Daniel Valia

12 papers receiving 79 citations

Peers

Daniel Valia
Comparison fields: 5 of 41
  • Applied Microbiology and Biotechnology 24
  • Health Informatics 2
  • Public Health, Environmental and Occupational Health 42
  • Molecular Medicine 7
  • Health 8
Replace Patrícia Mouta Nunes de Oliveira with:
Patrícia Mouta Nunes de Oliveira Brazil
Jean-Marie Kayembe Democratic Republic of the Congo
Safayet Jamil Bangladesh
Estrella Lasry Spain
Rozina Ambachew Ethiopia
Joel D. Bognini Burkina Faso
Ahsen Öncül Türkiye
Ismaila Théra Mali
Iona Munjal United States
Xavier Lescure France
Daniel Valia relative to Patrícia Mouta Nunes de Oliveira Brazil Patrícia Mouta Nunes de Oliveira's profile →
Citations per field
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Patrícia Mouta Nunes de Oliveira · 1×
Citations per year

Countries citing papers authored by Daniel Valia

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Valia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201935
2 20229
3 20188
4 20236
5 20225
6 20195
7 20234
8 20243
9 20212
10 20231
11 20241
12 20221
13 20230
14 20250

About Daniel Valia

Daniel Valia is a scholar working on Public Health, Environmental and Occupational Health, Applied Microbiology and Biotechnology, Pediatrics, Perinatology and Child Health, Epidemiology and Family Practice, having authored 14 papers that have together received 80 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (6 papers), Mosquito-borne diseases and control (5 papers), Global Maternal and Child Health (4 papers), Malaria Research and Control (3 papers), Pneumonia and Respiratory Infections (3 papers), Data-Driven Disease Surveillance (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (24 citations), Health Informatics (2 citations), Public Health, Environmental and Occupational Health (42 citations), Molecular Medicine (7 citations) and Health (8 citations). Daniel Valia has collaborated with scholars based in Burkina Faso, Belgium and Netherlands. Frequent co-authors include Halidou Tinto, Innocent Valéa, Anangisye Malabeja, Toussaint Rouamba, Samwel Gesase, Erik Jongert, Walter Otieno, Lode Schuerman, Yolanda Guerra Mendoza and John Lusingu. Their work appears in journals such as Clinical Infectious Diseases, Patient Preference and Adherence, Antimicrobial Resistance and Infection Control, BMJ Open and Global Health Action.

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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