Frédéric Schütz

4.5k total citations · 1 hit paper
38 papers, 3.2k citations indexed

About

Frédéric Schütz is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Frédéric Schütz has authored 38 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Spectroscopy. Recurrent topics in Frédéric Schütz's work include Mass Spectrometry Techniques and Applications (7 papers), Genomics and Chromatin Dynamics (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Frédéric Schütz is often cited by papers focused on Mass Spectrometry Techniques and Applications (7 papers), Genomics and Chromatin Dynamics (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Frédéric Schütz collaborates with scholars based in Switzerland, France and Australia. Frédéric Schütz's co-authors include Eugene A. Kapp, Sylvain Pradervand, Richard J. Simpson, Mauro Delorenzi, Terence P. Speed, Martine Piccart, Susanne Kunkel, Pierre Farmer, Christine Desmedt and Thierry Sengstag and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Frédéric Schütz

37 papers receiving 3.1k citations

Hit Papers

Meta-analysis of gene expression profiles in breast cance... 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frédéric Schütz Switzerland 24 1.8k 612 568 561 397 38 3.2k
Daniel Ríos United Kingdom 8 1.8k 1.0× 704 1.2× 453 0.8× 313 0.6× 229 0.6× 14 2.9k
Kevin Blackburn United States 27 2.0k 1.1× 451 0.7× 389 0.7× 324 0.6× 412 1.0× 50 3.2k
Joseph Foster United States 23 2.0k 1.1× 361 0.6× 706 1.2× 285 0.5× 402 1.0× 41 3.5k
Nadin Neuhauser Germany 6 3.4k 1.9× 290 0.5× 1.3k 2.3× 286 0.5× 379 1.0× 6 4.7k
Arminja N. Kettenbach United States 33 2.9k 1.6× 276 0.5× 344 0.6× 216 0.4× 612 1.5× 100 4.2k
Bingwen Lu United States 28 1.9k 1.1× 154 0.3× 554 1.0× 182 0.3× 304 0.8× 55 2.9k
Emanuele Alpi United Kingdom 11 1.6k 0.9× 149 0.2× 493 0.9× 242 0.4× 163 0.4× 14 2.3k
Zhaojing Meng United States 26 1.7k 1.0× 219 0.4× 179 0.3× 240 0.4× 286 0.7× 36 3.1k
Michał Okoniewski Switzerland 29 2.0k 1.1× 331 0.5× 120 0.2× 457 0.8× 402 1.0× 59 3.3k
Alexey M. Eroshkin United States 26 1.7k 0.9× 210 0.3× 150 0.3× 393 0.7× 441 1.1× 55 2.8k

Countries citing papers authored by Frédéric Schütz

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Schütz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Schütz

