Daniel G. Datiko

54 papers receiving 1.5k citations

Peers

Daniel G. Datiko
Comparison fields: 5 of 89
  • Infectious Diseases 843
  • Pediatrics, Perinatology and Child Health 278
  • Epidemiology 243
  • General Health Professions 139
  • Finance 60
Replace Marian Loveday with:
Marian Loveday South Africa
James Newell United Kingdom
Sheela Rangan United Kingdom
Shenglan Tang China
Namwinga Chintu Zambia
Alwyn Mwinga Zambia
Sharath Burugina Nagaraja India
Miriam Rabkin United States
Mauro Niskier Sanchez Brazil
Francisco Mbofana Mozambique
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Citations per year

Countries citing papers authored by Daniel G. Datiko

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Datiko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel G. Datiko, 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 G. Datiko Line = papers co-authored together Daniel G. Datiko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013138
2 2009127
3 2015110
4 201878
5 201877
6 202070
7 201059
8 201557
9 200855
10 201453
11 201751
12 201551
13 201949
14 201546
15 201541
16
Ten-year experiences of the tuberculosis control programme in the southern region of Ethiopia.
200636
17 201535
18 202031
19 201527
20 201725

About Daniel G. Datiko

Daniel G. Datiko is a scholar working on Infectious Diseases, Pediatrics, Perinatology and Child Health, Epidemiology, Surgery and General Health Professions, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (43 papers), Global Maternal and Child Health (7 papers), Diagnosis and treatment of tuberculosis (5 papers), Healthcare Systems and Reforms (4 papers), Child Nutrition and Water Access (3 papers), Pneumonia and Respiratory Infections (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Infectious Diseases (843 citations), Pediatrics, Perinatology and Child Health (278 citations), Epidemiology (243 citations), General Health Professions (139 citations) and Finance (60 citations). Daniel G. Datiko has collaborated with scholars based in Ethiopia, United Kingdom and United States. Frequent co-authors include Bernt Lindtjørn, Mesay Hailu Dangisso, Sally Theobald, Mohammed A. Yassin, Degu Jerene, Pedro Suarez, Olivia Tulloch, Aschenaki Zerihun Kea, Maryse Kok and Luís E. Cuevas. Their work appears in journals such as PLoS ONE, BMC Public Health, The International Journal of Tuberculosis and Lung Disease, Tropical Medicine and Infectious Disease and BMJ Open.

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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