Samia Aci‐Sèche

605 citations
27 papers · 361 indexed · h-index 12
Topics
Computational Drug Discovery Methods (10 papers)Protein Structure and Dynamics (9 papers)Enzyme Structure and Function (4 papers)

In The Last Decade

Samia Aci‐Sèche

24 papers receiving 350 citations

Peers

Samia Aci‐Sèche
Comparison fields: 5 of 78
  • Molecular Biology 241
  • Computational Theory and Mathematics 88
  • Organic Chemistry 50
  • Oncology 48
  • Cellular and Molecular Neuroscience 39
Replace Amanda Cobos‐Correa with:
Amanda Cobos‐Correa Switzerland
Thomas J. Crisman Switzerland
Tomas Åkerud Sweden
Gerda Raidaru Estonia
Sergey A. Goncharuk Russia
Jonggul Kim United States
Erki Enkvist Estonia
Chan-I Chung United States
James R. Beasley United States
Navratna Vajpai Switzerland
Samia Aci‐Sèche relative to Amanda Cobos‐Correa Switzerland Amanda Cobos‐Correa's profile →
Citations per field
00.5×3.6×
Amanda Cobos‐Correa · 1×
Citations per year

Countries citing papers authored by Samia Aci‐Sèche

Since Specialization
Citations

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

Fields of papers citing papers by Samia Aci‐Sèche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samia Aci‐Sèche. 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 Samia Aci‐Sèche. The network helps show where Samia Aci‐Sèche may publish in the future.

Co-authorship network of co-authors of Samia Aci‐Sèche

This figure shows the co-authorship network connecting the top 25 collaborators of Samia Aci‐Sèche. A scholar is included among the top collaborators of Samia Aci‐Sèche 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 Samia Aci‐Sèche. Samia Aci‐Sèche 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 0
2 1
3 2
4 11
5 0
6 7
7 6
8 13
9 7
10 11
11 50
12 19
13 1
14 13
15 41
16 23
17 3
18 4
19 7
20 33

About Samia Aci‐Sèche

Samia Aci‐Sèche is a scholar working on Computational Theory and Mathematics, Biophysics and Molecular Biology, having authored 27 papers that have together received 361 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (9 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Biophysics (35 citations), Computational Theory and Mathematics (88 citations) and Molecular Biology (241 citations). Samia Aci‐Sèche has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Pascal Bonnet, Norbert Garnier, Stéphane Bourg, Monique Genest, Christophe Meyer, P. Hubert, Dominique Bagnard, Quoc‐Tuan Do, Didier Gasparutto and Serge Gambarelli. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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