Simon Heilbronner

1.3k total citations · 1 hit paper
34 papers, 910 citations indexed

About

Simon Heilbronner is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Simon Heilbronner has authored 34 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Infectious Diseases and 9 papers in Genetics. Recurrent topics in Simon Heilbronner's work include Antimicrobial Resistance in Staphylococcus (17 papers), Biochemical and Structural Characterization (11 papers) and Bacterial biofilms and quorum sensing (11 papers). Simon Heilbronner is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (17 papers), Biochemical and Structural Characterization (11 papers) and Bacterial biofilms and quorum sensing (11 papers). Simon Heilbronner collaborates with scholars based in Germany, Ireland and United States. Simon Heilbronner's co-authors include Andreas Peschel, Timothy J. Foster, Bernhard Krismer, Heike Brötz‐Oesterhelt, Pietro Speziale, Matthew T. G. Holden, Joan A. Geoghegan, Eric P. Skaar, Julian Parkhill and Andries J. van Tonder and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Simon Heilbronner

32 papers receiving 904 citations

Hit Papers

The microbiome-shaping roles of bacteriocins 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Heilbronner Germany 16 566 435 178 116 106 34 910
Kyu Hong Cho United States 20 695 1.2× 290 0.7× 131 0.7× 101 0.9× 132 1.2× 33 1.2k
Masato Higashide Japan 14 342 0.6× 388 0.9× 115 0.6× 57 0.5× 62 0.6× 22 689
Janet M. Manson New Zealand 11 277 0.5× 329 0.8× 161 0.9× 75 0.6× 73 0.7× 13 679
Allison Griggs United States 8 411 0.7× 548 1.3× 190 1.1× 54 0.5× 69 0.7× 9 944
Patricia Sanchez‐Carballo Germany 13 341 0.6× 293 0.7× 74 0.4× 94 0.8× 83 0.8× 21 844
Nicolas Verneuil France 15 361 0.6× 288 0.7× 107 0.6× 54 0.5× 171 1.6× 22 690
Marcelo Palma Sircili Brazil 17 404 0.7× 427 1.0× 256 1.4× 92 0.8× 202 1.9× 30 1.1k
David McKenney United States 12 627 1.1× 400 0.9× 86 0.5× 121 1.0× 120 1.1× 15 894
André Kriegeskorte Germany 17 596 1.1× 764 1.8× 76 0.4× 91 0.8× 99 0.9× 23 1.0k
Claire Hennequin France 14 441 0.8× 452 1.0× 108 0.6× 39 0.3× 114 1.1× 20 1.0k

Countries citing papers authored by Simon Heilbronner

Since Specialization
Citations

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

Fields of papers citing papers by Simon Heilbronner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Heilbronner

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Heilbronner. A scholar is included among the top collaborators of Simon Heilbronner 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 Simon Heilbronner. Simon Heilbronner 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
2.
Nega, Mulugeta, et al.. (2024). SLUSH peptides of the PSMβ family enable Staphylococcus lugdunensis to use erythrocytes as a sole source of nutrient iron. The FASEB Journal. 38(16). e23881–e23881. 2 indexed citations
3.
Johnson, Matthew D., Laura Camus, Tanja Schneider, et al.. (2024). Staphylococcus epidermidis bacteriocin A37 kills natural competitors with a unique mechanism of action. The ISME Journal. 18(1). 7 indexed citations
4.
Rosenstein, Ralf, et al.. (2024). The Staphylococcus aureus-antagonizing human nasal commensal Staphylococcus lugdunensis depends on siderophore piracy. Microbiome. 12(1). 213–213. 9 indexed citations
5.
Gerlach, David, et al.. (2024). Nasal commensals reduce Staphylococcus aureus proliferation by restricting siderophore availability. The ISME Journal. 18(1). 11 indexed citations
8.
Camus, Laura, et al.. (2023). Genome-scale metabolic models consistently predict in vitro characteristics of Corynebacterium striatum. SHILAP Revista de lepidopterología. 3. 1214074–1214074. 1 indexed citations
9.
Garrett, S, Justin C. Deme, Dorothee Kretschmer, et al.. (2023). A type VII-secreted lipase toxin with reverse domain arrangement. Nature Communications. 14(1). 8438–8438. 10 indexed citations
10.
Flannagan, Ronald S., et al.. (2022). In vivo growth of Staphylococcus lugdunensis is facilitated by the concerted function of heme and non-heme iron acquisition mechanisms. Journal of Biological Chemistry. 298(5). 101823–101823. 11 indexed citations
11.
Du, Xin, Jesper Larsen, Min Li, et al.. (2021). Staphylococcus epidermidis clones express Staphylococcus aureus-type wall teichoic acid to shift from a commensal to pathogen lifestyle. Nature Microbiology. 6(6). 757–768. 34 indexed citations
12.
Heilbronner, Simon. (2021). Staphylococcus lugdunensis. Trends in Microbiology. 29(12). 1143–1145. 6 indexed citations
13.
Heilbronner, Simon, et al.. (2021). Secondary Metabolites Governing Microbiome Interaction of Staphylococcal Pathogens and Commensals. Microbial Physiology. 31(3). 198–216. 18 indexed citations
14.
Heilbronner, Simon, Bernhard Krismer, Heike Brötz‐Oesterhelt, & Andreas Peschel. (2021). The microbiome-shaping roles of bacteriocins. Nature Reviews Microbiology. 19(11). 726–739. 251 indexed citations breakdown →
15.
Heilbronner, Simon & Timothy J. Foster. (2020). Staphylococcus lugdunensis: a Skin Commensal with Invasive Pathogenic Potential. Clinical Microbiology Reviews. 34(2). 66 indexed citations
16.
Holden, Matthew T. G., et al.. (2020). “Gene accordions” cause genotypic and phenotypic heterogeneity in clonal populations of Staphylococcus aureus. Nature Communications. 11(1). 3526–3526. 21 indexed citations
17.
Liesenborghs, Laurens, Marijke Peetermans, Jorien Claes, et al.. (2016). Shear-Resistant Binding to von Willebrand Factor AllowsStaphylococcus lugdunensisto Adhere to the Cardiac Valves and Initiate Endocarditis. The Journal of Infectious Diseases. 213(7). 1148–1156. 36 indexed citations
18.
Heilbronner, Simon, Ian R. Monk, & Timothy J. Foster. (2013). The phage integrase vector pIPI03 allows RecA -independent, site-specific labelling of Staphylococcus lugdunensis strains. Plasmid. 70(3). 377–384. 5 indexed citations
19.
Heilbronner, Simon, Frank Hanses, Ian R. Monk, Pietro Speziale, & Timothy J. Foster. (2013). Sortase A promotes virulence in experimental Staphylococcus lugdunensis endocarditis. Microbiology. 159(Pt_10). 2141–2152. 34 indexed citations
20.
Heilbronner, Simon, Matthew T. G. Holden, Andries J. van Tonder, et al.. (2011). Genome sequence of Staphylococcus lugdunensis N920143 allows identification of putative colonization and virulence factors. FEMS Microbiology Letters. 322(1). 60–67. 85 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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