Mehdi Touat

6.8k citations
74 papers · 2.1k indexed · 1 hit paper · h-index 19
Topics
Glioma Diagnosis and Treatment (48 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)Cancer Immunotherapy and Biomarkers (11 papers)

In The Last Decade

Mehdi Touat

68 papers receiving 2.1k citations

Hit Papers

Glioblastoma targeted therapy: updated approaches from re...20172026202020232017100200300

Peers

Mehdi Touat
Comparison fields: 5 of 97
  • Molecular Biology 835
  • Genetics 800
  • Oncology 688
  • Cancer Research 444
  • Pulmonary and Respiratory Medicine 440
Replace Barbara Klink with:
Barbara Klink Germany
Matthias Holdhoff United States
Michael H. Handler United States
Sridhar Epari India
Jennifer S. Yu United States
Theodore Nicolaides United States
Diane K. Birks United States
Carmen Balañá Spain
Kristian W. Pajtler Germany
Matteo Simonelli Italy
Mehdi Touat relative to Barbara Klink Germany Barbara Klink's profile →
Citations per field
00.5×
Barbara Klink · 1×
Citations per year

Countries citing papers authored by Mehdi Touat

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Touat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Touat

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Touat. A scholar is included among the top collaborators of Mehdi Touat 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 Mehdi Touat. Mehdi Touat 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
#WorkIndexed citations
1 1
2 2
3 2
4 1
5 2
6 3
7 1
8 0
9 2
10 54
11 2
12 6
13 5
14 16
15 14
16 7
17 10
18 51
19 2
20 14

About Mehdi Touat

Mehdi Touat is a scholar working on Genetics, Cancer Research and Neurology, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (48 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Cancer Immunotherapy and Biomarkers (11 papers). The work is most often cited by research in Genetics (800 citations), Cancer Research (444 citations) and Oncology (688 citations). Mehdi Touat has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Ahmed Idbaïh, Marc Sanson, Keith L. Ligon, Jean‐Charles Soria, Sophie Postel‐Vinay, Ecaterina Ileana, Fabrice André, Dimitri Psimaras, Johanna Mondésir and Christophe Willekens. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Bioinformatics.

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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