Helmut Uphoff
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Endocrinology top 10%
- Escherichia coli research studies
Papers in
- Epidemiology 24
- Influenza Virus Research Studies 20
- Data-Driven Disease Surveillance 9
- Respiratory viral infections research 8
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- Viral gastroenteritis research and epidemiology 6
- Co-authors
- G. Wricke (2 shared papers)Udo Buchholz (6 shared papers)Anja M. Hauri (8 shared papers)Walter Haas (5 shared papers)P Zucs (1 shared paper)H. D. Brede (1 shared paper)Sylvia H. Ley (1 shared paper)J Szecsenyi (1 shared paper)
- Journals
- Eurosurveillance (6 papers)PLoS ONE (2 papers)Plant Breeding (2 papers)European Journal of Epidemiology (1 paper)Emerging Themes in Epidemiology (1 paper)
- Partner nations
- GermanySwitzerlandBelgium
In The Last Decade
Helmut Uphoff
38 papers receiving 504 citations
Peers
Comparison fields: 5 of 64
- Modeling and Simulation 60
- Endocrinology 43
- Epidemiology 247
- Infectious Diseases 119
- Molecular Medicine 16
Countries citing papers authored by Helmut Uphoff
This map shows the geographic impact of Helmut Uphoff'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 Helmut Uphoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helmut Uphoff more than expected).
Fields of papers citing papers by Helmut Uphoff
This network shows the impact of papers produced by Helmut Uphoff. 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 Helmut Uphoff. The network helps show where Helmut Uphoff may publish in the future.
Co-authors
The 25 scholars most cited alongside Helmut Uphoff, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 55 | |
| 2 | 2005 | 53 | |
| 3 | 2007 | 40 | |
| 4 | 2010 | 39 | |
| 5 | 2014 | 37 | |
| 6 | 1995 | 33 | |
| 7 | 1992 | 23 | |
| 8 | 2013 | 21 | |
| 9 | 1995 | 20 | |
| 10 | 2011 | 19 | |
| 11 | 2010 | 16 | |
| 12 | 2006 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2011 | 12 | |
| 15 | 2003 | 11 | |
| 16 | 2011 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2006 | 11 | |
| 19 | 2004 | 11 | |
| 20 | 2004 | 8 |
About Helmut Uphoff
Helmut Uphoff is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Immunology and Health, Toxicology and Mutagenesis, having authored 41 papers that have together received 524 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (20 papers), Data-Driven Disease Surveillance (9 papers), Respiratory viral infections research (8 papers), COVID-19 epidemiological studies (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Climate Change and Health Impacts (4 papers), Escherichia coli research studies (4 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Endocrinology (43 citations), Epidemiology (247 citations), Infectious Diseases (119 citations) and Molecular Medicine (16 citations). Helmut Uphoff has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include G. Wricke, Udo Buchholz, Anja M. Hauri, Walter Haas, P Zucs, H. D. Brede, Sylvia H. Ley, J Szecsenyi, Jacobus van der Velden and W J Paget. Their work appears in journals such as Eurosurveillance, PLoS ONE, Plant Breeding, European Journal of Epidemiology and Emerging Themes in Epidemiology.
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.