Tebelay Dilnessa
- Infectious Diseases top 10%
- Computational Theory and Mathematics top 5%
- Molecular Biology
- Organic Chemistry
- Clinical Biochemistry top 10%
- Co-authors
- Hylemariam Mihiretie MengistTengchuan JinAdane BitewGetachew MengistuAbtie AbebawWorkagegnehu HailuFeleke MogesBaye Gelaw
- Topics
- Bacterial Identification and Susceptibility Testing (5 papers)Antibiotic Resistance in Bacteria (4 papers)Antibiotic Use and Resistance (3 papers)
In The Last Decade
Tebelay Dilnessa
16 papers receiving 420 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Infectious Diseases 231
- Computational Theory and Mathematics 164
- Molecular Biology 113
- Organic Chemistry 57
- Clinical Biochemistry 50
Countries citing papers authored by Tebelay Dilnessa
This map shows the geographic impact of Tebelay Dilnessa'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 Tebelay Dilnessa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tebelay Dilnessa more than expected).
Fields of papers citing papers by Tebelay Dilnessa
This network shows the impact of papers produced by Tebelay Dilnessa. 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 Tebelay Dilnessa. The network helps show where Tebelay Dilnessa may publish in the future.
Co-authorship network of co-authors of Tebelay Dilnessa
This figure shows the co-authorship network connecting the top 25 collaborators of Tebelay Dilnessa. A scholar is included among the top collaborators of Tebelay Dilnessa 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 Tebelay Dilnessa. Tebelay Dilnessa 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 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 13 | |
| 8 | 9 | |
| 9 | Structural Basis of Potential Inhibitors Targeting SARS-CoV-2 Main Proteasebreakdown → | 233 |
| 10 | 17 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | Prevalence of Helicobacter pylori and risk factors among dyspepsia and non-dyspepsia adults at Assosa General Hospital, West Ethiopia: A comparative study | 12 |
| 14 | 19 | |
| 15 | Microbiological, Physical and Chemical Quality of Swimming Water with Emphasize Bacteriological Quality | 2 |
| 16 | 64 | |
| 17 | 6 | |
| 18 | 4 |
About Tebelay Dilnessa
Tebelay Dilnessa is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 18 papers that have together received 430 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Infectious Diseases (231 citations), Applied Microbiology and Biotechnology (22 citations) and Computational Theory and Mathematics (164 citations). Tebelay Dilnessa has collaborated with scholars based in Ethiopia and China. Frequent co-authors include Hylemariam Mihiretie Mengist, Tengchuan Jin, Adane Bitew, Getachew Mengistu, Abtie Abebaw, Workagegnehu Hailu, Feleke Moges, Baye Gelaw, Molla Yigzaw Birhanu and Haile Amha. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology and BMC 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.