Nakamura's profile →
Citations per field
00.5×5.1×
Yukitsugu Nakamura · 1×
Citations per year

Countries citing papers authored by Kamel Ait‐Tahar

Since Specialization
Citations

This map shows the geographic impact of Kamel Ait‐Tahar'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 Kamel Ait‐Tahar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kamel Ait‐Tahar more than expected).

Fields of papers citing papers by Kamel Ait‐Tahar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kamel Ait‐Tahar. 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 Kamel Ait‐Tahar. The network helps show where Kamel Ait‐Tahar may publish in the future.

Co-authors

The 25 scholars most cited alongside Kamel Ait‐Tahar, 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 Kamel Ait‐Tahar Line = papers co-authored together Kamel Ait‐Tahar links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201086
2 200076
3 200551
4 200734
5 199930
6 200029
7 200925
8 201719
9 201013
10 201012
11 200711
12 20172
13 20050

About Kamel Ait‐Tahar

Kamel Ait‐Tahar is a scholar working on Immunology, Pathology and Forensic Medicine, Epidemiology, Microbiology and Molecular Biology, having authored 13 papers that have together received 388 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Immune Cell Function and Interaction (6 papers), Bacterial Infections and Vaccines (3 papers), Pneumonia and Respiratory Infections (2 papers), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Microbiology (124 citations), Pathology and Forensic Medicine (133 citations), Immunology (142 citations), Oncology (88 citations) and Neurology (42 citations). Kamel Ait‐Tahar has collaborated with scholars based in United Kingdom, Germany and Malaysia. Frequent co-authors include Dlawer A. A. Ala’Aldeen, Karen Pulford, Karen Pulford, Martin Barnardo, Martin Zimmermann, Alfred Reiter, Birgit Burkhardt, Wilhelm Woessmann, Wolfgang Hiddemann and Christine Damm‐Welk. Their work appears in journals such as Blood, Haematologica, Journal of Clinical Microbiology, Molecular Microbiology and Pediatric Blood & Cancer.

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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