Bruno Pichon

16.2k total citations
112 papers, 3.8k citations indexed

About

Bruno Pichon is a scholar working on Infectious Diseases, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Bruno Pichon has authored 112 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Infectious Diseases, 43 papers in Molecular Biology and 27 papers in Clinical Biochemistry. Recurrent topics in Bruno Pichon's work include Antimicrobial Resistance in Staphylococcus (48 papers), Bacterial Identification and Susceptibility Testing (27 papers) and Bacterial biofilms and quorum sensing (21 papers). Bruno Pichon is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (48 papers), Bacterial Identification and Susceptibility Testing (27 papers) and Bacterial biofilms and quorum sensing (21 papers). Bruno Pichon collaborates with scholars based in United Kingdom, Belgium and France. Bruno Pichon's co-authors include Angela Kearns, Daniel Christophe, Jeremy Gray, Christiane Christophe-Hobertus, Giles Edwards, Mark A. Holmes, Christopher Teale, Frédéric Laurent, Robert Skov and Anders Rhod Larsen and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Bruno Pichon

108 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Pichon United Kingdom 34 1.8k 1.3k 746 536 468 112 3.8k
Dennis Schrøder Hansen Denmark 29 559 0.3× 506 0.4× 392 0.5× 831 1.6× 274 0.6× 71 3.5k
Steffen Porwollik United States 45 890 0.5× 2.0k 1.5× 80 0.1× 191 0.4× 87 0.2× 120 5.9k
Kentaro Nagamine Japan 36 606 0.3× 2.0k 1.5× 130 0.2× 548 1.0× 2.1k 4.6× 132 7.6k
Joe Pogliano United States 40 1.1k 0.6× 3.4k 2.6× 455 0.6× 493 0.9× 18 0.0× 102 6.0k
Anthony M. Smith South Africa 36 1.1k 0.6× 862 0.7× 111 0.1× 903 1.7× 26 0.1× 121 3.8k
J. A. Hinton United Kingdom 39 494 0.3× 539 0.4× 56 0.1× 138 0.3× 1.3k 2.7× 255 5.5k
Donald A. Morrison United States 52 2.8k 1.6× 3.9k 3.0× 1.1k 1.5× 3.7k 7.0× 77 0.2× 166 9.6k
Darrell L. Peterson United States 39 814 0.5× 1.2k 0.9× 65 0.1× 1.9k 3.6× 73 0.2× 176 5.2k
Olivier Tenaillon France 43 693 0.4× 3.6k 2.7× 109 0.1× 414 0.8× 20 0.0× 92 7.2k
Wiep Klaas Smits Netherlands 30 1.5k 0.9× 2.4k 1.8× 71 0.1× 548 1.0× 14 0.0× 86 4.1k

Countries citing papers authored by Bruno Pichon

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Pichon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Pichon

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Pichon. A scholar is included among the top collaborators of Bruno Pichon 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 Bruno Pichon. Bruno Pichon 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.
Wan, Yu, Rachel Pike, Danièle Meunier, et al.. (2025). Complete genome assemblies and antibiograms of 22 Staphylococcus capitis isolates. BMC Genomic Data. 26(1). 12–12.
2.
Richard, Damien, Brenda Kwambana-Adams, Karen Broughton, et al.. (2024). Population genomics of Streptococcus mitis in UK and Ireland bloodstream infection and infective endocarditis cases. Nature Communications. 15(1). 7812–7812. 2 indexed citations
4.
Paranthaman, Karthik, Allegra Wilson, Neville Q. Verlander, et al.. (2023). Trends in coagulase-negative staphylococci (CoNS), England, 2010–2021. Access Microbiology. 5(6). 5 indexed citations
5.
Pichon, Bruno, Catheline Vilain, Catharina Olsen, et al.. (2023). Comprehensive evaluation of the implementation of episignatures for diagnosis of neurodevelopmental disorders (NDDs). Human Genetics. 142(12). 1721–1735. 3 indexed citations
6.
Collin, Simon M., Rebecca Guy, M. Ganner, et al.. (2023). Is Panton–Valentine leucocidin (PVL) toxin associated with poor clinical outcomes in patients with community-acquired Staphylococcus aureus bacteraemia?. Journal of Medical Microbiology. 72(4). 3 indexed citations
7.
Wan, Yu, M. Ganner, Derren Ready, et al.. (2023). Whole-genome sequencing reveals widespread presence of Staphylococcus capitis NRCS-A clone in neonatal units across the United Kingdom. Journal of Infection. 87(3). 210–219. 3 indexed citations
8.
McFall, S., et al.. (2023). Emergence and control of an outbreak of PVL-positive MRSA in a UK-based maternity setting. Journal of Hospital Infection. 149. 184–188. 3 indexed citations
10.
Creevey, O. L., F. Grundahl, F. Thévenin, et al.. (2019). First detection of oscillations in the Halo giant HD 122563: Validation of seismic scaling relations and new parameters. Springer Link (Chiba Institute of Technology). 9 indexed citations
11.
Cartwright, Edward J. P., Gavin K. Paterson, Kathy E. Raven, et al.. (2013). Use of Vitek 2 Antimicrobial Susceptibility Profile To Identify mecC in Methicillin-Resistant Staphylococcus aureus. Journal of Clinical Microbiology. 51(8). 2732–2734. 44 indexed citations
12.
Turner, Claire E., K. McGregor, Frances Davies, et al.. (2012). Superantigenic Activity of emm3 Streptococcus pyogenes Is Abrogated by a Conserved, Naturally Occurring smeZ Mutation. PLoS ONE. 7(10). e46376–e46376. 9 indexed citations
13.
Jefferies, Johanna M., Calum Johnston, Lea‐Ann S. Kirkham, et al.. (2007). Presence of Nonhemolytic Pneumolysin in Serotypes ofStreptococcus pneumoniaeAssociated with Disease Outbreaks. The Journal of Infectious Diseases. 196(6). 936–944. 76 indexed citations
14.
Pichon, Bruno, et al.. (2006). Pathogens and Host DNA in Ixodes ricinus Nymphal Ticks from a German Forest. Vector-Borne and Zoonotic Diseases. 6(4). 382–387. 64 indexed citations
15.
Pichon, Bruno, Mark Rogers, Damian Egan, & Jeremy Gray. (2005). Blood-Meal Analysis for the Identification of Reservoir Hosts of Tick-Borne Pathogens in Ireland. Vector-Borne and Zoonotic Diseases. 5(2). 172–180. 67 indexed citations
16.
Pichon, Bruno, Vincent Taelman, Eric Bellefroid, & Daniel Christophe. (2004). Transcriptional repression by the bHLH-Orange factor XHRT1 does not involve the C-terminal YRPW motif. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1680(1). 46–52. 7 indexed citations
18.
Pouillon, Valérie, Bruno Pichon, Alena Donda, & Daniel Christophe. (1998). TTF-2 Does Not Appear to Be a Key Mediator of the Effect of Cyclic AMP on Thyroglobulin Gene Transcription in Primary Cultured Dog Thyrocytes. Biochemical and Biophysical Research Communications. 242(2). 327–331. 8 indexed citations
19.
Pichon, Bruno, et al.. (1996). The cAMP pathway markedly induces the NGFI-B expression in dog thyrocytes in primary culture. Journal of Endocrinological Investigation. 19. 49. 1 indexed citations
20.
Pichon, Bruno. (1985). Helium detonation in pancake stars. A&A. 145(2). 387–390. 2 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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