W D Kobasa
- Epidemiology top 10%
- Infectious Diseases top 10%
- Rheumatology top 10%
- Pharmacology top 10%
- Urology top 5%
- Co-authors
- Donald KayeJerome A. BosciaMatthew E. LevisonElías AbrutynJaime CarrizosaDeborah R. KayeKeith S. KayeOksana M. Korzeniowski
- Topics
- Antibiotics Pharmacokinetics and Efficacy (13 papers)Antimicrobial Resistance in Staphylococcus (11 papers)Bacterial Identification and Susceptibility Testing (10 papers)
- Journals
- Clinical Infectious DiseasesThe American Journal of MedicineThe Journal of Infectious Diseases
- Partner nations
- United StatesBrazil
In The Last Decade
W D Kobasa
22 papers receiving 518 citations
Peers
Comparison fields: 5 of 72
- Epidemiology 350
- Infectious Diseases 144
- Rheumatology 132
- Pharmacology 129
- Urology 116
Countries citing papers authored by W D Kobasa
This map shows the geographic impact of W D Kobasa'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 W D Kobasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W D Kobasa more than expected).
Fields of papers citing papers by W D Kobasa
This network shows the impact of papers produced by W D Kobasa. 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 W D Kobasa. The network helps show where W D Kobasa may publish in the future.
Co-authorship network of co-authors of W D Kobasa
This figure shows the co-authorship network connecting the top 25 collaborators of W D Kobasa. A scholar is included among the top collaborators of W D Kobasa 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 W D Kobasa. W D Kobasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | 153 | |
| 6 | 131 | |
| 7 | 24 | |
| 8 | 9 | |
| 9 | 7 | |
| 10 | 43 | |
| 11 | 13 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 11 | |
| 15 | 50 | |
| 16 | 7 | |
| 17 | 28 | |
| 18 | 11 | |
| 19 | Experimental streptococcal endocarditis. The early vegetation. | 5 |
| 20 | Antagonism between chloramphenicol and penicillin in streptococcal endocarditis in rabbits. | 10 |
About W D Kobasa
W D Kobasa is a scholar working on Clinical Biochemistry, Pharmacology and Parasitology, having authored 22 papers that have together received 585 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (13 papers), Antimicrobial Resistance in Staphylococcus (11 papers) and Bacterial Identification and Susceptibility Testing (10 papers). The work is most often cited by research in Molecular Medicine (91 citations), Urology (116 citations) and Clinical Biochemistry (97 citations). W D Kobasa has collaborated with scholars based in United States and Brazil. Frequent co-authors include Donald Kaye, Jerome A. Boscia, Matthew E. Levison, Elías Abrutyn, Jaime Carrizosa, Deborah R. Kaye, Keith S. Kaye, Oksana M. Korzeniowski, David M. Kaye and Kenneth M. Kaye. Their work appears in journals such as Clinical Infectious Diseases, The American Journal of Medicine and The Journal of Infectious Diseases.
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.