Daniel Stern
Impact in
Papers in
- Epidemiology 16
- Herpesvirus Infections and Treatments 11
- Cytomegalovirus and herpesvirus research 3
- Virology 12
- Poxvirus research and outbreaks 11
- Co-authors
- Brigitte G. Dorner (17 shared papers)Andreas Rummel (9 shared papers)Stefan Mahrhold (6 shared papers)Andreas Nitsche (11 shared papers)Martin B. Dorner (11 shared papers)Jasmin Weisemann (7 shared papers)Guorui Yao (1 shared paper)Markus Kalkum (1 shared paper)
- Journals
- Toxins (5 papers)PLoS ONE (4 papers)PLoS Pathogens (2 papers)Vox Sanguinis (2 papers)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Daniel Stern
36 papers receiving 578 citations
Peers
Comparison fields: 5 of 88
- Virology 104
- Neurology 193
- Cellular and Molecular Neuroscience 142
- Hematology 47
- Infectious Diseases 69
Countries citing papers authored by Daniel Stern
This map shows the geographic impact of Daniel Stern'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 Stern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stern more than expected).
Fields of papers citing papers by Daniel Stern
This network shows the impact of papers produced by Daniel Stern. 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 Stern. The network helps show where Daniel Stern may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Stern, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2016 | 52 | |
| 3 | 1994 | 36 | |
| 4 | 2016 | 29 | |
| 5 | 2016 | 28 | |
| 6 | 2018 | 27 | |
| 7 | 2019 | 26 | |
| 8 | 2016 | 26 | |
| 9 | 2016 | 25 | |
| 10 | Interaction of antibody with Forssman antigen in guinea pigs. A mechanism of adaptation to antibody- and complement-mediated injury. | 1995 | 24 |
| 11 | 2016 | 23 | |
| 12 | 2015 | 21 | |
| 13 | 2016 | 21 | |
| 14 | 2017 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2006 | 14 | |
| 17 | 2017 | 13 | |
| 18 | 2014 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 11 |
About Daniel Stern
Daniel Stern is a scholar working on Epidemiology, Virology, Molecular Biology, Neurology and Infectious Diseases, having authored 39 papers that have together received 594 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (11 papers), Herpesvirus Infections and Treatments (11 papers), Botulinum Toxin and Related Neurological Disorders (8 papers), Neurological disorders and treatments (7 papers), Bacillus and Francisella bacterial research (7 papers), Hereditary Neurological Disorders (4 papers), Bacteriophages and microbial interactions (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Virology (104 citations), Neurology (193 citations), Cellular and Molecular Neuroscience (142 citations), Hematology (47 citations) and Infectious Diseases (69 citations). Daniel Stern has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Brigitte G. Dorner, Andreas Rummel, Stefan Mahrhold, Andreas Nitsche, Martin B. Dorner, Jasmin Weisemann, Guorui Yao, Markus Kalkum, Rongsheng Jin and Min Dong. Their work appears in journals such as Toxins, PLoS ONE, PLoS Pathogens, Vox Sanguinis and Analytical and Bioanalytical Chemistry.
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.