Claudio U. Köser

6.3k total citations · 1 hit paper
49 papers, 2.7k citations indexed

About

Claudio U. Köser is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Claudio U. Köser has authored 49 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Infectious Diseases, 39 papers in Epidemiology and 16 papers in Molecular Medicine. Recurrent topics in Claudio U. Köser's work include Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (34 papers) and Antibiotic Resistance in Bacteria (16 papers). Claudio U. Köser is often cited by papers focused on Tuberculosis Research and Epidemiology (35 papers), Mycobacterium research and diagnosis (34 papers) and Antibiotic Resistance in Bacteria (16 papers). Claudio U. Köser collaborates with scholars based in United Kingdom, Germany and Sweden. Claudio U. Köser's co-authors include Sharon J. Peacock, Matthew J. Ellington, Julian Parkhill, Stephen D. Bentley, Stefan Niemann, Matthew T. G. Holden, Nicholas M. Brown, Edward J. P. Cartwright, Gordon Dougan and Silke Feuerriegel and has published in prestigious journals such as New England Journal of Medicine, The Lancet and PLoS ONE.

In The Last Decade

Claudio U. Köser

47 papers receiving 2.6k citations

Hit Papers

Rapid Whole-Genome Sequencing for Investigation of a Neon... 2012 2026 2016 2021 2012 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rapid Whole-Genome Sequencing for Investigation of a Neonatal MRSA Outbreak
    2012 462 citations Claudio U. Köser, Matthew J. Ellington et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudio U. Köser United Kingdom 23 1.6k 1.3k 937 561 560 49 2.7k
Francesc Coll United Kingdom 26 1.9k 1.1× 1.5k 1.1× 802 0.9× 497 0.9× 345 0.6× 53 2.6k
Anita C. Schürch Netherlands 24 888 0.5× 813 0.6× 815 0.9× 597 1.1× 252 0.5× 42 2.2k
Martin Christner Germany 28 1.1k 0.6× 759 0.6× 897 1.0× 440 0.8× 901 1.6× 68 2.6k
Burkhard Springer Austria 32 2.1k 1.3× 2.2k 1.7× 1.3k 1.4× 600 1.1× 121 0.2× 72 3.9k
Fangyou Yu China 34 1.6k 1.0× 744 0.6× 1.6k 1.7× 1.4k 2.4× 637 1.1× 162 3.6k
Wladimir Sougakoff France 35 2.0k 1.2× 1.8k 1.4× 1.2k 1.3× 1.8k 3.2× 253 0.5× 120 4.1k
E. Grace Smith United Kingdom 22 1.4k 0.8× 1.4k 1.0× 621 0.7× 272 0.5× 163 0.3× 41 2.2k
Elena N. Ilina Russia 23 531 0.3× 681 0.5× 613 0.7× 266 0.5× 427 0.8× 141 1.8k
Linda M. Weigel United States 20 1.0k 0.6× 545 0.4× 901 1.0× 883 1.6× 520 0.9× 30 2.5k
Bernadette Young United Kingdom 16 989 0.6× 552 0.4× 498 0.5× 232 0.4× 262 0.5× 30 1.6k

Countries citing papers authored by Claudio U. Köser

Since Specialization
Citations

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

Fields of papers citing papers by Claudio U. Köser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudio U. Köser. 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 Claudio U. Köser. The network helps show where Claudio U. Köser may publish in the future.

