Erika Matuschek
- Molecular Medicine top 0.5%
- Clinical Biochemistry top 1%
- Epidemiology top 10%
- Molecular Biology
- Pharmacology top 5%
- Co-authors
- Gunnar KahlmeterDerek F. J. BrownJenny ÅhmanUlf SvanbergCarol WebsterChristian G. GiskeArnfinn SundsfjordDagfinn Skaare
- Topics
- Antibiotic Resistance in Bacteria (24 papers)Bacterial Identification and Susceptibility Testing (18 papers)Antibiotics Pharmacokinetics and Efficacy (10 papers)
In The Last Decade
Erika Matuschek
47 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Medicine 613
- Clinical Biochemistry 426
- Epidemiology 396
- Molecular Biology 320
- Pharmacology 288
Countries citing papers authored by Erika Matuschek
This map shows the geographic impact of Erika Matuschek'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 Erika Matuschek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erika Matuschek more than expected).
Fields of papers citing papers by Erika Matuschek
This network shows the impact of papers produced by Erika Matuschek. 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 Erika Matuschek. The network helps show where Erika Matuschek may publish in the future.
Co-authorship network of co-authors of Erika Matuschek
This figure shows the co-authorship network connecting the top 25 collaborators of Erika Matuschek. A scholar is included among the top collaborators of Erika Matuschek 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 Erika Matuschek. Erika Matuschek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 45 | |
| 9 | 16 | |
| 10 | 22 | |
| 11 | 3 | |
| 12 | 67 | |
| 13 | 11 | |
| 14 | 16 | |
| 15 | 32 | |
| 16 | 9 | |
| 17 | 68 | |
| 18 | 5 | |
| 19 | Development of the EUCAST disk diffusion antimicrobial susceptibility testing method and its implementation in routine microbiology laboratoriesbreakdown → | 634 |
| 20 | The Brucella blood agar disc diffusion antimicrobial susceptibility testing - reproducibility results for Clostridium difficile ATCC 700057 | 1 |
About Erika Matuschek
Erika Matuschek is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 52 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Bacterial Identification and Susceptibility Testing (18 papers) and Antibiotics Pharmacokinetics and Efficacy (10 papers). The work is most often cited by research in Molecular Medicine (613 citations), Applied Microbiology and Biotechnology (185 citations) and Clinical Biochemistry (426 citations). Erika Matuschek has collaborated with scholars based in Sweden, Denmark and Norway. Frequent co-authors include Gunnar Kahlmeter, Derek F. J. Brown, Jenny Åhman, Ulf Svanberg, Carol Webster, Christian G. Giske, Arnfinn Sundsfjord, Dagfinn Skaare, Bjørn‐Erik Kristiansen and Yoshinori Yamano. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of Clinical Microbiology.
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.