Vincent Schächter

6.5k citations
27 papers · 1.8k indexed · 1 hit paper · h-index 12

Vincent Schächter

26 papers receiving 1.7k citations

Hit Papers

The protein–protein interaction map of Helicobacter pylori8472001202620092017250500750

Peers

Vincent Schächter
Comparison fields: 5 of 109
  • Molecular Biology 1.5k
  • Computational Theory and Mathematics 190
  • Endocrinology 37
  • Aging 12
  • Genetics 178
Replace Michele Magrane with:
Michele Magrane United Kingdom
Takashi Ishida Japan
Jean-François Gibrat France
Bree B. Aldridge United States
Ivan Anishchenko United States
Sylvain Poux Switzerland
Hannes Braberg United States
Bryce Nelson Japan
Castrense Savojardo Italy
Domenico Cozzetto United Kingdom
Vincent Schächter relative to Michele Magrane United Kingdom Michele Magrane's profile →
Citations per field
00.5×1.5×
Michele Magrane · 1×
Citations per year

Countries citing papers authored by Vincent Schächter

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Schächter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2008178
2 2008220
3 200864
4 20077
5 20069
6 200611
7 20067
8
Computational Methods in Systems Biology: International Conference CMSB 2004, Paris, France, May 26-28, 2004, Revised Selected Papers (Lecture Notes in ... Science / Lecture Notes in Bioinformatics)
20053
9 200517
10 200481
11 200462
12 200413
13 20030
14 20031
15 20023
16 20027
17 20023
18
The protein–protein interaction map of Helicobacter pyloribreakdown →
2001847
19 200025
20 19994

About Vincent Schächter

Vincent Schächter is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (6 papers), Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Biofuel production and bioconversion (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Computational Theory and Mathematics (190 citations) and Endocrinology (37 citations). Vincent Schächter has collaborated with scholars based in France, United States and Ivory Coast. Frequent co-authors include Jérôme Wojcik, Maxime Durot, Pierre-Yves Bourguignon, Pierre Legrain, Gerlinde Lenzen, Agnès Labigne, Hilde De Reuse, Céline Reverdy, Jean‐Christophe Rain and Fabien Petel. Their work appears in journals such as Nature, Bioinformatics and Journal of Bacteriology.

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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