Henrik Westh

14.9k total citations · 1 hit paper
202 papers, 7.6k citations indexed

About

Henrik Westh is a scholar working on Infectious Diseases, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Henrik Westh has authored 202 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Infectious Diseases, 76 papers in Clinical Biochemistry and 61 papers in Epidemiology. Recurrent topics in Henrik Westh's work include Antimicrobial Resistance in Staphylococcus (114 papers), Bacterial Identification and Susceptibility Testing (76 papers) and Bacterial biofilms and quorum sensing (36 papers). Henrik Westh is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (114 papers), Bacterial Identification and Susceptibility Testing (76 papers) and Bacterial biofilms and quorum sensing (36 papers). Henrik Westh collaborates with scholars based in Denmark, United States and Portugal. Henrik Westh's co-authors include Mette Damkjær Bartels, Vibeke Thamdrup Rosdahl, Hermı́nia de Lencastre, Robert Skov, Anders Rhod Larsen, Peder Worning, Kit Boye, Angela Kearns, Jesper Boye Nielsen and K. Boye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Henrik Westh

192 papers receiving 7.3k citations

Hit Papers

Meticillin-resistant Stap... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henrik Westh Denmark 47 4.7k 2.9k 2.5k 1.5k 898 202 7.6k
Robert Skov Denmark 58 6.6k 1.4× 3.7k 1.3× 3.3k 1.3× 1.5k 1.0× 1.1k 1.2× 198 9.4k
Olivier Denis Belgium 51 4.8k 1.0× 2.8k 1.0× 1.9k 0.7× 2.1k 1.4× 605 0.7× 214 7.8k
Franklin D. Lowy United States 43 4.0k 0.8× 2.6k 0.9× 1.5k 0.6× 991 0.6× 920 1.0× 94 7.0k
Holger Rohde Germany 49 3.7k 0.8× 4.7k 1.6× 1.5k 0.6× 1.3k 0.8× 681 0.8× 265 9.0k
Gordon L. Archer United States 52 5.5k 1.2× 3.5k 1.2× 2.3k 0.9× 1.3k 0.9× 771 0.9× 103 7.7k
D. Ashley Robinson United States 37 5.2k 1.1× 3.4k 1.2× 2.4k 0.9× 1.2k 0.8× 1.1k 1.2× 104 7.5k
Geoffrey W. Coombs Australia 41 5.1k 1.1× 3.0k 1.0× 3.0k 1.2× 1.2k 0.8× 1.2k 1.3× 208 6.9k
Paul D. Fey United States 48 4.5k 1.0× 4.2k 1.5× 1.3k 0.5× 2.6k 1.7× 626 0.7× 137 10.3k
Carey‐Ann D. Burnham United States 50 3.4k 0.7× 2.2k 0.8× 2.3k 0.9× 2.9k 1.9× 980 1.1× 300 8.6k
G.L. French United Kingdom 48 4.2k 0.9× 1.6k 0.6× 1.7k 0.7× 1.7k 1.1× 857 1.0× 168 8.2k

Countries citing papers authored by Henrik Westh

Since Specialization
Citations

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

Fields of papers citing papers by Henrik Westh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henrik Westh

