Javier Ángeles-Martínez

438 citations
27 papers · 352 indexed · h-index 13

Javier Ángeles-Martínez

27 papers receiving 349 citations

Peers

Javier Ángeles-Martínez
Comparison fields: 5 of 72
  • Immunology 132
  • Epidemiology 121
  • Nephrology 24
  • Infectious Diseases 53
  • Physiology 10
Replace Constanze Schoenemann with:
Constanze Schoenemann Germany
Sébastien Fauteux‐Daniel France
Marie L. Feser United States
Núria Amézaga Spain
Klaus Gerauer Germany
G. Beaurain France
Keith Zucker United States
F. J. Bemelman Netherlands
Sarvesh Chelvanambi United States
Nanda Venu United States
Javier Ángeles-Martínez relative to Constanze Schoenemann Germany Constanze Schoenemann's profile →
Citations per field
00.5×10×
Constanze Schoenemann · 1×
Citations per year

Countries citing papers authored by Javier Ángeles-Martínez

Since Specialization
Citations

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

Fields of papers citing papers by Javier Ángeles-Martínez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Ángeles-Martínez. 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 Javier Ángeles-Martínez. The network helps show where Javier Ángeles-Martínez may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20234
3 20231
4 20233
5 201814
6 201747
7 201726
8 20178
9 201714
10 20162
11 201615
12 201517
13 201512
14 201522
15 201411
16 201411
17 20141
18 201340
19 201322
20 201026

About Javier Ángeles-Martínez

Javier Ángeles-Martínez is a scholar working on Immunology, Modeling and Simulation and Epidemiology, having authored 27 papers that have together received 352 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Influenza Virus Research Studies (2 papers), COVID-19 epidemiological studies (2 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Immunology (132 citations), Epidemiology (121 citations) and Nephrology (24 citations). Javier Ángeles-Martínez has collaborated with scholars based in Mexico, Brazil and Canada. Frequent co-authors include Gilberto Vargas‐Alarcón, Carlos Posadas‐Romero, Rosalinda Posadas‐Sánchez, José Manuel Fragoso, Teresa Villarreal‐Molina, Nonanzit Pérez‐Hernández, José Manuel Rodrı́guez-Pérez, Edith Álvarez-León, Irma Eloísa Monroy-Muñoz and José Esteban Muñoz‐Medina. Their work appears in journals such as PLoS ONE, BioMed Research International, Cytokine, Immunology Letters and Experimental and Molecular Pathology.

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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