Matilde R. Chacón

4.0k citations
74 papers · 3.0k indexed · h-index 33

Impact in

    • Vibrio bacteria research studies
  • Immunology top 2%
    • Aquaculture disease management and microbiota

Papers in

Matilde R. Chacón

74 papers receiving 2.9k citations

Peers

Matilde R. Chacón
Comparison fields: 5 of 124
  • Endocrinology 468
  • Immunology 1.2k
  • Microbiology 211
  • Cancer Research 347
  • Molecular Biology 1.2k
Replace Kris Chadee with:
Kris Chadee Canada
Johnny W. Peterson United States
Teruo Miyazaki Japan
Danielle Malo Canada
Jenny K. Gustafsson Sweden
Julia-Stefanie Frick Germany
Hak Sun Yu South Korea
Hui Sun China
Marie‐Agnès Dillies France
Peter B. Ernst United States
Matilde R. Chacón relative to Kris Chadee Canada Kris Chadee's profile →
Citations per field
00.5×1.5×
Kris Chadee · 1×
Citations per year

Countries citing papers authored by Matilde R. Chacón

Since Specialization
Citations

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

Fields of papers citing papers by Matilde R. Chacón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matilde R. Chacón. 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 Matilde R. Chacón. The network helps show where Matilde R. Chacón may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20155
3 2015191
4 201414
5 201414
6 201329
7 201323
8 201244
9 201057
10 200944
11 200912
12 200823
13 200839
14 200739
15 200719
16 200725
17 200245
18 199540
19
The use of a digoxigenin-labelled synthetic DNA oligonucleotide for the rapid and sensitive identification of Meloidogyne incognita
19931
20 19913

About Matilde R. Chacón

Matilde R. Chacón is a scholar working on Endocrinology, Cancer Research, Immunology, Microbiology and Epidemiology, having authored 74 papers that have together received 3.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (15 papers), Aquaculture disease management and microbiota (14 papers), NF-κB Signaling Pathways (9 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Vibrio bacteria research studies (7 papers), Adipose Tissue and Metabolism (7 papers), Bacteriophages and microbial interactions (6 papers) and Parasite Biology and Host Interactions (5 papers). The work is most often cited by research in Endocrinology (468 citations), Immunology (1.2k citations), Microbiology (211 citations), Cancer Research (347 citations) and Molecular Biology (1.2k citations). Matilde R. Chacón has collaborated with scholars based in Spain, United Kingdom and Mexico. Frequent co-authors include L. Soler, María José Figueras, Joan Vendrell, Josep Guarro, Antonio Martínez‐Murcia, José Manuel Fernández‐Real, Graciela Castro‐Escarpulli, Ma. Guadalupe Aguilera‐Arreola, Elsa Maymó‐Masip and Merce Miranda. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Frontiers in Immunology, Obesity and Metabolism.

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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