Wegene Borena
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 21
- COVID-19 Clinical Research Studies 15
- SARS-CoV-2 detection and testing 7
- Epidemiology 13
- Cervical Cancer and HPV Research 7
- Co-authors
- Hanno Ulmer (13 shared papers)Hans Concin (10 shared papers)Gabriele Nagel (9 shared papers)Jonas Manjer (11 shared papers)Tanja Stocks (11 shared papers)Håkan Jönsson (11 shared papers)Pär Stattin (9 shared papers)Anders Engeland (8 shared papers)
- Journals
- PLoS ONE (4 papers)Vaccines (3 papers)The Journal of Infectious Diseases (3 papers)Cancers (3 papers)Viruses (3 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Wegene Borena
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Cancer Research 334
- Infectious Diseases 287
- Modeling and Simulation 54
- Epidemiology 312
- Oncology 202
Countries citing papers authored by Wegene Borena
This map shows the geographic impact of Wegene Borena'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 Wegene Borena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wegene Borena more than expected).
Fields of papers citing papers by Wegene Borena
This network shows the impact of papers produced by Wegene Borena. 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 Wegene Borena. The network helps show where Wegene Borena may publish in the future.
Co-authors
The 25 scholars most cited alongside Wegene Borena, 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 | 2009 | 153 | |
| 2 | 2011 | 143 | |
| 3 | 2010 | 110 | |
| 4 | 2013 | 109 | |
| 5 | 2020 | 86 | |
| 6 | 2009 | 75 | |
| 7 | 2009 | 70 | |
| 8 | 2012 | 53 | |
| 9 | 2011 | 48 | |
| 10 | 2022 | 45 | |
| 11 | 2021 | 43 | |
| 12 | 2012 | 42 | |
| 13 | 2014 | 38 | |
| 14 | The role of human papilloma virus in urological malignancies. | 2015 | 37 |
| 15 | 2020 | 33 | |
| 16 | 2016 | 28 | |
| 17 | 2021 | 25 | |
| 18 | 2021 | 23 | |
| 19 | 2017 | 23 | |
| 20 | 2023 | 21 |
About Wegene Borena
Wegene Borena is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Cancer Research and Otorhinolaryngology, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (21 papers), COVID-19 Clinical Research Studies (15 papers), Cervical Cancer and HPV Research (7 papers), SARS-CoV-2 detection and testing (7 papers), Cancer, Lipids, and Metabolism (6 papers), Head and Neck Cancer Studies (5 papers), COVID-19 epidemiological studies (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Cancer Research (334 citations), Infectious Diseases (287 citations), Modeling and Simulation (54 citations), Epidemiology (312 citations) and Oncology (202 citations). Wegene Borena has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Hanno Ulmer, Hans Concin, Gabriele Nagel, Jonas Manjer, Tanja Stocks, Håkan Jönsson, Pär Stattin, Anders Engeland, Randi Selmer and Dorotheé von Laer. Their work appears in journals such as PLoS ONE, Vaccines, The Journal of Infectious Diseases, Cancers and Viruses.
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.