Markus G. Pruszydlo
- Geriatrics and Gerontology top 2%
- Health Information Management top 1%
- Pediatrics, Perinatology and Child Health top 10%
- Surgery
- Speech and Hearing top 5%
- Co-authors
- Walter E. HaefeliRenate QuinzlerJens KaltschmidtThilo BertscheHanna M. SeidlingI. Walter‐SackChristian SengerJohannes Pfaff
- Topics
- Pharmaceutical Practices and Patient Outcomes (7 papers)Pharmaceutical studies and practices (5 papers)Electronic Health Records Systems (4 papers)
- Journals
- Intensive Care MedicineJournal of the American Medical Informatics AssociationBritish Journal of Clinical Pharmacology
- Partner nations
- GermanyUnited States
In The Last Decade
Markus G. Pruszydlo
12 papers receiving 455 citations
Peers
Comparison fields: 5 of 90
- Geriatrics and Gerontology 166
- Health Information Management 124
- Pediatrics, Perinatology and Child Health 120
- Surgery 96
- Speech and Hearing 59
Countries citing papers authored by Markus G. Pruszydlo
This map shows the geographic impact of Markus G. Pruszydlo'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 Markus G. Pruszydlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus G. Pruszydlo more than expected).
Fields of papers citing papers by Markus G. Pruszydlo
This network shows the impact of papers produced by Markus G. Pruszydlo. 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 Markus G. Pruszydlo. The network helps show where Markus G. Pruszydlo may publish in the future.
Co-authorship network of co-authors of Markus G. Pruszydlo
This figure shows the co-authorship network connecting the top 25 collaborators of Markus G. Pruszydlo. A scholar is included among the top collaborators of Markus G. Pruszydlo 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 Markus G. Pruszydlo. Markus G. Pruszydlo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 5 | |
| 3 | 17 | |
| 4 | 195 | |
| 5 | 9 | |
| 6 | 56 | |
| 7 | 73 | |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 3 |
About Markus G. Pruszydlo
Markus G. Pruszydlo is a scholar working on Geriatrics and Gerontology, Health Information Management and Medical Laboratory Technology, having authored 12 papers that have together received 469 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (7 papers), Pharmaceutical studies and practices (5 papers) and Electronic Health Records Systems (4 papers). The work is most often cited by research in Geriatrics and Gerontology (166 citations), Health Information Management (124 citations) and Family Practice (55 citations). Markus G. Pruszydlo has collaborated with scholars based in Germany and United States. Frequent co-authors include Walter E. Haefeli, Renate Quinzler, Jens Kaltschmidt, Thilo Bertsche, Hanna M. Seidling, I. Walter‐Sack, Christian Senger, Johannes Pfaff, Matthias Schaier and Petra Schiller. Their work appears in journals such as Intensive Care Medicine, Journal of the American Medical Informatics Association and British Journal of Clinical Pharmacology.
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.