Helmut Uphoff
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Endocrinology top 10%
Papers in
- Epidemiology 27
- Influenza Virus Research Studies 23
- Respiratory viral infections research 10
- Data-Driven Disease Surveillance 9
-
- COVID-19 epidemiological studies 10
- 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)J Szecsenyi (1 shared paper)H. D. Brede (1 shared paper)Sylvia H. Ley (1 shared paper)
- Journals
- Eurosurveillance (6 papers)Plant Breeding (2 papers)PLoS ONE (2 papers)Virus Research (1 paper)Vaccine (1 paper)
- Partner nations
- GermanyBelgiumNetherlands
In The Last Decade
Helmut Uphoff
38 papers receiving 503 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 115
- Endocrinology 46
- Infectious Diseases 157
- Epidemiology 289
- Health 43
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 | 55 | |
| 3 | 2010 | 39 | |
| 4 | 2007 | 39 | |
| 5 | 2014 | 36 | |
| 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 | 2004 | 12 | |
| 15 | 2011 | 12 | |
| 16 | 2006 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2011 | 11 | |
| 19 | 2003 | 11 | |
| 20 | 2009 | 8 |
About Helmut Uphoff
Helmut Uphoff is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Health, Toxicology and Mutagenesis and Immunology, having authored 41 papers that have together received 525 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (23 papers), COVID-19 epidemiological studies (10 papers), Respiratory viral infections research (10 papers), Data-Driven Disease Surveillance (9 papers), Viral gastroenteritis research and epidemiology (6 papers), Climate Change and Health Impacts (5 papers), Escherichia coli research studies (4 papers) and Vaccine Coverage and Hesitancy (4 papers). The work is most often cited by research in Modeling and Simulation (115 citations), Endocrinology (46 citations), Infectious Diseases (157 citations), Epidemiology (289 citations) and Health (43 citations). Helmut Uphoff has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include G. Wricke, Udo Buchholz, Anja M. Hauri, Walter Haas, P Zucs, J Szecsenyi, H. D. Brede, Sylvia H. Ley, W J Paget and Tomás Vega. Their work appears in journals such as Eurosurveillance, Plant Breeding, PLoS ONE, Virus Research and Vaccine.
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.