Dagmar Pich
Impact in
- Oncology top 1%
- Viral-associated cancers and disorders
- Polyomavirus and related diseases
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
- Oncology 22
- Viral-associated cancers and disorders 22
- Polyomavirus and related diseases 3
- Epidemiology 16
- Cytomegalovirus and herpesvirus research 15
- Herpesvirus Infections and Treatments 4
- Co-authors
- Wolfgang Hammerschmidt (30 shared papers)Reinhard Zeidler (8 shared papers)Henri‐Jacques Delecluse (4 shared papers)Aloys Schepers (6 shared papers)A. Rainey (1 shared paper)Moritz Haneklaus (1 shared paper)Seth L. Masters (1 shared paper)Iain B. McInnes (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (7 papers)Journal of Virology (7 papers)Nucleic Acids Research (2 papers)mBio (2 papers)Biomarker Research (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Dagmar Pich
29 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 85
- Oncology 1.5k
- Epidemiology 904
- Pathology and Forensic Medicine 431
- Immunology 522
- Infectious Diseases 334
Countries citing papers authored by Dagmar Pich
This map shows the geographic impact of Dagmar Pich'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 Dagmar Pich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Pich more than expected).
Fields of papers citing papers by Dagmar Pich
This network shows the impact of papers produced by Dagmar Pich. 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 Dagmar Pich. The network helps show where Dagmar Pich may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagmar Pich, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 413 | |
| 2 | 2012 | 382 | |
| 3 | 2019 | 142 | |
| 4 | 2000 | 132 | |
| 5 | 2009 | 131 | |
| 6 | 2006 | 115 | |
| 7 | 1993 | 111 | |
| 8 | 1995 | 90 | |
| 9 | 2008 | 85 | |
| 10 | 2019 | 79 | |
| 11 | 1996 | 77 | |
| 12 | 1993 | 75 | |
| 13 | 2002 | 73 | |
| 14 | 1999 | 65 | |
| 15 | 1998 | 53 | |
| 16 | 2000 | 47 | |
| 17 | 2004 | 47 | |
| 18 | 2021 | 43 | |
| 19 | 1995 | 41 | |
| 20 | 1995 | 39 |
About Dagmar Pich
Dagmar Pich is a scholar working on Oncology, Epidemiology, Infectious Diseases, Molecular Biology and Genetics, having authored 30 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (22 papers), Cytomegalovirus and herpesvirus research (15 papers), Parvovirus B19 Infection Studies (6 papers), Virus-based gene therapy research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Herpesvirus Infections and Treatments (4 papers), Polyomavirus and related diseases (3 papers) and Extracellular vesicles in disease (3 papers). The work is most often cited by research in Oncology (1.5k citations), Epidemiology (904 citations), Pathology and Forensic Medicine (431 citations), Immunology (522 citations) and Infectious Diseases (334 citations). Dagmar Pich has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Wolfgang Hammerschmidt, Reinhard Zeidler, Henri‐Jacques Delecluse, Aloys Schepers, A. Rainey, Moritz Haneklaus, Seth L. Masters, Iain B. McInnes, Motti Gerlic and Mariola Kurowska‐Stolarska. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, Nucleic Acids Research, mBio and Biomarker Research.
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.