Léa Siegwald

461 total citations
10 papers, 252 citations indexed

About

Léa Siegwald is a scholar working on Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Léa Siegwald has authored 10 papers receiving a total of 252 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Léa Siegwald's work include Gut microbiota and health (6 papers), Gastrointestinal motility and disorders (2 papers) and Genomics and Phylogenetic Studies (2 papers). Léa Siegwald is often cited by papers focused on Gut microbiota and health (6 papers), Gastrointestinal motility and disorders (2 papers) and Genomics and Phylogenetic Studies (2 papers). Léa Siegwald collaborates with scholars based in Switzerland, France and Hong Kong. Léa Siegwald's co-authors include Ségolène Caboche, Christophe Audebert, David Hot, Norbert Sprenger, Bernard Berger, D Moine, Dominik Grathwohl, Michèle Delley, Annick Mercenier and Yves Lemoine and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Nutrients.

In The Last Decade

Léa Siegwald

9 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Léa Siegwald Switzerland 7 123 115 68 37 36 10 252
Benjamin R. Macadangdang United States 5 139 1.1× 140 1.2× 57 0.8× 40 1.1× 15 0.4× 6 290
Pernille Neve Myers Denmark 10 121 1.0× 52 0.5× 37 0.5× 23 0.6× 13 0.4× 16 217
Yangqing Peng United States 4 236 1.9× 46 0.4× 40 0.6× 48 1.3× 9 0.3× 7 369
Katherine Donald Canada 5 128 1.0× 68 0.6× 42 0.6× 18 0.5× 6 0.2× 13 248
Kateryna Pierzynowska Sweden 9 129 1.0× 107 0.9× 29 0.4× 40 1.1× 5 0.1× 29 350
Maaike W. Schaart Netherlands 12 47 0.4× 145 1.3× 76 1.1× 68 1.8× 13 0.4× 15 363
Line Fisker Zachariassen Denmark 11 172 1.4× 42 0.4× 27 0.4× 48 1.3× 14 0.4× 21 314
Miriam N. Ojima Japan 8 158 1.3× 139 1.2× 20 0.3× 54 1.5× 20 0.6× 11 264
Qilin Hong United States 5 189 1.5× 51 0.4× 31 0.5× 23 0.6× 7 0.2× 7 278
Jennifer Ketskemety United Kingdom 4 203 1.7× 110 1.0× 23 0.3× 21 0.6× 5 0.1× 4 273

Countries citing papers authored by Léa Siegwald

Since Specialization
Citations

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

Fields of papers citing papers by Léa Siegwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léa Siegwald

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

All Works

10 of 10 papers shown
1.
2.
Siegwald, Léa, Silas Kieser, Ruth Steinberg, et al.. (2023). Informed interpretation of metagenomic data by StrainPhlAn enables strain retention analyses of the upper airway microbiome. mSystems. 8(6). e0072423–e0072423. 3 indexed citations
3.
4.
Boulangé, Claire L., Helle Pedersen, François‐Pierre Martin, et al.. (2023). An Extensively Hydrolyzed Formula Supplemented with Two Human Milk Oligosaccharides Modifies the Fecal Microbiome and Metabolome in Infants with Cow’s Milk Protein Allergy. International Journal of Molecular Sciences. 24(14). 11422–11422. 18 indexed citations
5.
Ferrier, Laurent, Hélène Eutamène, Léa Siegwald, et al.. (2021). Human milk oligosaccharides alleviate stress-induced visceral hypersensitivity and associated microbiota dysbiosis. The Journal of Nutritional Biochemistry. 99. 108865–108865. 12 indexed citations
6.
Dubois‐Deruy, Emilie, Jeanne Alard, Gwenola Kervoaze, et al.. (2020). Modelling the Impact of Chronic Cigarette Smoke Exposure in Obese Mice: Metabolic, Pulmonary, Intestinal, and Cardiac Issues. Nutrients. 12(3). 827–827. 8 indexed citations
7.
Berger, Bernard, Nadine Porta, Francis Foata, et al.. (2020). Linking Human Milk Oligosaccharides, Infant Fecal Community Types, and Later Risk To Require Antibiotics. mBio. 11(2). 125 indexed citations
8.
Siegwald, Léa, Ségolène Caboche, Gaël Even, et al.. (2019). The Impact of Bioinformatics Pipelines on Microbiota Studies: Does the Analytical “Microscope” Affect the Biological Interpretation?. Microorganisms. 7(10). 393–393. 20 indexed citations
9.
Siegwald, Léa, Hélène Touzet, Yves Lemoine, et al.. (2017). Assessment of Common and Emerging Bioinformatics Pipelines for Targeted Metagenomics. PLoS ONE. 12(1). e0169563–e0169563. 54 indexed citations
10.
Siegwald, Léa, Christophe Audebert, Gaël Even, et al.. (2017). Targeted metagenomic sequencing data of human gut microbiota associated with Blastocystis colonization. Scientific Data. 4(1). 170081–170081. 9 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