Martin Däumer
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 42
- HIV/AIDS Research and Interventions 23
- Virology 45
- HIV Research and Treatment 43
- Co-authors
- Rolf Kaiser (40 shared papers)Niko Beerenwinkel (18 shared papers)Thomas Lengauer (22 shared papers)Osvaldo Zagordi (2 shared papers)Daniel Hoffmann (11 shared papers)Rolf Klein (4 shared papers)Herbert Pfister (11 shared papers)Joachim Selbig (8 shared papers)
- Journals
- Journal of Clinical Virology (4 papers)Antiviral Therapy (4 papers)Nucleic Acids Research (3 papers)Journal of Antimicrobial Chemotherapy (3 papers)PLoS ONE (3 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Martin Däumer
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Virology 1.1k
- Infectious Diseases 1.0k
- Hepatology 347
- Epidemiology 475
- Transplantation 19
Countries citing papers authored by Martin Däumer
This map shows the geographic impact of Martin Däumer'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 Martin Däumer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Däumer more than expected).
Fields of papers citing papers by Martin Däumer
This network shows the impact of papers produced by Martin Däumer. 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 Martin Däumer. The network helps show where Martin Däumer may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Däumer, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 158 | |
| 2 | 2007 | 135 | |
| 3 | 2014 | 89 | |
| 4 | 2005 | 88 | |
| 5 | 2006 | 81 | |
| 6 | 2013 | 76 | |
| 7 | 2006 | 71 | |
| 8 | 2005 | 70 | |
| 9 | 2009 | 63 | |
| 10 | 2005 | 61 | |
| 11 | 2006 | 61 | |
| 12 | 2012 | 47 | |
| 13 | 2004 | 47 | |
| 14 | 2010 | 47 | |
| 15 | 2007 | 44 | |
| 16 | 2009 | 44 | |
| 17 | 2009 | 44 | |
| 18 | 2003 | 43 | |
| 19 | 2007 | 42 | |
| 20 | 2018 | 33 |
About Martin Däumer
Martin Däumer is a scholar working on Infectious Diseases, Virology, Molecular Biology, Epidemiology and Hepatology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (43 papers), HIV/AIDS drug development and treatment (42 papers), HIV/AIDS Research and Interventions (23 papers), Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (5 papers), Genomics and Phylogenetic Studies (4 papers), Immune Cell Function and Interaction (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Virology (1.1k citations), Infectious Diseases (1.0k citations), Hepatology (347 citations), Epidemiology (475 citations) and Transplantation (19 citations). Martin Däumer has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Rolf Kaiser, Niko Beerenwinkel, Thomas Lengauer, Osvaldo Zagordi, Daniel Hoffmann, Rolf Klein, Herbert Pfister, Joachim Selbig, Mark Oette and Gerd Fätkenheuer. Their work appears in journals such as Journal of Clinical Virology, Antiviral Therapy, Nucleic Acids Research, Journal of Antimicrobial Chemotherapy and PLoS ONE.
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.