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Schütz. A scholar is included among the top collaborators of Frédéric Schütz 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 Frédéric Schütz. Frédéric Schütz 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
1.
Violi, Naïk Vietti, Émilie Uldry, Tom Hilbert, et al.. (2024). Quantitative T2 Mapping of Acute Pancreatitis. Journal of Magnetic Resonance Imaging. 60(6). 2683–2691.
2.
Özşahin, Mahmut, Jérôme Fayette, Marc Poupart, et al.. (2021). Prognostic impact of extranodal extension in resected head and neck squamous cell carcinomas in the era of postoperative chemoradiation: A retrospective monocentric study. Oral Oncology. 123. 105605–105605. 5 indexed citations
3.
West, Sean M., Frédéric Schütz, Pierre Gönczy, et al.. (2019). Tissue- and sex-specific small RNAomes reveal sex differences in response to the environment. PLoS Genetics. 15(2). e1007905–e1007905. 15 indexed citations
4.
Schütz, Frédéric, et al.. (2018). ABPS: An R Package for Calculating the Abnormal Blood Profile Score. Frontiers in Physiology. 9. 1638–1638. 18 indexed citations
5.
6.
Bourreau, Eliane, Marine Ginouvès, Ghislaine Prévot, et al.. (2015). Presence ofLeishmaniaRNA Virus 1 inLeishmania guyanensisIncreases the Risk of First-Line Treatment Failure and Symptomatic Relapse. The Journal of Infectious Diseases. 213(1). 105–111. 111 indexed citations
7.
Ives, Annette, Catherine Ronet, Florence Prével, et al.. (2011). Leishmania RNA Virus Controls the Severity of Mucocutaneous Leishmaniasis. Science. 331(6018). 775–778. 304 indexed citations
8.
Renaud, Stéphanie, Frédéric Schütz, Luigino Grasso, et al.. (2011). Protein-Binding Microarray Analysis of Tumor Suppressor AP2α Target Gene Specificity. PLoS ONE. 6(8). e22895–e22895. 4 indexed citations
9.
Soulard, Alexandre, Alessio Cremonesi, Suzette Moes, et al.. (2010). The Rapamycin-sensitive Phosphoproteome Reveals That TOR Controls Protein Kinase A Toward Some But Not All Substrates. Molecular Biology of the Cell. 21(19). 3475–3486. 212 indexed citations
10.
Ait‐Yahya, Emilie, Charlotte N. Henrichsen, Jacqueline Chrast, et al.. (2010). Copy number variation modifies expression time courses. Genome Research. 21(1). 106–113. 48 indexed citations
11.
Harewood, Louise, Frédéric Schütz, Shelagh Boyle, et al.. (2010). The effect of translocation-induced nuclear reorganization on gene expression. Genome Research. 20(5). 554–564. 80 indexed citations
12.
Nikolaev, Sergey I., Samuel Deutsch, Raphaël Genolet, et al.. (2009). Transcriptional and post-transcriptional profile of human chromosome 21. Genome Research. 19(8). 1471–1479. 2 indexed citations
13.
Wirapati, Pratyaksha, Christos Sotiriou, Susanne Kunkel, et al.. (2008). Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast Cancer Research. 10(4). R65–R65. 654 indexed citations breakdown →
14.
Michaud, Joëlle, Ken Simpson, Robert Escher, et al.. (2008). Integrative analysis of RUNX1 downstream pathways and target genes. BMC Genomics. 9(1). 363–363. 97 indexed citations
15.
Brembilla, Nicolò Costantino, Johann Weber, Donata Rimoldi, et al.. (2008). c-Cbl expression levels regulate the functional responses of human central and effector memory CD4 T cells. Blood. 112(3). 652–660. 10 indexed citations
16.
Schütz, Frédéric & Mauro Delorenzi. (2008). MAMOT: hidden Markov modeling tool. Bioinformatics. 24(11). 1399–1400. 11 indexed citations
17.
Stevenson, Brian J., Félix Naef, Maciej Wiznerowicz, et al.. (2008). Genotypic Features of Lentivirus Transgenic Mice. Journal of Virology. 82(14). 7111–7119. 24 indexed citations
18.
Sotiriou, Christos, Pratyaksha Wirapati, Susanne Kunkel, et al.. (2007). Meta-analysis of gene-expression profiles in breast cancer: towards a unified understanding of breast cancer sub-typing and prognosis signatures. Breast Cancer Research and Treatment. 106. 4 indexed citations
19.
Colzani, Mara, Frédéric Schütz, Alexandra Potts, Patrice Waridel, & Manfredo Quadroni. (2007). Relative Protein Quantification by Isobaric SILAC with Immonium Ion Splitting (ISIS). Molecular & Cellular Proteomics. 7(5). 927–937. 28 indexed citations
20.
Hicks, Tacha, Frédéric Schütz, James M. Curran, & C.M. Triggs. (2005). A model for estimating the number of glass fragments transferred when breaking a pane: experiments with firearms and hammer. Science & Justice. 45(2). 65–74. 4 indexed citations

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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