Sarah Maman

1.3k total citations · 1 hit paper
12 papers, 802 citations indexed

About

Sarah Maman is a scholar working on Agronomy and Crop Science, Molecular Biology and Genetics. According to data from OpenAlex, Sarah Maman has authored 12 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Agronomy and Crop Science, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Sarah Maman's work include Genomics and Phylogenetic Studies (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers) and Animal Nutrition and Physiology (2 papers). Sarah Maman is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers) and Animal Nutrition and Physiology (2 papers). Sarah Maman collaborates with scholars based in France, United States and Australia. Sarah Maman's co-authors include Maria Bernard, Fréderic Escudié, Lucas Auer, Guillermina Hernandez‐Raquet, Mahendra Mariadassou, Sylvie Combes, Géraldine Pascal, Laurent Cauquil, Maxime Galan and Marc Éloit and has published in prestigious journals such as Bioinformatics, Scientific Reports and Aquaculture.

In The Last Decade

Sarah Maman

9 papers receiving 793 citations

Hit Papers

FROGS: Find, Rapidly, OTUs with Galaxy Solution 2017 2026 2020 2023 2017 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
Sarah Maman France 8 320 190 107 104 92 12 802
Toby Wilkinson United Kingdom 17 332 1.0× 202 1.1× 94 0.9× 87 0.8× 82 0.9× 28 815
Michał Ziemski Switzerland 9 497 1.6× 176 0.9× 95 0.9× 67 0.6× 76 0.8× 13 876
Monica A. Sundset Norway 17 500 1.6× 224 1.2× 55 0.5× 121 1.2× 123 1.3× 37 1.2k
Devon O’Rourke United States 6 367 1.1× 230 1.2× 64 0.6× 67 0.6× 55 0.6× 8 681
Goor Sasson Israel 9 582 1.8× 207 1.1× 70 0.7× 85 0.8× 128 1.4× 9 1.3k
Doo Wan Kim South Korea 7 533 1.7× 132 0.7× 127 1.2× 116 1.1× 165 1.8× 22 1.1k
Doug Wendel United States 4 657 2.1× 291 1.5× 110 1.0× 92 0.9× 97 1.1× 5 1.0k
Dong‐Wook Hyun South Korea 22 799 2.5× 409 2.2× 90 0.8× 72 0.7× 136 1.5× 69 1.2k
Sebastian Jünemann Germany 17 566 1.8× 294 1.5× 55 0.5× 160 1.5× 94 1.0× 22 1.1k
Pil Soo Kim South Korea 20 793 2.5× 374 2.0× 100 0.9× 81 0.8× 163 1.8× 67 1.4k

Countries citing papers authored by Sarah Maman

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Maman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Maman

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

All Works

12 of 12 papers shown
2.
Gilbert, Florence B., Sarah Maman, Christophe Klopp, et al.. (2024). Soluble CD14 produced by bovine mammary epithelial cells modulates their response to full length LPS. Veterinary Research. 55(1). 76–76.
3.
Maman, Sarah, et al.. (2024). RNA-seq data of pig placenta and endometrium during late gestation. Data in Brief. 57. 111178–111178.
4.
Maman, Sarah, Christelle Rossignol, Agnès Narcy, et al.. (2024). Implication of digestive functions and microbiota in the establishment of muscle glycogen differences between divergent lines for ultimate pH. Scientific Reports. 14(1). 24134–24134. 1 indexed citations
5.
Peixoto, Diogo, Cervin Guyomar, Frédéric Terrier, et al.. (2023). Yeast extract improves growth in rainbow trout (Oncorhynchus mykiss) fed a fishmeal-free diet and modulates the hepatic and distal intestine transcriptomic profile. Aquaculture. 579. 740226–740226. 7 indexed citations
6.
Vijaykrishna, Dhanasekaran, Hervé Cassard, Ben M. Hause, et al.. (2020). Global Transmission, Spatial Segregation, and Recombination Determine the Long-Term Evolution and Epidemiology of Bovine Coronaviruses. Viruses. 12(5). 534–534. 26 indexed citations
7.
8.
Robic, Annie, Thomas Faraut, Sarah Djebali, et al.. (2019). Analysis of pig transcriptomes suggests a global regulation mechanism enabling temporary bursts of circular RNAs. RNA Biology. 16(9). 1190–1204. 17 indexed citations
9.
Escudié, Fréderic, Lucas Auer, Maria Bernard, et al.. (2017). FROGS: Find, Rapidly, OTUs with Galaxy Solution. Bioinformatics. 34(8). 1287–1294. 608 indexed citations breakdown →
10.
Jousselin, Emmanuelle, Maxime Galan, Maria Bernard, et al.. (2015). Assessment of a 16S rRNA amplicon Illumina sequencing procedure for studying the microbiome of a symbiont‐rich aphid genus. Molecular Ecology Resources. 16(3). 628–640. 48 indexed citations
11.
Razzauti, Maria, Maxime Galan, Maria Bernard, et al.. (2015). A Comparison between Transcriptome Sequencing and 16S Metagenomics for Detection of Bacterial Pathogens in Wildlife. PLoS neglected tropical diseases. 9(8). e0003929–e0003929. 54 indexed citations
12.
Razzauti, Maria, Maxime Galan, Maria Bernard, et al.. (2014). Zoonotic bacterial survey assessed by next-generation sequencing. Parasites & Vectors. 7(Suppl 1). O14–O14. 21 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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