Fernando Val

64 papers receiving 1.2k citations

Peers

Fernando Val
Comparison fields: 5 of 117
  • Virology 144
  • Infectious Diseases 198
  • Cardiology and Cardiovascular Medicine 202
  • Public Health, Environmental and Occupational Health 253
  • Parasitology 54
Replace Giustina De Silvestro with:
Giustina De Silvestro Italy
Ana Paula Fernandes Brazil
Catherine Amlie‐Lefond United States
Robert Beck Germany
Y. Pachéco France
Marco Rizzi Italy
J. Robert Burge United States
W. Jean Dodds United States
Michael Worthington Australia
Maria Heloı́sa Souza Lima Blotta Brazil
Fernando Val relative to Giustina De Silvestro Italy Giustina De Silvestro's profile →
Citations per field
00.5×
Giustina De Silvestro · 1×
Citations per year

Countries citing papers authored by Fernando Val

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Val

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200568
2 198568
3 202066
4 202066
5 201765
6 202164
7
Generation of chordae tendineae with polytetrafluoroethylene stents. Results of mitral valve chordal replacement in sheep.
198956
8 201452
9 197852
10 198950
11 202047
12 201932
13 201930
14 202028
15 202127
16 201724
17 199224
18 201724
19 201720
20 201718

About Fernando Val

Fernando Val is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Surgery, Epidemiology and Neurology, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include Malaria Research and Control (13 papers), Long-Term Effects of COVID-19 (12 papers), COVID-19 Clinical Research Studies (12 papers), Mosquito-borne diseases and control (12 papers), Venomous Animal Envenomation and Studies (11 papers), Cardiac Structural Anomalies and Repair (9 papers), Rabies epidemiology and control (9 papers) and Cardiac Valve Diseases and Treatments (6 papers). The work is most often cited by research in Virology (144 citations), Infectious Diseases (198 citations), Cardiology and Cardiovascular Medicine (202 citations), Public Health, Environmental and Occupational Health (253 citations) and Parasitology (54 citations). Fernando Val has collaborated with scholars based in Brazil, Spain and United States. Frequent co-authors include Marcus Lacerda, Wuelton Marcelo Monteiro, José M. Revuelta, Raúl Garcı́a-Rinaldi, Carlos M.G. Durán, Gisely Cardoso de Melo, F. Garijo, Luis Gaite, Edurne Artiñano and André M. Siqueira. Their work appears in journals such as Malaria Journal, Toxicon, Journal of Thoracic and Cardiovascular Surgery, International Journal of Environmental Research and Public Health and Scientific Reports.

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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