Fernando Laender

6 papers receiving 100 citations

Peers

Fernando Laender
Comparison fields: 5 of 34
  • Health 41
  • Infectious Diseases 46
  • Cardiology and Cardiovascular Medicine 38
  • Epidemiology 57
  • Modeling and Simulation 5
Replace Mohammad Ahmad with:
Mohammad Ahmad India
Hugo Kavunga‐Membo Democratic Republic of the Congo
Stacey Knobler United States
Christel Hoest United States
Sergey V. Shulga Russia
Karin Schwarz Austria
Victoria Morris‐Glasgow Trinidad and Tobago
Charlotte Switzer Canada
Ana‐Maria Henao‐Restrepo Switzerland
M. Ridwan Said Ahmad Indonesia
Fernando Laender relative to Mohammad Ahmad India Mohammad Ahmad's profile →
Citations per field
00.5×2.6×
Mohammad Ahmad · 1×
Citations per year

Countries citing papers authored by Fernando Laender

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Laender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Fernando Laender, 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 Fernando Laender Line = papers co-authored together Fernando Laender links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 198843
2 200318
3 200417
4 202012
5 200312
6 19931
7
Manual de administración de sistemas de suministro de medicamentos y vacunas
19961

About Fernando Laender

Fernando Laender is a scholar working on Pediatrics, Perinatology and Child Health, Epidemiology, Health, Agronomy and Crop Science and Infectious Diseases, having authored 7 papers that have together received 104 indexed citations. Recurring topics across this work include Virology and Viral Diseases (3 papers), Pharmaceutical studies and practices (2 papers), Animal Disease Management and Epidemiology (2 papers), Vaccine Coverage and Hesitancy (2 papers), COVID-19 epidemiological studies (1 paper), Global Maternal and Child Health (1 paper), Zoonotic diseases and public health (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Health (41 citations), Infectious Diseases (46 citations), Cardiology and Cardiovascular Medicine (38 citations), Epidemiology (57 citations) and Modeling and Simulation (5 citations). Fernando Laender has collaborated with scholars based in United States, Brazil and Bolivia. Frequent co-authors include Marli Tenório Cordeiro, W. A. Orenstein, João Baptista Risi, Linda Venczel, Héctor S. Izurieta, Patrick Delorme, James G. Dobbins, Carlos Castillo‐Solórzano, Peter Carrasco and Ciro A. de Quadrós. Their work appears in journals such as The Journal of Infectious Diseases, Cadernos de Saúde Pública, The Lancet and Revista Panamericana de Salud Pública.

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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