Ikbel Achour

1.3k total citations
30 papers, 601 citations indexed

About

Ikbel Achour is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Ikbel Achour has authored 30 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Immunology. Recurrent topics in Ikbel Achour's work include Bioinformatics and Genomic Networks (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ikbel Achour is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Ikbel Achour collaborates with scholars based in United States, France and Spain. Ikbel Achour's co-authors include François Rougeon, Pierre Lafaye, Yves A. Lussier, Vincent Gardeux, Charles Duyckaerts, Haiquan Li, Patrick England, Robert Wuerffel, Amy Kenter and Christiane Bouchier and has published in prestigious journals such as Journal of Clinical Oncology, Genes & Development and Bioinformatics.

In The Last Decade

Ikbel Achour

29 papers receiving 590 citations

Peers

Ikbel Achour
Comparison fields: 5 of 79
  • Molecular Biology 356
  • Radiology, Nuclear Medicine and Imaging 183
  • Immunology 180
  • Oncology 85
  • Genetics 58
Replace Minggao Guo with:
Minggao Guo China
Daniela Ludwig Germany
Myriam Gwerder Switzerland
Sylwia Mazurek Poland
Jason Borawski United States
Daniel Lu United States
Arkajyoti Bhattacharya Netherlands
Pascal Lescure United States
Palash Chandra Maity Germany
E Ennis United States
Minggao Guo China View profile →
Citations per field, relative to Ikbel Achour
Ikbel Achour · 1×
Citations per year, relative to Ikbel Achour
Ikbel Achour · 1×

Countries citing papers authored by Ikbel Achour

Since Specialization
Citations

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

Fields of papers citing papers by Ikbel Achour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikbel Achour

This figure shows the co-authorship network connecting the top 25 collaborators of Ikbel Achour. A scholar is included among the top collaborators of Ikbel Achour based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ikbel Achour. Ikbel Achour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 6
3 7
4 15
5 4
6 21
7 20
8 10
9 16
10 12
11 74
12 8
13 32
14 2
15 49
16 33
17 33
18 20
19 84
20 57

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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