Danilo J. Xavier
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Obstetrics and Gynecology top 10%
- Gestational Diabetes Research and Management
- Pregnancy and preeclampsia studies
Papers in
-
- Peroxisome Proliferator-Activated Receptors 1
- DNA Repair Mechanisms 1
-
- MicroRNA in disease regulation 5
- Cancer-related molecular mechanisms research 2
- Co-authors
- Elza Tiemi Sakamoto‐Hojo (14 shared papers)Adriane Feijó Evangelista (10 shared papers)Eduardo Antônio Donadi (11 shared papers)Geraldo Aleixo Silva Passos (10 shared papers)Maria Cristina Foss‐Freitas (8 shared papers)Milton César Foss (7 shared papers)Cristhianna V. A. Collares (5 shared papers)Diane Meyre Rassi (6 shared papers)
- Journals
- Gene (2 papers)Molecular Biology Reports (1 paper)BioMed Research International (1 paper)The Journal of Rheumatology (1 paper)BMC Medical Genomics (1 paper)
- Partner nations
- BrazilFranceUnited Kingdom
In The Last Decade
Danilo J. Xavier
14 papers receiving 421 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 125
- Obstetrics and Gynecology 44
- Aging 4
- Molecular Biology 149
- Physiology 51
Countries citing papers authored by Danilo J. Xavier
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 129 | |
| 2 | 2014 | 52 | |
| 3 | 2012 | 50 | |
| 4 | 2018 | 38 | |
| 5 | 2018 | 35 | |
| 6 | 2014 | 30 | |
| 7 | 2013 | 22 | |
| 8 | 2014 | 21 | |
| 9 | 2015 | 19 | |
| 10 | 2014 | 14 | |
| 11 | 2022 | 11 | |
| 12 | 2010 | 4 | |
| 13 | 2013 | 2 | |
| 14 | Transcriptome analyses comparing the profiles of type 1, type 2 and gestational diabetes mellitus show differential expression of HLA and KIR genes | 2012 | 1 |
About Danilo J. Xavier
Danilo J. Xavier is a scholar working on Molecular Biology, Cancer Research, Physiology, Genetics and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 428 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Diabetes and associated disorders (3 papers), Cancer-related molecular mechanisms research (2 papers), Adipose Tissue and Metabolism (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), DNA Repair Mechanisms (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Cancer Research (125 citations), Obstetrics and Gynecology (44 citations), Aging (4 citations), Molecular Biology (149 citations) and Physiology (51 citations). Danilo J. Xavier has collaborated with scholars based in Brazil, France and United Kingdom. Frequent co-authors include Elza Tiemi Sakamoto‐Hojo, Adriane Feijó Evangelista, Eduardo Antônio Donadi, Geraldo Aleixo Silva Passos, Maria Cristina Foss‐Freitas, Milton César Foss, Cristhianna V. A. Collares, Diane Meyre Rassi, Denis Puthier and Cláudia Macedo. Their work appears in journals such as Gene, Molecular Biology Reports, BioMed Research International, The Journal of Rheumatology and BMC Medical Genomics.
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.