Daniel Asmelash

13.3k citations
30 papers · 465 · h-index 12

Impact in

Papers in

Daniel Asmelash

28 papers receiving 452 citations

Peers

Daniel Asmelash
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 170
  • Nephrology 55
  • Management of Technology and Innovation 41
  • Modeling and Simulation 19
  • Health Information Management 18
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Sintayehu Ambachew Ethiopia
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Albert Amoah Ghana
Aseem Malhotra United Kingdom
Michaela Theilmann United States
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Mirjana Huić Croatia
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Asmelash

Since Specialization
Citations

This map shows the geographic impact of Daniel Asmelash'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 Asmelash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Asmelash more than expected).

Fields of papers citing papers by Daniel Asmelash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Asmelash. 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 Asmelash. The network helps show where Daniel Asmelash may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Asmelash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Asmelash Line = papers co-authored together Daniel Asmelash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201959
2 197057
3 201957
4 201947
5 201944
6 197044
7 202020
8 201816
9 202115
10 202114
11 202014
12 202112
13 202211
14 201911
15
Extra-Analytical Clinical Laboratory Errors in Africa: A Systematic Review and Meta-Analysis.
20208
16 20186
17 20235
18 20245
19 20234
20
Knowledge, Attitudes and Practices Toward Prevention and Early Detection of COVID-19 and Associated Factors Among Religious Clerics and Traditional Healers in Gondar Town, Northwest Ethiopia: A Community-Based Study
20203

About Daniel Asmelash

Daniel Asmelash is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Pediatrics, Perinatology and Child Health, Surgery and Health, having authored 30 papers that have together received 465 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Clinical Laboratory Practices and Quality Control (3 papers), Vaccine Coverage and Hesitancy (3 papers), Meta-analysis and systematic reviews (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes Management and Education (3 papers), Global Maternal and Child Health (3 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (170 citations), Nephrology (55 citations), Management of Technology and Innovation (41 citations), Modeling and Simulation (19 citations) and Health Information Management (18 citations). Daniel Asmelash has collaborated with scholars based in Ethiopia, Australia and Norway. Frequent co-authors include Abebaw Worede, Habtamu Wondifraw Baynes, Sintayehu Ambachew, Belete Biadgo, Tadele Melak, Molla Abebe, Yalewayker Tegegne, Shewaneh Damtie, Ayenew Addisu and Setegn Eshetie. Their work appears in journals such as Journal of Multidisciplinary Healthcare, Risk Management and Healthcare Policy, Frontiers in Public Health, Frontiers in Medicine and Journal of Epidemiology and Global Health.

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.

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