Daniel L. Glauser
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
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- Virus-based gene therapy research
- Glioma Diagnosis and Treatment
Papers in
- Epidemiology 14
- Herpesvirus Infections and Treatments 14
- Cytomegalovirus and herpesvirus research 5
- Genetics 7
- Virus-based gene therapy research 7
- Co-authors
- Mathias Ackermann (14 shared papers)Cornel Fraefel (12 shared papers)Irma Heid (3 shared papers)Okay Saydam (5 shared papers)Philip G. Stevenson (6 shared papers)Urs Ziegler (3 shared papers)Elisabeth M. Schraner (3 shared papers)Monika Hilbe (3 shared papers)
- Journals
- Journal of Virology (8 papers)Journal of General Virology (4 papers)PLoS ONE (3 papers)Gene Therapy (1 paper)Molecular Therapy (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Daniel L. Glauser
21 papers receiving 444 citations
Peers
Comparison fields: 5 of 39
- Epidemiology 201
- Genetics 117
- Animal Science and Zoology 29
- Genetics 21
- Oncology 51
Countries citing papers authored by Daniel L. Glauser
This map shows the geographic impact of Daniel L. Glauser'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 Daniel L. Glauser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Glauser more than expected).
Fields of papers citing papers by Daniel L. Glauser
This network shows the impact of papers produced by Daniel L. Glauser. 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 Daniel L. Glauser. The network helps show where Daniel L. Glauser may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Glauser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 96 | |
| 2 | 2005 | 63 | |
| 3 | 2008 | 47 | |
| 4 | 2011 | 26 | |
| 5 | 2007 | 24 | |
| 6 | 2007 | 21 | |
| 7 | 2010 | 19 | |
| 8 | 2011 | 19 | |
| 9 | 2009 | 18 | |
| 10 | 2006 | 17 | |
| 11 | 2005 | 15 | |
| 12 | 2011 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2009 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2009 | 9 | |
| 18 | 2012 | 9 | |
| 19 | 2015 | 6 | |
| 20 | 2017 | 6 |
About Daniel L. Glauser
Daniel L. Glauser is a scholar working on Epidemiology, Genetics, Immunology, Molecular Biology and Small Animals, having authored 21 papers that have together received 457 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (14 papers), Virus-based gene therapy research (7 papers), Cytomegalovirus and herpesvirus research (5 papers), DNA Repair Mechanisms (3 papers), RNA Interference and Gene Delivery (1 paper), Animal testing and alternatives (1 paper), Animal Virus Infections Studies (1 paper) and Parvovirus B19 Infection Studies (1 paper). The work is most often cited by research in Epidemiology (201 citations), Genetics (117 citations), Animal Science and Zoology (29 citations), Genetics (21 citations) and Oncology (51 citations). Daniel L. Glauser has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Mathias Ackermann, Cornel Fraefel, Irma Heid, Okay Saydam, Philip G. Stevenson, Urs Ziegler, Elisabeth M. Schraner, Monika Hilbe, Martin Müller and Laurent Gillet. Their work appears in journals such as Journal of Virology, Journal of General Virology, PLoS ONE, Gene Therapy and Molecular Therapy.
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.