Danilo J. Xavier

578 citations
14 papers · 422 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Pregnancy and preeclampsia studies
    • Gestational Diabetes Research and Management

Papers in

    • DNA Repair Mechanisms 2
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 5
    • Cancer-related molecular mechanisms research 3

Danilo J. Xavier

14 papers receiving 415 citations

Peers

Danilo J. Xavier
Comparison fields: 5 of 78
  • Cancer Research 154
  • Obstetrics and Gynecology 56
  • Aging 5
  • Molecular Biology 195
  • Immunology 56
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Citations per year

Countries citing papers authored by Danilo J. Xavier

Since Specialization
Citations

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

Fields of papers citing papers by Danilo J. Xavier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo J. Xavier. 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 Danilo J. Xavier. The network helps show where Danilo J. Xavier may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013129
2 201451
3 201250
4 201837
5 201833
6 201429
7 201322
8 201421
9 201519
10 201414
11 202210
12 20104
13 20132
14
Transcriptome analyses comparing the profiles of type 1, type 2 and gestational diabetes mellitus show differential expression of HLA and KIR genes
20121

About Danilo J. Xavier

Danilo J. Xavier is a scholar working on Molecular Biology, Cancer Research, Pediatrics, Perinatology and Child Health, Physiology and Genetics, having authored 14 papers that have together received 422 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (3 papers), Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (2 papers), DNA Repair Mechanisms (2 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (154 citations), Obstetrics and Gynecology (56 citations), Aging (5 citations), Molecular Biology (195 citations) and Immunology (56 citations). Danilo J. Xavier has collaborated with scholars based in Brazil, France and Spain. Frequent co-authors include Elza Tiemi Sakamoto‐Hojo, Adriane Feijó Evangelista, Eduardo Antônio Donadi, Maria Cristina Foss‐Freitas, Geraldo Aleixo Silva Passos, Milton César Foss, Cristhianna V. A. Collares, Diane Meyre Rassi, Denis Puthier and Cláudia Macedo. Their work appears in journals such as Gene, The Journal of Rheumatology, Bioorganic & Medicinal Chemistry, BioMed Research International and Journal of Alzheimer s Disease.

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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