Clément Vulin

809 total citations
18 papers, 487 citations indexed

About

Clément Vulin is a scholar working on Infectious Diseases, Molecular Biology and Genetics. According to data from OpenAlex, Clément Vulin has authored 18 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 8 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Clément Vulin's work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Evolution and Genetic Dynamics (3 papers). Clément Vulin is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (5 papers) and Evolution and Genetic Dynamics (3 papers). Clément Vulin collaborates with scholars based in Switzerland, United States and France. Clément Vulin's co-authors include Annelies S. Zinkernagel, Martin Ackermann, Markus Huemer, Nadja Leimer, Mathilde Boumasmoud, Susan Schlegel, Daniel J. Kiviet, Srikanth Mairpady Shambat, Stefany Moreno-Gámez and Pascal Hersen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Scientific Reports.

In The Last Decade

Clément Vulin

16 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clément Vulin Switzerland 12 253 129 126 70 54 18 487
Stephanie T. Stengel Germany 6 274 1.1× 145 1.1× 94 0.7× 72 1.0× 47 0.9× 8 489
Ameya A. Mashruwala United States 15 516 2.0× 214 1.7× 116 0.9× 41 0.6× 67 1.2× 19 704
Andreia C. Tavares Portugal 8 290 1.1× 144 1.1× 233 1.8× 66 0.9× 47 0.9× 8 513
Zhibiao Fu United States 11 370 1.5× 250 1.9× 218 1.7× 108 1.5× 38 0.7× 18 575
Marcel Prax Germany 8 208 0.8× 102 0.8× 116 0.9× 60 0.9× 12 0.2× 14 340
Annie I. Chen United States 10 208 0.8× 77 0.6× 62 0.5× 39 0.6× 18 0.3× 10 360
Mathilde Boumasmoud Switzerland 8 123 0.5× 90 0.7× 48 0.4× 50 0.7× 28 0.5× 14 263
Benjamin Mielich‐Süss Germany 9 380 1.5× 105 0.8× 175 1.4× 67 1.0× 24 0.4× 10 536
Yunfan Fan United States 9 318 1.3× 81 0.6× 58 0.5× 94 1.3× 62 1.1× 20 499
Melinda R. Grosser United States 9 265 1.0× 155 1.2× 62 0.5× 58 0.8× 14 0.3× 15 495

Countries citing papers authored by Clément Vulin

Since Specialization
Citations

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

Fields of papers citing papers by Clément Vulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Vulin

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

All Works

18 of 18 papers shown
1.
Vulin, Clément, et al.. (2024). Substrate complexity buffers negative interactions in a synthetic community of leaf litter degraders. FEMS Microbiology Ecology. 100(8).
2.
Huemer, Markus, Srikanth Mairpady Shambat, Sandro F. F. Pereira, et al.. (2023). Serine-threonine phosphoregulation by PknB and Stp contributes to quiescence and antibiotic tolerance in Staphylococcus aureus. Science Signaling. 16(766). eabj8194–eabj8194. 11 indexed citations
3.
Haunreiter, Vanina Dengler, Federica Andreoni, Clément Vulin, et al.. (2023). C-di-AMP levels modulate Staphylococcus aureus cell wall thickness, response to oxidative stress, and antibiotic resistance and tolerance. Microbiology Spectrum. 11(6). e0278823–e0278823. 5 indexed citations
4.
Vulin, Clément, et al.. (2023). Antibacterial Neutrophil Effector Response: Ex Vivo Quantification of Regulated Cell Death Associated with Extracellular Trap Release. Methods in molecular biology. 2674. 235–250. 1 indexed citations
5.
Shambat, Srikanth Mairpady, Alejandro Gómez-Mejía, Markus Huemer, et al.. (2022). Hyperinflammatory environment drives dysfunctional myeloid cell effector response to bacterial challenge in COVID-19. PLoS Pathogens. 18(1). e1010176–e1010176. 19 indexed citations
6.
Boumasmoud, Mathilde, Srikanth Mairpady Shambat, Clément Vulin, et al.. (2022). Quantification of within-patient Staphylococcus aureus phenotypic heterogeneity as a proxy for the presence of persisters across clinical presentations. Clinical Microbiology and Infection. 28(7). 1022.e1–1022.e7. 14 indexed citations
7.
Huemer, Markus, Srikanth Mairpady Shambat, Sandra Söderholm, et al.. (2021). Molecular reprogramming and phenotype switching in Staphylococcus aureus lead to high antibiotic persistence and affect therapy success. Proceedings of the National Academy of Sciences. 118(7). 72 indexed citations
8.
Shambat, Srikanth Mairpady, Clément Vulin, Sylvia Hoeller, et al.. (2021). Blunted sFasL signalling exacerbates TNF‐driven neutrophil necroptosis in critically ill COVID‐19 patients. Clinical & Translational Immunology. 10(12). e1357–e1357. 24 indexed citations
10.
Boumasmoud, Mathilde, et al.. (2020). Efficient microbial colony growth dynamics quantification with ColTapp, an automated image analysis application. Scientific Reports. 10(1). 16084–16084. 39 indexed citations
11.
Moreno-Gámez, Stefany, Daniel J. Kiviet, Clément Vulin, et al.. (2020). Wide lag time distributions break a trade-off between reproduction and survival in bacteria. Proceedings of the National Academy of Sciences. 117(31). 18729–18736. 65 indexed citations
12.
Haunreiter, Vanina Dengler, Mathilde Boumasmoud, Nadja Leimer, et al.. (2019). In-host evolution of Staphylococcus epidermidis in a pacemaker-associated endocarditis resulting in increased antibiotic tolerance. Nature Communications. 10(1). 1149–1149. 68 indexed citations
13.
Vulin, Clément, Mislav Acman, Xiaohu Song, et al.. (2019). A microfluidic device for inferring metabolic landscapes in yeast monolayer colonies. eLife. 8. 20 indexed citations
14.
Lugagne, Jean‐Baptiste, et al.. (2018). Identification of individual cells from z-stacks of bright-field microscopy images. Scientific Reports. 8(1). 11455–11455. 17 indexed citations
15.
Vulin, Clément, Nadja Leimer, Markus Huemer, Martin Ackermann, & Annelies S. Zinkernagel. (2018). Prolonged bacterial lag time results in small colony variants that represent a sub-population of persisters. Nature Communications. 9(1). 4074–4074. 112 indexed citations
16.
Vulin, Clément, et al.. (2014). Micropatterned Porous Membranes for Combinatorial Cell-Based Assays. Methods in cell biology. 121. 155–169. 3 indexed citations
17.
Vulin, Clément & Pascal Hersen. (2014). Growing Yeast into Cylindrical Colonies. Biophysical Journal. 106(2). 594a–595a. 1 indexed citations
18.
Vulin, Clément, Jean-Marc Di Meglio, Ariel B. Lindner, et al.. (2014). Growing Yeast into Cylindrical Colonies. Biophysical Journal. 106(10). 2214–2221. 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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