Anne-Cécile Pittet

938 total citations
8 papers, 763 citations indexed

About

Anne-Cécile Pittet is a scholar working on Biotechnology, Molecular Biology and Ecology. According to data from OpenAlex, Anne-Cécile Pittet has authored 8 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biotechnology, 3 papers in Molecular Biology and 2 papers in Ecology. Recurrent topics in Anne-Cécile Pittet's work include Enzyme Production and Characterization (4 papers), Genomics and Phylogenetic Studies (3 papers) and Bacteriophages and microbial interactions (2 papers). Anne-Cécile Pittet is often cited by papers focused on Enzyme Production and Characterization (4 papers), Genomics and Phylogenetic Studies (3 papers) and Bacteriophages and microbial interactions (2 papers). Anne-Cécile Pittet collaborates with scholars based in Switzerland, Italy and France. Anne-Cécile Pittet's co-authors include Ueli Schibler, Peter K. Wellauer, Mario Tosi, Lucia Fabiani, R. David Pridmore, Rodrigo Bibiloni, Harald Brüssow, Bernard Berger, Caroline Barretto and Lutz Krause and has published in prestigious journals such as Journal of Molecular Biology, Molecular and Cellular Biology and Journal of Bacteriology.

In The Last Decade

Anne-Cécile Pittet

8 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne-Cécile Pittet Switzerland 8 343 201 131 130 108 8 763
Maria Rita Spinosa Italy 13 430 1.3× 86 0.4× 89 0.7× 137 1.1× 61 0.6× 17 903
Kachiko Sekiya Japan 18 493 1.4× 129 0.6× 265 2.0× 93 0.7× 41 0.4× 41 1.3k
My Lien Dao United States 15 277 0.8× 78 0.4× 121 0.9× 108 0.8× 48 0.4× 25 671
Katherine Harcourt United Kingdom 15 399 1.2× 66 0.3× 110 0.8× 149 1.1× 65 0.6× 27 1.1k
Takehito Suzuki Japan 14 369 1.1× 51 0.3× 46 0.4× 236 1.8× 109 1.0× 44 735
Shipan Dai United States 14 240 0.7× 78 0.4× 116 0.9× 98 0.8× 109 1.0× 14 591
Takahiro Murata Japan 13 346 1.0× 285 1.4× 216 1.6× 91 0.7× 23 0.2× 37 925
Frans Tielen Netherlands 14 234 0.7× 37 0.2× 82 0.6× 172 1.3× 57 0.5× 18 553
Hiroshi Sashinami Japan 16 213 0.6× 40 0.2× 61 0.5× 172 1.3× 32 0.3× 26 774
Aurélie Nicolas France 16 535 1.6× 37 0.2× 66 0.5× 202 1.6× 48 0.4× 27 741

Countries citing papers authored by Anne-Cécile Pittet

Since Specialization
Citations

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

Fields of papers citing papers by Anne-Cécile Pittet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne-Cécile Pittet. 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 Anne-Cécile Pittet. The network helps show where Anne-Cécile Pittet may publish in the future.

Co-authorship network of co-authors of Anne-Cécile Pittet

This figure shows the co-authorship network connecting the top 25 collaborators of Anne-Cécile Pittet. A scholar is included among the top collaborators of Anne-Cécile Pittet 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 Anne-Cécile Pittet. Anne-Cécile Pittet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sarker, Shafiqul Alam, Shawna McCallin, Caroline Barretto, et al.. (2012). Oral T4-like phage cocktail application to healthy adult volunteers from Bangladesh. Virology. 434(2). 222–232. 185 indexed citations
2.
Ross, Alastair B., Stephen J. Bruce, Maurice Beaumont, et al.. (2011). A whole-grain cereal-rich diet increases plasma betaine, and tends to decrease total and LDL-cholesterol compared with a refined-grain diet in healthy subjects. British Journal Of Nutrition. 105(10). 1492–1502. 130 indexed citations
3.
Pridmore, R. David, et al.. (2008). Hydrogen peroxide production by Lactobacillus johnsonii NCC 533 and its role in anti-Salmonella activity. FEMS Microbiology Letters. 283(2). 210–215. 125 indexed citations
4.
Denou, Emmanuel, R. David Pridmore, Marco Ventura, et al.. (2008). The Role of Prophage for Genome Diversification within a Clonal Lineage ofLactobacillus johnsonii: Characterization of the Defective Prophage LJ771. Journal of Bacteriology. 190(17). 5806–5813. 19 indexed citations
5.
Sierra, Felipe, Anne-Cécile Pittet, & Ueli Schibler. (1986). Different Tissue-Specific Expression of the Amylase Gene Amy-1 in Mice and Rats. Molecular and Cellular Biology. 6(11). 4067–4076. 22 indexed citations
6.
Pittet, Anne-Cécile & Ueli Schibler. (1985). Mouse alpha-amylase loci, Amy-1a and Amy-2a, are closely linked. Journal of Molecular Biology. 182(3). 359–365. 14 indexed citations
7.
Schibler, Ueli, Anne-Cécile Pittet, Richard A. Young, et al.. (1982). The mouse α-amylase multigene family sequence organization of members expressed in the pancreas, salivary gland and liver. Journal of Molecular Biology. 155(3). 247–266. 86 indexed citations
8.
Schibler, Ueli, Mario Tosi, Anne-Cécile Pittet, Lucia Fabiani, & Peter K. Wellauer. (1980). Tissue-specific expression of mouse α-amylase genes. Journal of Molecular Biology. 142(1). 93–116. 182 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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2026