Markus Arnoldini

2.6k total citations
20 papers, 1.1k citations indexed

About

Markus Arnoldini is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Markus Arnoldini has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Infectious Diseases and 5 papers in Genetics. Recurrent topics in Markus Arnoldini's work include Gut microbiota and health (8 papers), Evolution and Genetic Dynamics (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Markus Arnoldini is often cited by papers focused on Gut microbiota and health (8 papers), Evolution and Genetic Dynamics (4 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Markus Arnoldini collaborates with scholars based in Switzerland, United States and France. Markus Arnoldini's co-authors include Martin Ackermann, Jonas Cremer, Terence Hwa, Wolf‐Dietrich Hardt, Médéric Diard, Sebastian Bonhoeffer, Ima Avalos Vizcarra, Matthias Heinemann, Alexander Sturm and Arndt Benecke and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Markus Arnoldini

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Arnoldini Switzerland 12 531 335 231 221 164 20 1.1k
Yue Shan China 15 734 1.4× 433 1.3× 174 0.8× 105 0.5× 165 1.0× 44 1.3k
Suzanne R. Kalb United States 31 616 1.2× 176 0.5× 247 1.1× 97 0.4× 151 0.9× 69 2.3k
Mingxu Zhou China 14 331 0.6× 172 0.5× 284 1.2× 140 0.6× 112 0.7× 37 860
Darren J. Smalley United States 10 769 1.4× 374 1.1× 319 1.4× 281 1.3× 243 1.5× 12 1.2k
Don L. Tucker United States 12 748 1.4× 476 1.4× 328 1.4× 256 1.2× 159 1.0× 15 1.3k
Colleen T. O’Loughlin United States 7 1.0k 2.0× 237 0.7× 155 0.7× 144 0.7× 162 1.0× 7 1.3k
Sooyeon Song United States 19 629 1.2× 368 1.1× 250 1.1× 162 0.7× 91 0.6× 43 1.1k
Martina Sassone‐Corsi United States 10 713 1.3× 150 0.4× 129 0.6× 377 1.7× 261 1.6× 11 1.2k
Francesco Celandroni Italy 25 1.0k 1.9× 247 0.7× 149 0.6× 520 2.4× 177 1.1× 67 1.7k
Gui‐Rong Liu China 21 509 1.0× 101 0.3× 295 1.3× 498 2.3× 138 0.8× 66 1.3k

Countries citing papers authored by Markus Arnoldini

Since Specialization
Citations

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

Fields of papers citing papers by Markus Arnoldini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Arnoldini

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Arnoldini. A scholar is included among the top collaborators of Markus Arnoldini 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 Markus Arnoldini. Markus Arnoldini 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.
Arnoldini, Markus, et al.. (2025). Quantifying the varying harvest of fermentation products from the human gut microbiota. Cell. 188(19). 5332–5342.e16. 3 indexed citations
2.
Roman, Cosmin, et al.. (2024). Experimental In Vitro Microfluidic Calorimetric Chip Data towards the Early Detection of Infection on Implant Surfaces. Sensors. 24(3). 1019–1019. 3 indexed citations
3.
4.
Hoces, Daniel, Markus Arnoldini, Claudia Moresi, et al.. (2023). Fitness advantage of Bacteroides thetaiotaomicron capsular polysaccharide in the mouse gut depends on the resident microbiota. eLife. 12. 9 indexed citations
5.
Lan, Jiayi, et al.. (2023). Non-invasive monitoring of microbiota and host metabolism using secondary electrospray ionization-mass spectrometry. Cell Reports Methods. 3(8). 100539–100539. 6 indexed citations
6.
Hoces, Daniel, Jiayi Lan, Wenfei Sun, et al.. (2022). Metabolic reconstitution of germ-free mice by a gnotobiotic microbiota varies over the circadian cycle. PLoS Biology. 20(9). e3001743–e3001743. 21 indexed citations
7.
Gorji, Hossein, et al.. (2021). Dynamic modelling to identify mitigation strategies for the COVID-19 pandemic. Swiss Medical Weekly. 151(1718). w20487–w20487. 7 indexed citations
8.
Gorji, Hossein, et al.. (2021). Smart investment of virus RNA testing resources to enhance Covid-19 mitigation. PLoS ONE. 16(11). e0259018–e0259018. 2 indexed citations
9.
Hoces, Daniel, Markus Arnoldini, Médéric Diard, Claude Loverdo, & Emma Slack. (2019). Growing, evolving and sticking in a flowing environment: understanding IgA interactions with bacteria in the gut. Immunology. 159(1). 52–62. 43 indexed citations
10.
Arnoldini, Markus, Jonas Cremer, & Terence Hwa. (2018). Bacterial growth, flow, and mixing shape human gut microbiota density and composition. Gut Microbes. 9(6). 1–8. 53 indexed citations
11.
Cremer, Jonas, Markus Arnoldini, & Terence Hwa. (2017). Effect of water flow and chemical environment on microbiota growth and composition in the human colon. Proceedings of the National Academy of Sciences. 114(25). 6438–6443. 106 indexed citations
12.
Vizcarra, Ima Avalos, Vahid Hosseini, Philip Kollmannsberger, et al.. (2016). How type 1 fimbriae help Escherichia coli to evade extracellular antibiotics. Scientific Reports. 6(1). 18109–18109. 54 indexed citations
13.
Boehm, Alex, et al.. (2016). Genetic Manipulation of Glycogen Allocation Affects Replicative Lifespan in E. coli. PLoS Genetics. 12(4). e1005974–e1005974. 10 indexed citations
14.
Cremer, Jonas, Igor Šegota, Markus Arnoldini, et al.. (2016). Effect of flow and peristaltic mixing on bacterial growth in a gut-like channel. Proceedings of the National Academy of Sciences. 113(41). 11414–11419. 111 indexed citations
15.
Diard, Médéric, Mikael E. Sellin, Tamas Dolowschiak, et al.. (2014). Antibiotic Treatment Selects for Cooperative Virulence of Salmonella Typhimurium. Current Biology. 24(17). 2000–2005. 74 indexed citations
16.
Ocampo, Paolo, Viktória Lázár, Balázs Papp, et al.. (2014). Antagonism between Bacteriostatic and Bactericidal Antibiotics Is Prevalent. Antimicrobial Agents and Chemotherapy. 58(8). 4573–4582. 203 indexed citations
17.
Arnoldini, Markus, Ima Avalos Vizcarra, Rafael Peña‐Miller, et al.. (2014). Bistable Expression of Virulence Genes in Salmonella Leads to the Formation of an Antibiotic-Tolerant Subpopulation. PLoS Biology. 12(8). e1001928–e1001928. 152 indexed citations
18.
Arnoldini, Markus, Tobias Heck, Alfonso Blanco, & Frederik Hammes. (2013). Monitoring of Dynamic Microbiological Processes Using Real-Time Flow Cytometry. PLoS ONE. 8(11). e80117–e80117. 34 indexed citations
19.
Arnoldini, Markus, Rafal Mostowy, Sebastian Bonhoeffer, & Martin Ackermann. (2012). Evolution of Stress Response in the Face of Unreliable Environmental Signals. PLoS Computational Biology. 8(8). e1002627–e1002627. 48 indexed citations
20.
Sturm, Alexander, Matthias Heinemann, Markus Arnoldini, et al.. (2011). The Cost of Virulence: Retarded Growth of Salmonella Typhimurium Cells Expressing Type III Secretion System 1. PLoS Pathogens. 7(7). e1002143–e1002143. 194 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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