Co-authorship network of co-authors of Claudio U. Köser

This figure shows the co-authorship network connecting the top 25 collaborators of Claudio U. Köser. A scholar is included among the top collaborators of Claudio U. Köser 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 Claudio U. Köser. Claudio U. Köser 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.
Phelan, Jody, Sophia B. Georghiou, David L. Dolinger, et al.. (2025). The ahpC c−54t compensatory mutation is not always a valid surrogate for isoniazid resistance in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 69(6). e0026525–e0026525.
2.
Miotto, Paolo, Daniela María Cirillo, Thomas Schön, & Claudio U. Köser. (2024). The exceptions that prove the rule—a historical view of bedaquiline susceptibility. Genome Medicine. 16(1). 39–39. 2 indexed citations
3.
Mulders, Wim, Matthias Merker, Stefan Niemann, et al.. (2024). Refined understanding of the impact of the Mycobacterium tuberculosis complex diversity on the intrinsic susceptibility to pretomanid. Microbiology Spectrum. 12(3). e0007024–e0007024. 9 indexed citations
4.
Köser, Claudio U.. (2024). More nuance and transparency are needed when setting breakpoints for antimicrobial susceptibility testing of pretomanid. Clinical Microbiology and Infection. 31(5). 692–695.
5.
Wijkander, Maria, Ramona Groenheit, Mikael Mansjö, et al.. (2023). In vitro activity of new combinations of β-lactam and β-lactamase inhibitors against the Mycobacterium tuberculosis complex. Microbiology Spectrum. 11(5). e0178123–e0178123. 2 indexed citations
6.
Vilchèze, Catherine, Jim Werngren, Arnold Bainomugisa, et al.. (2023). Loss-of-function mutations in ndh do not confer delamanid, ethionamide, isoniazid, or pretomanid resistance in Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 68(1). e0109623–e0109623. 2 indexed citations
7.
Maurer, Florian P., Natalia Shubladze, Giorgi Kuchukhidze, et al.. (2022). Diagnostic Capacities for Multidrug-Resistant Tuberculosis in the World Health Organization European Region. Journal of Molecular Diagnostics. 24(11). 1189–1194. 5 indexed citations
8.
Vargas, Roger, Luca Freschi, Andrea Spitaleri, et al.. (2021). Role of Epistasis in Amikacin, Kanamycin, Bedaquiline, and Clofazimine Resistance in Mycobacterium tuberculosis Complex. Antimicrobial Agents and Chemotherapy. 65(11). e0116421–e0116421. 38 indexed citations
9.
10.
Köser, Claudio U., Daniela María Cirillo, & Paolo Miotto. (2020). How To Optimally Combine Genotypic and Phenotypic Drug Susceptibility Testing Methods for Pyrazinamide. Antimicrobial Agents and Chemotherapy. 64(9). 15 indexed citations
11.
Dean, Anna, Matteo Zignol, Andrea Maurizio Cabibbe, et al.. (2020). Prevalence and genetic profiles of isoniazid resistance in tuberculosis patients: A multicountry analysis of cross-sectional data. PLoS Medicine. 17(1). e1003008–e1003008. 80 indexed citations
12.
Loiseau, Chloé, Daniela Brites, Irmgard Moser, et al.. (2019). Revised Interpretation of the Hain Lifescience GenoType MTBC To Differentiate Mycobacterium canettii and Members of the Mycobacterium tuberculosis Complex. Antimicrobial Agents and Chemotherapy. 63(6). 15 indexed citations
13.
Ghodousi, Arash, Elisa Tagliani, Stefan Niemann, et al.. (2019). Isoniazid Resistance in Mycobacterium tuberculosis Is a Heterogeneous Phenotype Composed of Overlapping MIC Distributions with Different Underlying Resistance Mechanisms. Antimicrobial Agents and Chemotherapy. 63(7). 25 indexed citations
14.
Grandjean, Louis, Robert H. Gilman, Tomotada Iwamoto, et al.. (2017). Convergent evolution and topologically disruptive polymorphisms among multidrug-resistant tuberculosis in Peru. PLoS ONE. 12(12). e0189838–e0189838. 18 indexed citations
15.
Heyckendorf, Jan, Sönke Andres, Claudio U. Köser, et al.. (2017). What Is Resistance? Impact of Phenotypic versus Molecular Drug Resistance Testing on Therapy for Multi- and Extensively Drug-Resistant Tuberculosis. Antimicrobial Agents and Chemotherapy. 62(2). 80 indexed citations
16.
Yu, Xia, Guirong Wang, Suting Chen, et al.. (2016). Wild-Type and Non-Wild-Type Mycobacterium tuberculosis MIC Distributions for the Novel Fluoroquinolone Antofloxacin Compared with Those for Ofloxacin, Levofloxacin, and Moxifloxacin. Antimicrobial Agents and Chemotherapy. 60(9). 5232–5237. 18 indexed citations
17.
Aung, Htin, Danesh Moradigaravand, Claudio U. Köser, et al.. (2016). Whole-genome sequencing of multidrug-resistant Mycobacterium tuberculosis isolates from Myanmar. Journal of Global Antimicrobial Resistance. 6. 113–117. 17 indexed citations
18.
Moradigaravand, Danesh, Louis Grandjean, Elena Martínez, et al.. (2016). dfrA thyA Double Deletion in para -Aminosalicylic Acid-Resistant Mycobacterium tuberculosis Beijing Strains. Antimicrobial Agents and Chemotherapy. 60(6). 3864–3867. 15 indexed citations
19.
Reuter, Sandra, Timothy G. Harrison, Claudio U. Köser, et al.. (2013). A pilot study of rapid whole-genome sequencing for the investigation of a Legionella outbreak. BMJ Open. 3(1). e002175–e002175. 80 indexed citations
20.
Niemann, Stefan, Claudio U. Köser, Sébastien Gagneux, et al.. (2009). Genomic Diversity among Drug Sensitive and Multidrug Resistant Isolates of Mycobacterium tuberculosis with Identical DNA Fingerprints. PLoS ONE. 4(10). e7407–e7407. 113 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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