Mathis Wolter

3.3k total citations · 1 hit paper
5 papers, 2.3k citations indexed

About

Mathis Wolter is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Mathis Wolter has authored 5 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Physiology. Recurrent topics in Mathis Wolter's work include Gut microbiota and health (4 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Probiotics and Fermented Foods (1 paper). Mathis Wolter is often cited by papers focused on Gut microbiota and health (4 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Probiotics and Fermented Foods (1 paper). Mathis Wolter collaborates with scholars based in Luxembourg, Denmark and United States. Mathis Wolter's co-authors include Mahesh S. Desai, Eric C. Martens, Nobuhiko Kamada, Nicholas A. Pudlo, Paul Wilmes, Christina Hickey, Bernard Henrissat, Nicolas Terrapon, Vincent B. Young and Anna M. Seekatz and has published in prestigious journals such as Cell, Nature Reviews Gastroenterology & Hepatology and mBio.

In The Last Decade

Mathis Wolter

5 papers receiving 2.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Dietary Fiber-Deprived Gut Microbiota Degrades the Colonic Mucus Barrier and Enhances Pathogen Susceptibility

2016 2.0k citations Mahesh S. Desai, Anna M. Seekatz et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathis Wolter Luxembourg	5	1.7k	596	431	364	351	5	2.3k
Craig I. McKenzie Australia	15	1.9k 1.1×	988 1.7×	423 1.0×	399 1.1×	330 0.9×	24	3.3k
Myunghoo Kim South Korea	20	2.1k 1.3×	649 1.1×	351 0.8×	323 0.9×	545 1.6×	59	3.4k
Annaïg Lan France	26	2.1k 1.3×	686 1.2×	536 1.2×	395 1.1×	499 1.4×	43	3.2k
Catherine Ngom‐Bru Switzerland	11	2.0k 1.2×	934 1.6×	492 1.1×	388 1.1×	499 1.4×	17	3.1k
Marı́a Julieta González Chile	8	2.0k 1.2×	688 1.2×	465 1.1×	387 1.1×	385 1.1×	10	3.1k
Takuya Takahashi Japan	26	1.7k 1.0×	595 1.0×	563 1.3×	362 1.0×	408 1.2×	41	2.6k
Bejan Saeedi United States	19	1.7k 1.1×	584 1.0×	268 0.6×	226 0.6×	431 1.2×	41	3.0k
Bryan D. Merrill United States	16	2.2k 1.3×	677 1.1×	416 1.0×	234 0.6×	493 1.4×	24	3.0k
Veera Kainulainen Finland	15	1.7k 1.0×	421 0.7×	627 1.5×	303 0.8×	480 1.4×	24	2.4k
Patrick Veiga France	18	1.6k 1.0×	470 0.8×	682 1.6×	291 0.8×	307 0.9×	27	2.2k

Countries citing papers authored by Mathis Wolter

Since Specialization

Citations

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

Fields of papers citing papers by Mathis Wolter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathis Wolter

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Gaifem, Joana, Ana Mendes‐Frias, Mathis Wolter, et al.. (2024). Akkermansia muciniphila and Parabacteroides distasonis synergistically protect from colitis by promoting ILC3 in the gut. mBio. 15(4). e0007824–e0007824. 36 indexed citations

2.

Parrish, Amy, Marie Boudaud, Erica T. Grant, et al.. (2023). Akkermansia muciniphila exacerbates food allergy in fibre-deprived mice. Nature Microbiology. 8(10). 1863–1879. 63 indexed citations

3.

Wolter, Mathis, Erica T. Grant, Marie Boudaud, et al.. (2021). Leveraging diet to engineer the gut microbiome. Nature Reviews Gastroenterology & Hepatology. 18(12). 885–902. 144 indexed citations

4.

Neumann, Mareike, Alex Steimle, Erica T. Grant, et al.. (2021). Deprivation of dietary fiber in specific-pathogen-free mice promotes susceptibility to the intestinal mucosal pathogen Citrobacter rodentium. Gut Microbes. 13(1). 1966263–1966263. 52 indexed citations

5.

Desai, Mahesh S., Anna M. Seekatz, Nicole M. Koropatkin, et al.. (2016). A Dietary Fiber-Deprived Gut Microbiota Degrades the Colonic Mucus Barrier and Enhances Pathogen Susceptibility. Cell. 167(5). 1339–1353.e21. 1977 indexed citations breakdown →

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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