W. Hampl
- Epidemiology top 10%
- Immunology
- Infectious Diseases top 10%
- Oncology
- Hematology
- Co-authors
- Lutz von MüllerThomas MertensManfred WeißMarion SchneiderDetlef MichelAlbert ZimmermannBernd HertensteinIvica Pavić
- Topics
- Cytomegalovirus and herpesvirus research (12 papers)Herpesvirus Infections and Treatments (7 papers)Polyomavirus and related diseases (2 papers)
- Journals
- Journal of Clinical MicrobiologyThe Journal of Infectious DiseasesAntimicrobial Agents and Chemotherapy
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
W. Hampl
22 papers receiving 496 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 342
- Immunology 126
- Infectious Diseases 125
- Oncology 86
- Hematology 69
Countries citing papers authored by W. Hampl
This map shows the geographic impact of W. Hampl'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. Hampl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Hampl more than expected).
Fields of papers citing papers by W. Hampl
This network shows the impact of papers produced by W. Hampl. 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. Hampl. The network helps show where W. Hampl may publish in the future.
Co-authorship network of co-authors of W. Hampl
This figure shows the co-authorship network connecting the top 25 collaborators of W. Hampl. A scholar is included among the top collaborators of W. Hampl 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. Hampl. W. Hampl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 14 | |
| 3 | 14 | |
| 4 | 73 | |
| 5 | 69 | |
| 6 | 32 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 41 | |
| 10 | 35 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | In vivo/ex vivo T cell depletion for GVHD prophylaxis influences onset and course of active cytomegalovirus infection and disease after BMT. | 57 |
| 14 | 32 | |
| 15 | [Human cytomegalovirus--biology and infection]. | 3 |
| 16 | 4 | |
| 17 | 17 | |
| 18 | 7 | |
| 19 | 2 | |
| 20 | Reed-Sternberg like cells in cultures of mononuclear blood cells infected by Epstein-Barr virus. | 2 |
About W. Hampl
W. Hampl is a scholar working on Epidemiology, Virology and Endocrinology, having authored 22 papers that have together received 503 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (12 papers), Herpesvirus Infections and Treatments (7 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Epidemiology (342 citations), Infectious Diseases (125 citations) and Hematology (69 citations). W. Hampl has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Lutz von Müller, Thomas Mertens, Thomas Mertens, Manfred Weiß, Marion Schneider, Detlef Michel, Albert Zimmermann, Bernd Hertenstein, Ivica Pavić and R. Arnold. Their work appears in journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases 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.