Yonas Akalu
- Infectious Diseases top 10%
- Clinical Psychology top 10%
- Modeling and Simulation top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Health top 5%
- Co-authors
- Meseret Derbew MollaBirhanu AyelignYitayeh BelstiYigizie YeshawBaye DagnewMengistie DiressGashaw DessieGetu Debalkie Demissie
- Topics
- Global Maternal and Child Health (7 papers)Ophthalmology and Visual Impairment Studies (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- EthiopiaAustraliaUnited Kingdom
In The Last Decade
Yonas Akalu
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 128
- Infectious Diseases 178
- Clinical Psychology 175
- Modeling and Simulation 173
- Endocrinology, Diabetes and Metabolism 161
- Health 145
Countries citing papers authored by Yonas Akalu
This map shows the geographic impact of Yonas Akalu'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 Yonas Akalu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonas Akalu more than expected).
Fields of papers citing papers by Yonas Akalu
This network shows the impact of papers produced by Yonas Akalu. 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 Yonas Akalu. The network helps show where Yonas Akalu may publish in the future.
Co-authorship network of co-authors of Yonas Akalu
This figure shows the co-authorship network connecting the top 25 collaborators of Yonas Akalu. A scholar is included among the top collaborators of Yonas Akalu 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 Yonas Akalu. Yonas Akalu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 31 | |
| 7 | 6 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 90 | |
| 11 | 40 | |
| 12 | Role of Caspase-1 in the Pathogenesis of Inflammatory-Associated Chronic Noncommunicable Diseases | 1 |
| 13 | Knowledge, Attitude and Practice Towards COVID-19 Among Chronic Disease Patients at Addis Zemen Hospital, Northwest Ethiopia | 21 |
| 14 | 78 | |
| 15 | 72 | |
| 16 | Hypertension and Its Associated Factors Among Type 2 Diabetes Mellitus Patients at Debre Tabor General Hospital, Northwest Ethiopia | 5 |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 204 | |
| 20 | 18 |
About Yonas Akalu
Yonas Akalu is a scholar working on Modeling and Simulation, Endocrinology, Diabetes and Metabolism and Neurology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Global Maternal and Child Health (7 papers), Ophthalmology and Visual Impairment Studies (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). The work is most often cited by research in Modeling and Simulation (173 citations), Health (145 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Yonas Akalu has collaborated with scholars based in Ethiopia, Australia and United Kingdom. Frequent co-authors include Meseret Derbew Molla, Birhanu Ayelign, Yitayeh Belsti, Yigizie Yeshaw, Baye Dagnew, Mengistie Diress, Gashaw Dessie, Getu Debalkie Demissie, Yibeltal Yismaw Gela and Tewodros Shibabaw. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.