K. Machka
- Infectious Diseases top 1%
- Molecular Biology
- Clinical Biochemistry top 0.5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- Holger StammerGeorg PetersKarsten BeckerChristof von EiffI. BravenyD. MilatovićWalter HeldweinAxel Holstege
- Topics
- Antibiotics Pharmacokinetics and Efficacy (18 papers)Antibiotic Resistance in Bacteria (14 papers)Pneumonia and Respiratory Infections (8 papers)
- Journals
- New England Journal of MedicineJournal of Clinical MicrobiologyAntimicrobial Agents and Chemotherapy
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
K. Machka
29 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Infectious Diseases 1.3k
- Molecular Biology 646
- Clinical Biochemistry 528
- Epidemiology 446
- Public Health, Environmental and Occupational Health 323
Countries citing papers authored by K. Machka
This map shows the geographic impact of K. Machka'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 K. Machka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Machka more than expected).
Fields of papers citing papers by K. Machka
This network shows the impact of papers produced by K. Machka. 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 K. Machka. The network helps show where K. Machka may publish in the future.
Co-authorship network of co-authors of K. Machka
This figure shows the co-authorship network connecting the top 25 collaborators of K. Machka. A scholar is included among the top collaborators of K. Machka 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 K. Machka. K. Machka 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 | Nasal Carriage as a Source ofStaphylococcus aureusBacteremiabreakdown → | 1517 |
| 3 | [Amoxicillin/clavulanic acid in therapy of bacterial infections of the diabetic foot. Results of an observational study]. | 5 |
| 4 | 84 | |
| 5 | 17 | |
| 6 | 0 | |
| 7 | 68 | |
| 8 | 9 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 20 | |
| 13 | 9 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 50 | |
| 17 | 14 | |
| 18 | [In vitro activity of rosoxacin (Win 35 213) against Neisseria gonorrhoeae (author's transl)]. | 3 |
| 19 | 1 | |
| 20 | [A method for testing susceptibility of Haemophilus influenzae to co-trimoxazole (author's transl)]. | 2 |
About K. Machka
K. Machka is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Pharmacology, having authored 35 papers that have together received 2.0k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (18 papers), Antibiotic Resistance in Bacteria (14 papers) and Pneumonia and Respiratory Infections (8 papers). The work is most often cited by research in Clinical Biochemistry (528 citations), Infectious Diseases (1.3k citations) and Microbiology (210 citations). K. Machka has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Holger Stammer, Georg Peters, Karsten Becker, Christof von Eiff, I. Braveny, D. Milatović, Walter Heldwein, Axel Holstege, S. Grüne and Winfried V. Kern. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Microbiology and Antimicrobial Agents and Chemotherapy.
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.