Khadir Raddassi

5.4k citations
49 papers · 3.6k indexed · 1 hit paper · h-index 26

Impact in

Papers in

    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 11
    • Immunotherapy and Immune Responses 7
    • Cell Image Analysis Techniques 5

Khadir Raddassi

47 papers receiving 3.6k citations

Hit Papers

Directed migration of neural stem cells to sites of CNS injury by the stromal cell-derived factor 1α/CXC chemokine receptor 4 pathway 2004 · 880 citations
8802004202620112018250500750

Peers

Khadir Raddassi
Comparison fields: 5 of 126
  • Developmental Neuroscience 739
  • Neurology 685
  • Immunology 1.4k
  • Genetics 449
  • Biological Psychiatry 63
Replace Rosetta Pedotti with:
Rosetta Pedotti Italy
Masafumi Onodera Japan
Christian Bernreuther Germany
Pietro Luigi Poliani Italy
Ursula Malipiero Switzerland
Bogoljub Ćirić United States
Markus Krumbholz Germany
Norbert Goebels Germany
Piet Stinissen Belgium
Danielle Dionne United States
Khadir Raddassi relative to Rosetta Pedotti Italy Rosetta Pedotti's profile →
Citations per field
00.5×2.7×
Rosetta Pedotti · 1×
Citations per year

Countries citing papers authored by Khadir Raddassi

Since Specialization
Citations

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

Fields of papers citing papers by Khadir Raddassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khadir Raddassi. 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 Khadir Raddassi. The network helps show where Khadir Raddassi may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20236
4 202116
5 202078
6 202045
7 201942
8 201625
9
Functional inflammatory profiles distinguish myelin-reactive T cells from patients with multiple sclerosis
201515
10 201428
11 201223
12 2012285
13 200870
14 200854
15 2007124
16 199718
17 199470
18 199345
19 19915
20 199124

About Khadir Raddassi

Khadir Raddassi is a scholar working on Immunology, Biophysics, Neurology, Biochemistry and Genetics, having authored 49 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (11 papers), Immunotherapy and Immune Responses (7 papers), Single-cell and spatial transcriptomics (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Cell Image Analysis Techniques (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Developmental Neuroscience (739 citations), Neurology (685 citations), Immunology (1.4k citations), Genetics (449 citations) and Biological Psychiatry (63 citations). Khadir Raddassi has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Samia J. Khoury, David A. Hafler, Jaime Imitola, Richard L. Sidman, Marta Nieto, Christopher A. Walsh, Yang D. Teng, Jianxue Li, Kook In Park and Dan Frenkel. Their work appears in journals such as Journal of Clinical Investigation, Cellular Immunology, Clinical Immunology, The Journal of Immunology and American Journal Of Pathology.

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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2026