Emmanuel Prestat

1.9k total citations
19 papers, 1.3k citations indexed

About

Emmanuel Prestat is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Emmanuel Prestat has authored 19 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Ecology and 4 papers in Pollution. Recurrent topics in Emmanuel Prestat's work include Microbial Community Ecology and Physiology (8 papers), Gut microbiota and health (5 papers) and Genomics and Phylogenetic Studies (4 papers). Emmanuel Prestat is often cited by papers focused on Microbial Community Ecology and Physiology (8 papers), Gut microbiota and health (5 papers) and Genomics and Phylogenetic Studies (4 papers). Emmanuel Prestat collaborates with scholars based in United States, France and Denmark. Emmanuel Prestat's co-authors include Janet Jansson, Neslihan Taş, Nathalie Lombard, Pascal Simonet, Jan Dirk van Elsas, Timothy M. Vogel, Rob Knight, Olivia U. Mason, Sharon Borglin and Terry C. Hazen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Emmanuel Prestat

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Prestat United States 14 785 481 373 172 169 19 1.3k
Bärbel U. Foesel Germany 19 857 1.1× 555 1.2× 228 0.6× 119 0.7× 294 1.7× 32 1.5k
William V. Sigler Switzerland 14 625 0.8× 236 0.5× 318 0.9× 188 1.1× 199 1.2× 16 1.2k
Xavier Triadó–Margarit Spain 21 771 1.0× 486 1.0× 270 0.7× 85 0.5× 146 0.9× 37 1.4k
Sanghoon Kang United States 16 908 1.2× 481 1.0× 184 0.5× 412 2.4× 128 0.8× 29 1.4k
Josie van Dorst Australia 17 767 1.0× 453 0.9× 152 0.4× 166 1.0× 116 0.7× 26 1.2k
Deepak Kumaresan United Kingdom 19 634 0.8× 443 0.9× 186 0.5× 205 1.2× 291 1.7× 53 1.3k
Alica Chroňáková Czechia 22 664 0.8× 301 0.6× 400 1.1× 474 2.8× 248 1.5× 59 1.6k
Krystle L. Chavarría United States 8 632 0.8× 550 1.1× 196 0.5× 81 0.5× 182 1.1× 8 1.3k
Guangxiu Liu China 24 541 0.7× 490 1.0× 201 0.5× 171 1.0× 62 0.4× 120 1.7k
Valérie Michotey France 29 1.0k 1.3× 678 1.4× 780 2.1× 105 0.6× 342 2.0× 66 2.1k

Countries citing papers authored by Emmanuel Prestat

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Prestat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Prestat

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

All Works

19 of 19 papers shown
2.
Prestat, Emmanuel, et al.. (2023). 1304 Robust machine learning (ML) approach for screening microbiome ecosystem therapies (MET) drug candidates in combination with immune checkpoint inhibitors. SHILAP Revista de lepidopterología. A1449–A1449. 1 indexed citations
3.
Gasc, Cyrielle, Emmanuel Prestat, Mariana Galvão Ferrarini, et al.. (2021). A comprehensive evaluation of binning methods to recover human gut microbial species from a non-redundant reference gene catalog. NAR Genomics and Bioinformatics. 3(1). lqab009–lqab009. 7 indexed citations
4.
Prestat, Emmanuel, et al.. (2020). Abstract 870: Immunoscore® workflow enhanced by artificial intelligence. Cancer Research. 80(16_Supplement). 870–870. 1 indexed citations
5.
Taş, Neslihan, Emmanuel Prestat, Wang Shi, et al.. (2018). Landscape topography structures the soil microbiome in arctic polygonal tundra. Nature Communications. 9(1). 777–777. 85 indexed citations
7.
Mounier, Jérôme, Emmanuel Prestat, Sophie Vallet, et al.. (2015). Insights into the respiratory tract microbiota of patients with cystic fibrosis during early Pseudomonas aeruginosa colonization. SpringerPlus. 4(1). 405–405. 28 indexed citations
8.
Delmont, Tom O., A. Murat Eren, Lorrie Maccario, et al.. (2015). Reconstructing rare soil microbial genomes using in situ enrichments and metagenomics. Frontiers in Microbiology. 6. 358–358. 47 indexed citations
9.
Prestat, Emmanuel, Maude M. David, Jenni Hultman, et al.. (2014). FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus. Nucleic Acids Research. 42(19). e145–e145. 78 indexed citations
10.
Lamendella, Regina, Steven Strutt, Sharon Borglin, et al.. (2014). Assessment of the Deepwater Horizon oil spill impact on Gulf coast microbial communities. Frontiers in Microbiology. 5. 130–130. 140 indexed citations
11.
Mason, Olivia U., Nicole M. Scott, Antonio González, et al.. (2014). Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill. The ISME Journal. 8(7). 1464–1475. 273 indexed citations
12.
Taş, Neslihan, Emmanuel Prestat, Jack W. McFarland, et al.. (2014). Impact of fire on active layer and permafrost microbial communities and metagenomes in an upland Alaskan boreal forest. The ISME Journal. 8(9). 1904–1919. 144 indexed citations
13.
David, Maude M., et al.. (2014). Microbial ecology of chlorinated solvent biodegradation. Environmental Microbiology. 17(12). 4835–4850. 23 indexed citations
14.
Larose, Catherine, Emmanuel Prestat, Sébastien Cecillon, et al.. (2013). Interactions between Snow Chemistry, Mercury Inputs and Microbial Population Dynamics in an Arctic Snowpack. PLoS ONE. 8(11). e79972–e79972. 39 indexed citations
15.
Prestat, Emmanuel, Julie A. Vendrell, Aurélie Thollet, et al.. (2013). Learning the local Bayesian network structure around the ZNF217 oncogene in breast tumours. Computers in Biology and Medicine. 43(4). 334–341. 7 indexed citations
16.
Delmont, Tom O., Emmanuel Prestat, Kevin Keegan, et al.. (2012). Structure, fluctuation and magnitude of a natural grassland soil metagenome. The ISME Journal. 6(9). 1677–1687. 156 indexed citations
17.
Bælum, Jacob, Emmanuel Prestat, Maude M. David, Bjarne W. Strobel, & Carsten Suhr Jacobsen. (2012). Modeling of Phenoxy Acid Herbicide Mineralization and Growth of Microbial Degraders in 15 Soils Monitored by Quantitative Real-Time PCR of the Functional tfdA Gene. Applied and Environmental Microbiology. 78(15). 5305–5312. 20 indexed citations
18.
Lombard, Nathalie, Emmanuel Prestat, Jan Dirk van Elsas, & Pascal Simonet. (2011). Soil-specific limitations for access and analysis of soil microbial communities by metagenomics. FEMS Microbiology Ecology. 78(1). 31–49. 173 indexed citations
19.
Delmont, Tom O., Cédric Malandain, Emmanuel Prestat, et al.. (2011). Metagenomic mining for microbiologists. The ISME Journal. 5(12). 1837–1843. 76 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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