Daniel S. Abebe
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 and COVID-19 Research 1
- Surgery 1
- Congenital Anomalies and Fetal Surgery 1
- Co-authors
- Fekadu Abebe (1 shared paper)Gobena Ameni (1 shared paper)Gunnar Bjune (1 shared paper)Birhanu Ayele (2 shared papers)Asheber Gaym (1 shared paper)Demisu Zenbaba (1 shared paper)Biniyam Sahiledengle (1 shared paper)Demelash Woldeyohannes (1 shared paper)
- Journals
- PLoS ONE (2 papers)BMJ Open (1 paper)The International Journal of Tuberculosis and Lung Disease (1 paper)BMC Infectious Diseases (1 paper)Pan African Medical Journal (2 papers)
- Partner nations
- EthiopiaNorwaySouth Africa
In The Last Decade
Daniel S. Abebe
9 papers receiving 187 citations
Peers
Comparison fields: 5 of 40
- Infectious Diseases 106
- Applied Microbiology and Biotechnology 6
- Critical Care and Intensive Care Medicine 8
- Microbiology 1
- Modeling and Simulation 6
Countries citing papers authored by Daniel S. Abebe
This map shows the geographic impact of Daniel S. Abebe'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 S. Abebe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Abebe more than expected).
Fields of papers citing papers by Daniel S. Abebe
This network shows the impact of papers produced by Daniel S. Abebe. 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 S. Abebe. The network helps show where Daniel S. Abebe may publish in the future.
Co-authors
The 10 scholars most cited alongside Daniel S. Abebe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 64 | |
| 2 | 2021 | 39 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 19 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 11 | |
| 7 | Hydatid cyst an unusual cause of ovarian enlargement. | 2002 | 11 |
| 8 | 2021 | 6 | |
| 9 | 2022 | 2 |
About Daniel S. Abebe
Daniel S. Abebe is a scholar working on Infectious Diseases, Surgery, Critical Care and Intensive Care Medicine, Pathology and Forensic Medicine and Obstetrics and Gynecology, having authored 9 papers that have together received 195 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), COVID-19 Impact on Reproduction (1 paper), Congenital Anomalies and Fetal Surgery (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), Parasitic infections in humans and animals (1 paper) and Nosocomial Infections in ICU (1 paper). The work is most often cited by research in Infectious Diseases (106 citations), Applied Microbiology and Biotechnology (6 citations), Critical Care and Intensive Care Medicine (8 citations), Microbiology (1 citation) and Modeling and Simulation (6 citations). Daniel S. Abebe has collaborated with scholars based in Ethiopia, Norway and South Africa. Frequent co-authors include Fekadu Abebe, Gobena Ameni, Gunnar Bjune, Birhanu Ayele, Asheber Gaym, Demisu Zenbaba, Biniyam Sahiledengle, Demelash Woldeyohannes, Menayit Tamrat Dresse and Yohannes Tekalegn. Their work appears in journals such as PLoS ONE, BMJ Open, The International Journal of Tuberculosis and Lung Disease, BMC Infectious Diseases and Pan African Medical Journal.
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.