Ulf Schaefer
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Microbiology top 5%
- Reproductive tract infections research
Papers in
-
- Bioinformatics and Genomic Networks 3
- Genomics and Phylogenetic Studies 3
- Genomics and Chromatin Dynamics 2
-
- MicroRNA in disease regulation 3
- Co-authors
- Vladimir B. Bajić (11 shared papers)Timothy J. Dallman (5 shared papers)Rediat Tewolde (3 shared papers)Claire Jenkins (4 shared papers)Sebastian Schmeier (5 shared papers)Yulia A. Medvedeva (2 shared papers)Yoshihide Hayashizaki (3 shared papers)Philip Ashton (2 shared papers)
- Journals
- PeerJ (3 papers)Journal of Medical Microbiology (2 papers)Journal of Clinical Microbiology (2 papers)PLoS ONE (2 papers)BMC Genomics (2 papers)
- Partner nations
- United KingdomSaudi ArabiaSouth Africa
In The Last Decade
Ulf Schaefer
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Endocrinology 185
- Microbiology 154
- Molecular Medicine 81
- Food Science 225
- Immunology 220
Countries citing papers authored by Ulf Schaefer
This map shows the geographic impact of Ulf Schaefer'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 Ulf Schaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Schaefer more than expected).
Fields of papers citing papers by Ulf Schaefer
This network shows the impact of papers produced by Ulf Schaefer. 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 Ulf Schaefer. The network helps show where Ulf Schaefer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ulf Schaefer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 283 | |
| 2 | 2016 | 184 | |
| 3 | 2012 | 167 | |
| 4 | 2016 | 107 | |
| 5 | 2018 | 87 | |
| 6 | 2017 | 84 | |
| 7 | 2015 | 76 | |
| 8 | 2011 | 76 | |
| 9 | 2009 | 65 | |
| 10 | 2008 | 36 | |
| 11 | 2011 | 29 | |
| 12 | 2018 | 27 | |
| 13 | 2019 | 26 | |
| 14 | 2009 | 25 | |
| 15 | 2011 | 19 | |
| 16 | 2008 | 17 | |
| 17 | 2017 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2011 | 13 | |
| 20 | 2012 | 10 |
About Ulf Schaefer
Ulf Schaefer is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Food Science and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (3 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (3 papers), MicroRNA in disease regulation (3 papers), Zoonotic diseases and public health (2 papers), Cystic Fibrosis Research Advances (2 papers), Genomics and Chromatin Dynamics (2 papers) and Reproductive tract infections research (2 papers). The work is most often cited by research in Endocrinology (185 citations), Microbiology (154 citations), Molecular Medicine (81 citations), Food Science (225 citations) and Immunology (220 citations). Ulf Schaefer has collaborated with scholars based in United Kingdom, Saudi Arabia and South Africa. Frequent co-authors include Vladimir B. Bajić, Timothy J. Dallman, Rediat Tewolde, Claire Jenkins, Sebastian Schmeier, Yulia A. Medvedeva, Yoshihide Hayashizaki, Philip Ashton, Alan Christoffels and Vsevolod J. Makeev. Their work appears in journals such as PeerJ, Journal of Medical Microbiology, Journal of Clinical Microbiology, PLoS ONE and BMC Genomics.
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.