Getahun Abate
- Epidemiology top 2%
- Infectious Diseases top 1%
- Immunology top 5%
- Molecular Biology
- Surgery top 10%
- Co-authors
- Daniel F. HoftHåkan MiörnerAzra BlazevicR. N. MSHANACharles T. SpencerAbraham AseffaSteven M. TruscottFrances K. Newman
- Topics
- Tuberculosis Research and Epidemiology (31 papers)Mycobacterium research and diagnosis (22 papers)Immune Cell Function and Interaction (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyClinical Infectious Diseases
- Partner nations
- United StatesEthiopiaSweden
In The Last Decade
Getahun Abate
62 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Epidemiology 1.2k
- Infectious Diseases 1.1k
- Immunology 698
- Molecular Biology 393
- Surgery 361
Countries citing papers authored by Getahun Abate
This map shows the geographic impact of Getahun Abate'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 Getahun Abate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Getahun Abate more than expected).
Fields of papers citing papers by Getahun Abate
This network shows the impact of papers produced by Getahun Abate. 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 Getahun Abate. The network helps show where Getahun Abate may publish in the future.
Co-authorship network of co-authors of Getahun Abate
This figure shows the co-authorship network connecting the top 25 collaborators of Getahun Abate. A scholar is included among the top collaborators of Getahun Abate 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 Getahun Abate. Getahun Abate is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 86 | |
| 11 | 64 | |
| 12 | 30 | |
| 13 | 35 | |
| 14 | Disease-Related Knowledge and Practices of Tuberculosis Patients | 2 |
| 15 | 1 | |
| 16 | Relapsing Fever in Hossana, Ethiopia: A Clinical and Epidemiological Study | 14 |
| 17 | 45 | |
| 18 | 13 | |
| 19 | 3 | |
| 20 | [Concentration of sodium and potassium in the erythrocyte. Value of the determination of such erythrocytes in clinical practice]. | 0 |
About Getahun Abate
Getahun Abate is a scholar working on Infectious Diseases, Virology and Epidemiology, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (31 papers), Mycobacterium research and diagnosis (22 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Epidemiology (1.2k citations) and Immunology (698 citations). Getahun Abate has collaborated with scholars based in United States, Ethiopia and Sweden. Frequent co-authors include Daniel F. Hoft, Håkan Miörner, Azra Blazevic, R. N. MSHANA, Charles T. Spencer, Abraham Aseffa, Steven M. Truscott, Frances K. Newman, Serge De Vallière and Rita M. Heuertz. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Clinical Infectious Diseases.
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.