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Researcher · Basque Center for Applied Mathematics · Spain

Fernando Saldaña

Fernando Saldaña publishes mostly in Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases, on topics such as COVID-19 epidemiological studies, Mathematical and Theoretical Epidemiology and Ecology Models and Evolution and Genetic Dynamics.

ORCID 0000-0003-0558-1169 OpenAlex
World rank
#3,751,466
of 7,710,434 ranked researchers
Rank in Spain
#85,323
of 204,306
Works
48
Citations
332
Citations per work
6.9
h-index
10
i10-index 10Top 51% in Modeling and Simulation
Fernando Saldaña

What does Fernando Saldaña research?

Fernando Saldaña's work is mostly in Medicine (38%), Mathematics (20%), Biochemistry, Genetics and Molecular Biology (9%).

Health Sciences: 18 works · 38.2% of their workMedicine: 18 works · 38.2% of their workInfectious Diseases: 7 works · 13.8% of their workPublic Health, Environmental and Occupational Health: 7 works · 13.8% of their workEpidemiology: 5 works · 10.6% of their workEverything else: 14 works · 28.5% of their workPhysical Sciences: 10 works · 20.3% of their workMathematics: 10 works · 20.3% of their workModeling and Simulation: 10 works · 20.3% of their workLife Sciences: 4 works · 8.9% of their workBiochemistry, Genetics and Molecular Biology: 4 works · 8.9% of their workGenetics: 4 works · 8.9% of their workSocial Sciences: 2 works · 4.1% of their workSocial Sciences: 2 works · 4.1% of their workHealth: 2 works · 4.1% of their workTHEIR WORKFernando Saldaña48works
Life Sciences9%Physical Sciences20%Health Sciences38%Social Sciences4%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine1838.2%
  2. Everything else1428.5%
    1. Mathematics1020.3%
    1. Biochemistry, Genetics and Molecular Biology48.9%
    1. Social Sciences24.1%
  1. 1Modeling and Simulation20% of their works
  2. 2Public Health, Environmental and Occupational Health14% of their works
  3. 3Infectious Diseases14% of their works
  4. 4Epidemiology11% of their works
  5. 5Genetics9% of their works
  6. 6Health4% of their works

Research topics

Which keywords describe Fernando Saldaña's research?

The keywords of their largest research topics: Infectious Diseases, Epidemiology, COVID-19, Modeling, Mutation, Vaccine, Coronavirus and Immune Response.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 23 words, with their numbers
  1. Infectious Diseases372 topics
  2. Epidemiology292 topics
  3. COVID-19251 topic
  4. Modeling251 topic
  5. Mutation222 topics
  6. Vaccine193 topics
  7. Coronavirus152 topics
  8. Immune Response143 topics
  9. Disease Transmission121 topic
  10. Population Dynamics121 topic
  11. Adaptation111 topic
  12. Evolution111 topic
  13. SARS-CoV-2111 topic
  14. spike protein111 topic
  15. Pathogenesis82 topics
  16. Chronic Hepatitis B61 topic
  17. Hepatitis B Virus61 topic
  18. COVID-19 Vaccine51 topic
  19. Vaccine Hesitancy51 topic
  20. Circovirus41 topic
  21. Ebola Virus41 topic
  22. Outbreak41 topic
  23. Porcine Reproductive and Respiratory Syndrome Virus41 topic

Where does Fernando Saldaña work?

Fernando Saldaña's main affiliation in the publication record is Basque Center for Applied Mathematics, Spain.

How many publications and citations does Fernando Saldaña have?

OpenAlex counts 48 works and 332 citations for Fernando Saldaña, an h-index of 10, ranking #3,751,466 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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