This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Westh. A scholar is included among the top collaborators of Henrik Westh 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 Henrik Westh. Henrik Westh 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.
Hertz, Frederik Boëtius, Karen Leth Nielsen, Helle Krogh Johansen, et al.. (2025). Genetic Variation in the blaZ Gene Leading to the BORSA Phenotype in Staphylococcus aureus. Antibiotics. 14(5). 449–449.
2.
Fonnes, Siv, Sarah Mollerup, Sarah Juel Paulsen, et al.. (2024). The microbiome of the appendix differs in patients with and without appendicitis: A prospective cohort study. Surgery. 175(6). 1482–1488. 1 indexed citations
3.
Westergaard, David, Agnete Troen Lundgaard, Kilian Vomstein, et al.. (2024). Immune changes in pregnancy: associations with pre-existing conditions and obstetrical complications at the 20th gestational week—a prospective cohort study. BMC Medicine. 22(1). 583–583. 2 indexed citations
4.
Mortensen, Bent Ole Gram, Kilian Vomstein, Henrik Westh, et al.. (2023). O-264 Vaginal Microbiota Transplantation (VMT) for treatment of vaginal dysbiosis without the use of antibiotics – A Randomized Controlled Trial in healthy women with vaginal dysbiosis. Human Reproduction. 38(Supplement_1). 1 indexed citations
5.
6.
Lauritsen, Mette Petri, Uffe Vest Schneider, Anne‐Bine Skytte, et al.. (2023). The impact of acute SARS‐CoV‐2 on testicular function including insulin‐like factor 3 (INSL3) in men with mild COVID‐19: A longitudinal study. Andrology. 12(2). 437–446. 3 indexed citations
7.
Lerche, Christian Johann, Martin Schou Pedersen, Nikolai Kirkby, et al.. (2022). Emergence of circulating influenza A H3N2 viruses with genetic drift in the matrix gene: be alert of false‐negative test results. Apmis. 130(10). 612–617. 2 indexed citations
8.
Rebelo, Ana Rita, Tobias Ibfelt, Valeria Bortolaia, et al.. (2022). One Day in Denmark: Nationwide point-prevalence survey of human bacterial isolates and comparison of classical and whole-genome sequence-based species identification methods. PLoS ONE. 17(2). e0261999–e0261999. 9 indexed citations
9.
Egan, Sarah A., Anna C. Shore, Sarah Mollerup, et al.. (2021). Genomic analysis of 600 vancomycin-resistant Enterococcus faecium reveals a high prevalence of ST80 and spread of similar vanA regions via IS1216E and plasmid transfer in diverse genetic lineages in Ireland. Journal of Antimicrobial Chemotherapy. 77(2). 320–330. 30 indexed citations
10.
Westh, Henrik, et al.. (2021). Prevalence of MRSA nasal carriage among pregnant women in Copenhagen. PLoS ONE. 16(1). e0246343–e0246343. 7 indexed citations
11.
Hansen, Katrine Hartung, et al.. (2019). Resistance to piperacillin/tazobactam in Escherichia coli resulting from extensive IS26-associated gene amplification of blaTEM-1. Journal of Antimicrobial Chemotherapy. 74(11). 3179–3183. 42 indexed citations
13.
Cámara, Jordi, Meritxell Cubero, Antonio J. Martín-Galiano, et al.. (2018). Evolution of the β-lactam-resistant Streptococcus pneumoniae PMEN3 clone over a 30 year period in Barcelona, Spain. Journal of Antimicrobial Chemotherapy. 73(11). 2941–2951. 20 indexed citations
14.
Rolo, Joana, Peder Worning, Jesper Boye Nielsen, et al.. (2017). Evidence for the evolutionary steps leading to mecA-mediated β-lactam resistance in staphylococci. PLoS Genetics. 13(4). e1006674–e1006674. 61 indexed citations
15.
Faria, Nuno A., Teresa Conceição, Maria Miragaia, et al.. (2014). Nasal Carriage of Methicillin Resistant Staphylococci. Microbial Drug Resistance. 20(2). 108–117. 15 indexed citations
16.
Strommenger, Birgit, Mette Damkjær Bartels, Franziska Layer, et al.. (2013). Evolution of methicillin-resistant Staphylococcus aureus towards increasing resistance. Journal of Antimicrobial Chemotherapy. 69(3). 616–622. 47 indexed citations
18.
Balslev, Ulla, et al.. (2005). An Outbreak of Borderline Oxacillin-Resistant Staphylococcus aureus (BORSA) in a Dermatological Unit. Microbial Drug Resistance. 11(1). 78–81. 29 indexed citations
20.
Westh, Henrik, et al.. (2004). An International Multicenter Study of Antimicrobial Consumption and Resistance in Staphylococcus aureus Isolates from 15 Hospitals in 14 Countries. Microbial Drug Resistance. 10(2). 169–176. 163 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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