Fernando Ulloa

440 citations
28 papers · 298 · h-index 8

Impact in

    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism

Papers in

Fernando Ulloa

23 papers receiving 288 citations

Peers

Fernando Ulloa
Comparison fields: 5 of 73
  • Pharmacology 92
  • Hepatology 28
  • Genetics 29
  • Infectious Diseases 46
  • Agronomy and Crop Science 25
Replace Zeinab Demerdash with:
Zeinab Demerdash Egypt
Javid P. Mohammed United States
Parastoo Hosseini Iran
Beniamino Schiavone Italy
Zike Zhang China
Xuewen Deng Japan
Ina Kowalski Germany
Hai Li China
Yeo‐Jin Son South Korea
Arian Karimi Rouzbahani Iran
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Citations per field
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Citations per year

Countries citing papers authored by Fernando Ulloa

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Ulloa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The influence of risk factors on the severity of anti-tuberculosis drug-induced hepatotoxicity.
2004100
2 200657
3 200347
4 201328
5 201812
6 199610
7 20179
8 20247
9 20184
10 20194
11 20243
12
[Evaluation of various criteria for the interpretation of western blot for the diagnosis of human immunodeficiency virus infection. Spanish Group for the Study of HIV-2].
19933
13 20222
14 20212
15 20251
16 20241
17 20231
18 20251
19 20231
20 20241

About Fernando Ulloa

Fernando Ulloa is a scholar working on Agronomy and Crop Science, Food Science, Epidemiology, Infectious Diseases and Molecular Biology, having authored 28 papers that have together received 298 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (8 papers), Probiotics and Fermented Foods (6 papers), Mycobacterium research and diagnosis (5 papers), Microbial infections and disease research (3 papers), Animal Genetics and Reproduction (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Animal Disease Management and Epidemiology (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Pharmacology (92 citations), Hepatology (28 citations), Genetics (29 citations), Infectious Diseases (46 citations) and Agronomy and Crop Science (25 citations). Fernando Ulloa has collaborated with scholars based in Chile, Italy and Spain. Frequent co-authors include Luis Piñeiro, B. Sopeña, Mar Mosteiro, Alberto Fernández‐Villar, Virginia Leiro, Molly Nelson-Holte, Laura Lien, Yuehua Jiang, Masayuki Oki and C. Martínez-Vázquez. Their work appears in journals such as Antibiotics, Veterinary Research Communications, Journal of Dairy Science, BMC Microbiology and Experimental Hematology.

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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