Maude M. David

2.3k total citations · 2 hit papers
29 papers, 1.4k citations indexed

About

Maude M. David is a scholar working on Molecular Biology, Ecology and Cognitive Neuroscience. According to data from OpenAlex, Maude M. David has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Ecology and 6 papers in Cognitive Neuroscience. Recurrent topics in Maude M. David's work include Gut microbiota and health (12 papers), Microbial Community Ecology and Physiology (9 papers) and Autism Spectrum Disorder Research (6 papers). Maude M. David is often cited by papers focused on Gut microbiota and health (12 papers), Microbial Community Ecology and Physiology (9 papers) and Autism Spectrum Disorder Research (6 papers). Maude M. David collaborates with scholars based in United States, France and Denmark. Maude M. David's co-authors include Janet Jansson, Rachel Mackelprang, Steven J. Blazewicz, Mark P. Waldrop, Edward M. Rubin, Krystle L. Chavarría, Kristen M. DeAngelis, Jenni Hultman, Jack W. McFarland and Manesh Shah and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Maude M. David

29 papers receiving 1.4k citations

Hit Papers

Metagenomic analysis of a permafrost microbial community ... 2011 2026 2016 2021 2011 2015 100 200 300 400 500

Peers

Maude M. David
Shalabh Sharma United States
Ian D. E. A. Lidbury United Kingdom
Lu Qian China
Tobias Großkopf United Kingdom
Krystle L. Chavarría United States
Vanessa A. Varaljay United States
Shalabh Sharma United States
Maude M. David
Citations per year, relative to Maude M. David Maude M. David (= 1×) peers Shalabh Sharma

Countries citing papers authored by Maude M. David

Since Specialization
Citations

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

Fields of papers citing papers by Maude M. David

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maude M. David. 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 Maude M. David. The network helps show where Maude M. David may publish in the future.

Co-authorship network of co-authors of Maude M. David

This figure shows the co-authorship network connecting the top 25 collaborators of Maude M. David. A scholar is included among the top collaborators of Maude M. David 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 Maude M. David. Maude M. David 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.
Varma, Rohan, et al.. (2025). Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data. PLoS Computational Biology. 21(5). e1011353–e1011353. 3 indexed citations
2.
Tataru, Christine, et al.. (2023). Cytokine induced inflammatory bowel disease model using organ-on-a-chip technology. PLoS ONE. 18(12). e0289314–e0289314. 7 indexed citations
3.
David, Maude M., et al.. (2023). Sex shapes gut–microbiota–brain communication and disease. Trends in Microbiology. 32(2). 151–161. 25 indexed citations
4.
Tataru, Christine, Erica Rutherford, Xiaochen Yin, et al.. (2023). Topic modeling for multi-omic integration in the human gut microbiome and implications for Autism. Scientific Reports. 13(1). 11353–11353. 6 indexed citations
5.
David, Maude M., Christine Tataru, L. Baker, et al.. (2022). Revealing General Patterns of Microbiomes That Transcend Systems: Potential and Challenges of Deep Transfer Learning. mSystems. 7(1). 5 indexed citations
6.
Davidson, Joseph R., et al.. (2022). An open-source, low-cost voluntary running activity tracking tool for in vivo rodent studies. PLoS ONE. 17(9). e0273865–e0273865. 2 indexed citations
7.
Tataru, Christine, et al.. (2022). GMEmbeddings: An R Package to Apply Embedding Techniques to Microbiome Data. SHILAP Revista de lepidopterología. 2. 828703–828703. 4 indexed citations
8.
Tataru, Christine, Kaitlyn Dunlap, Brianna Chrisman, et al.. (2021). Longitudinal study of stool-associated microbial taxa in sibling pairs with and without autism spectrum disorder. ISME Communications. 1(1). 80–80. 5 indexed citations
9.
David, Maude M., Christine Tataru, Jena Daniels, et al.. (2021). Children with Autism and Their Typically Developing Siblings Differ in Amplicon Sequence Variants and Predicted Functions of Stool-Associated Microbes. mSystems. 6(2). 19 indexed citations
10.
David, Maude M.. (2021). The Role of the Microbiome in Autism: All That We Know about All That We Don’t Know. mSystems. 6(2). 4 indexed citations
11.
Chrisman, Brianna, Kelley Paskov, Nate Stockham, et al.. (2021). Improved detection of disease-associated gut microbes using 16S sequence-based biomarkers. BMC Bioinformatics. 22(1). 509–509. 8 indexed citations
12.
Tataru, Christine & Maude M. David. (2020). Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease. PLoS Computational Biology. 16(5). e1007859–e1007859. 17 indexed citations
13.
Kimbrel, Jeffrey A., Yu‐Wei Wu, Maude M. David, et al.. (2018). Microbial Community Structure and Functional Potential Along a Hypersaline Gradient. Frontiers in Microbiology. 9. 1492–1492. 36 indexed citations
14.
Esteban, Francisco J., et al.. (2017). Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes. BMC Genomics. 18(1). 315–315. 18 indexed citations
15.
David, Maude M., et al.. (2016). Comorbid Analysis of Genes Associated with Autism Spectrum Disorders Reveals Differential Evolutionary Constraints. PLoS ONE. 11(7). e0157937–e0157937. 17 indexed citations
16.
Hultman, Jenni, Mark P. Waldrop, Rachel Mackelprang, et al.. (2015). Multi-omics of permafrost, active layer and thermokarst bog soil microbiomes. Nature. 521(7551). 208–212. 375 indexed citations breakdown →
17.
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
18.
Dugat‐Bony, Éric, Corinne Biderre‐Petit, Maude M. David, et al.. (2012). In situ TCE degradation mediated by complex dehalorespiring communities during biostimulation processes. Microbial Biotechnology. 5(5). 642–653. 42 indexed citations
19.
David, Maude M., Ronan Perrussel, Amy R. Sapkota, et al.. (2010). Comparative phylogenetic microarray analysis of microbial communities in TCE-contaminated soils. Chemosphere. 80(5). 600–607. 15 indexed citations
20.
Demanèche, Sandrine, Maude M. David, Élisabeth Navarro, Pascal Simonet, & Timothy M. Vogel. (2008). Evaluation of functional gene enrichment in a soil metagenomic clone library. Journal of Microbiological Methods. 76(1). 105–107. 16 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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