Fikadu Tafesse
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Immunology top 10%
- Cell Biology top 5%
- Physiology top 10%
- Co-authors
- Joost C. M. HolthuisPhilipp TernesHans C. LeierTimothy A. BatesWilliam B. MesserPentti SomerharjuMartin HermanssonMarcel E. Curlin
- Topics
- SARS-CoV-2 and COVID-19 Research (19 papers)Sphingolipid Metabolism and Signaling (14 papers)Lipid Membrane Structure and Behavior (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJAMA
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Fikadu Tafesse
51 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.2k
- Infectious Diseases 665
- Immunology 292
- Cell Biology 280
- Physiology 280
Countries citing papers authored by Fikadu Tafesse
This map shows the geographic impact of Fikadu Tafesse'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 Fikadu Tafesse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fikadu Tafesse more than expected).
Fields of papers citing papers by Fikadu Tafesse
This network shows the impact of papers produced by Fikadu Tafesse. 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 Fikadu Tafesse. The network helps show where Fikadu Tafesse may publish in the future.
Co-authorship network of co-authors of Fikadu Tafesse
This figure shows the co-authorship network connecting the top 25 collaborators of Fikadu Tafesse. A scholar is included among the top collaborators of Fikadu Tafesse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fikadu Tafesse. Fikadu Tafesse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | Vaccination before or after SARS-CoV-2 infection leads to robust humoral response and antibodies that effectively neutralize variantsbreakdown → | 173 |
| 10 | 38 | |
| 11 | 12 | |
| 12 | 49 | |
| 13 | 18 | |
| 14 | 9 | |
| 15 | 63 | |
| 16 | 58 | |
| 17 | 45 | |
| 18 | 17 | |
| 19 | 66 | |
| 20 | 187 |
About Fikadu Tafesse
Fikadu Tafesse is a scholar working on Infectious Diseases, Virology and Modeling and Simulation, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), Sphingolipid Metabolism and Signaling (14 papers) and Lipid Membrane Structure and Behavior (12 papers). The work is most often cited by research in Infectious Diseases (665 citations), Biochemistry (147 citations) and Modeling and Simulation (79 citations). Fikadu Tafesse has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Joost C. M. Holthuis, Philipp Ternes, Hans C. Leier, Timothy A. Bates, William B. Messer, Pentti Somerharju, Martin Hermansson, Marcel E. Curlin, Jules B. Weinstein and Savannah K. McBride. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and JAMA.
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.