Tounsia Aït‐Slimane

1.2k citations
29 papers · 853 indexed · h-index 17
Topics
Drug Transport and Resistance Mechanisms (16 papers)Pediatric Hepatobiliary Diseases and Treatments (10 papers)Cellular transport and secretion (6 papers)
Partner nations
FranceNetherlandsGermany

In The Last Decade

Tounsia Aït‐Slimane

29 papers receiving 846 citations

Peers

Tounsia Aït‐Slimane
Comparison fields: 5 of 69
  • Molecular Biology 389
  • Oncology 375
  • Surgery 301
  • Cell Biology 206
  • Epidemiology 122
Replace Naoya Sasaki with:
Naoya Sasaki Japan
Tien-Shun Yeh Taiwan
Chin K. Sung United States
Anna Álvarez-Guaita Spain
Salvador Naranjo‐Suarez Spain
Marie‐Thérèse Simon France
Shinya Koyama Japan
Yoshiyasu Kaneko Japan
Waka Omata Japan
Chunjing Wu United States
Tounsia Aït‐Slimane relative to Naoya Sasaki Japan Naoya Sasaki's profile →
Citations per field
00.5×5.2×
Naoya Sasaki · 1×
Citations per year

Countries citing papers authored by Tounsia Aït‐Slimane

Since Specialization
Citations

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

Fields of papers citing papers by Tounsia Aït‐Slimane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tounsia Aït‐Slimane. 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 Tounsia Aït‐Slimane. The network helps show where Tounsia Aït‐Slimane may publish in the future.

Co-authorship network of co-authors of Tounsia Aït‐Slimane

This figure shows the co-authorship network connecting the top 25 collaborators of Tounsia Aït‐Slimane. A scholar is included among the top collaborators of Tounsia Aït‐Slimane 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 Tounsia Aït‐Slimane. Tounsia Aït‐Slimane 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 2
2 7
3 23
4 3
5 12
6 30
7 15
8 10
9 11
10 40
11 22
12 7
13 71
14 10
15
[Mechanisms of sorting and transport of proteins to tw membrane domains of epithelial cells].
1
16 78
17 1
18 47
19 16
20 16

About Tounsia Aït‐Slimane

Tounsia Aït‐Slimane is a scholar working on Oncology, Hepatology and Cell Biology, having authored 29 papers that have together received 853 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Pediatric Hepatobiliary Diseases and Treatments (10 papers) and Cellular transport and secretion (6 papers). The work is most often cited by research in Oncology (375 citations), Cell Biology (206 citations) and Hepatology (86 citations). Tounsia Aït‐Slimane has collaborated with scholars based in France, Netherlands and Germany. Frequent co-authors include Dick Hoekstra, Germain Trugnan, Michèle Maurice, Sven C.D. van IJzendoorn, J. Delaunay, Chantal Housset, Anne‐Marie Durand‐Schneider, Thomas Falguières, Emmanuel Jacquemin and Danièle Delautier. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

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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