Frederic Bastian

986 citations
17 papers · 402 · h-index 9

Impact in

    • Biomedical Text Mining and Ontologies
    • Bioinformatics and Genomic Networks
    • Genomics and Phylogenetic Studies
    • Gene expression and cancer classification
    • Prion Diseases and Protein Misfolding
    • Machine Learning in Bioinformatics

Papers in

    • Biomedical Text Mining and Ontologies 5
    • Gene expression and cancer classification 3
    • Bioinformatics and Genomic Networks 2
    • Genomics and Phylogenetic Studies 2
    • Prion Diseases and Protein Misfolding 1
    • Mitochondrial Function and Pathology 1
    • Hepatitis C virus research 2

Frederic Bastian

17 papers receiving 391 citations

Peers

Frederic Bastian
Comparison fields: 5 of 83
  • Molecular Biology 298
  • Cancer Research 27
  • Biophysics 11
  • Neurology 14
  • Ecological Modeling 7
Replace Ung-Sik Yu with:
Ung-Sik Yu South Korea
A. Pascual-Montano Spain
Richard J. Sové United States
Alexander Kononov United States
Alessandro Di Cara Switzerland
Mugdha Khaladkar United States
Ingo Schupp Germany
Eva Alloza Spain
Aleksandra Shypitsyna Germany
Z. Hu China
Frederic Bastian relative to Ung-Sik Yu South Korea Ung-Sik Yu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Frederic Bastian

Since Specialization
Citations

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

Fields of papers citing papers by Frederic Bastian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008136
2 201486
3 201552
4 202034
5 199822
6 201215
7 201013
8 202411
9 20039
10 20138
11 19845
12 19883
13 20222
14 20032
15 20152
16 20101
17 20161

About Frederic Bastian

Frederic Bastian is a scholar working on Molecular Biology, Hepatology, Neurology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 17 papers that have together received 402 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Gene expression and cancer classification (3 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Hepatitis C virus research (2 papers), Biochemical Acid Research Studies (1 paper), Prion Diseases and Protein Misfolding (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Molecular Biology (298 citations), Cancer Research (27 citations), Biophysics (11 citations), Neurology (14 citations) and Ecological Modeling (7 citations). Frederic Bastian has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Marc Robinson‐Rechavi, Gilles Parmentier, Julien Roux, Sébastien Moretti, Vincent Laudet, Anne Niknejad, Suzanna Lewis, Aurélie Comte, James P. Balhoff and Wasila Dahdul. Their work appears in journals such as Bioinformatics, Database, JCO Clinical Cancer Informatics, Journal of Biomedical Semantics and Journal of Inherited Metabolic Disease.

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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