Fernando Mateos

32 papers receiving 617 citations

Peers

Fernando Mateos
Comparison fields: 5 of 83
  • Clinical Biochemistry 45
  • Pediatrics, Perinatology and Child Health 50
  • Neurology 53
  • Infectious Diseases 63
  • Endocrinology 12
Replace Takeshi Matsushige with:
Takeshi Matsushige Japan
Noriko Kondo Japan
Ahmet Yaramış Türkiye
Subhadra Jalali India
Maaike Alaerts Belgium
Stefan Kastenbauer Germany
David R. Jacoby United States
Ferenc Somogyvári Hungary
Marja E. Jakobs Netherlands
Jiatang Zhang China
Fernando Mateos relative to Takeshi Matsushige Japan Takeshi Matsushige's profile →
Citations per field
00.5×2×3.2×
Takeshi Matsushige · 1×
Citations per year

Countries citing papers authored by Fernando Mateos

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 200457
3 202248
4 201147
5 201239
6 199936
7 200136
8 198932
9 200030
10 200228
11 200527
12 201627
13 199525
14 199622
15 198218
16 200217
17 199915
18 198714
19 201414
20 200911

About Fernando Mateos

Fernando Mateos is a scholar working on Clinical Biochemistry, Infectious Diseases, Pediatrics, Perinatology and Child Health, Neurology and Cell Biology, having authored 36 papers that have together received 653 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (5 papers), Metabolism and Genetic Disorders (5 papers), Fetal and Pediatric Neurological Disorders (3 papers), Neonatal and fetal brain pathology (3 papers), Zebrafish Biomedical Research Applications (3 papers), T-cell and B-cell Immunology (2 papers), Mitochondrial Function and Pathology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Clinical Biochemistry (45 citations), Pediatrics, Perinatology and Child Health (50 citations), Neurology (53 citations), Infectious Diseases (63 citations) and Endocrinology (12 citations). Fernando Mateos has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Rogelio Simón, Ana Camacho, Raimund J. Ober, Jinchun Zhou, Elizabeth Sally Ward, Cristian Soza‐Ried, Norimasa Iwanami, Alberto Villarejo‐Galende, Michael Schorpp and Isabell Hess. Their work appears in journals such as Pediatric Neurology, Cell Reports, Journal of Antimicrobial Chemotherapy, Clinical Infectious Diseases and Neuroradiology.

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.

Explore authors with similar magnitude of impact