Javier Suela
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Genomic variations and chromosomal abnormalities
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 12
- Genomic variations and chromosomal abnormalities 10
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- Congenital heart defects research 3
- Co-authors
- Juan C. Cigudosa (16 shared papers)Sara Álvarez (5 shared papers)Bibiana I. Ferreira (5 shared papers)Miguel Á. Piris (2 shared papers)Cristina Largo (3 shared papers)Marı́a José Calasanz (3 shared papers)Francesco Acquadro (3 shared papers)Felipe Prósper (2 shared papers)
- Journals
- Genes Chromosomes and Cancer (2 papers)Oncogene (2 papers)Haematologica (2 papers)American Journal Of Pathology (1 paper)PLoS ONE (1 paper)
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Javier Suela
29 papers receiving 524 citations
Peers
Comparison fields: 5 of 46
- Hematology 149
- Genetics 75
- Cancer Research 90
- Pathology and Forensic Medicine 74
- Nephrology 28
Countries citing papers authored by Javier Suela
This map shows the geographic impact of Javier Suela'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 Suela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Suela more than expected).
Fields of papers citing papers by Javier Suela
This network shows the impact of papers produced by Javier Suela. 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 Suela. The network helps show where Javier Suela may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Suela, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 61 | |
| 2 | 2008 | 53 | |
| 3 | 2007 | 48 | |
| 4 | 2010 | 39 | |
| 5 | 2007 | 38 | |
| 6 | 2016 | 37 | |
| 7 | 2011 | 37 | |
| 8 | 2007 | 30 | |
| 9 | 2007 | 29 | |
| 10 | 2013 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2004 | 15 | |
| 13 | 2013 | 14 | |
| 14 | 2010 | 11 | |
| 15 | 2010 | 9 | |
| 16 | 2012 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2017 | 8 | |
| 20 | 2012 | 5 |
About Javier Suela
Javier Suela is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Hematology and Pathology and Forensic Medicine, having authored 30 papers that have together received 532 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Prenatal Screening and Diagnostics (9 papers), Acute Myeloid Leukemia Research (5 papers), Cancer Genomics and Diagnostics (3 papers), Congenital heart defects research (3 papers), Fetal and Pediatric Neurological Disorders (3 papers), Tumors and Oncological Cases (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (149 citations), Genetics (75 citations), Cancer Research (90 citations), Pathology and Forensic Medicine (74 citations) and Nephrology (28 citations). Javier Suela has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Juan C. Cigudosa, Sara Álvarez, Bibiana I. Ferreira, Miguel Á. Piris, Cristina Largo, Marı́a José Calasanz, Francesco Acquadro, Felipe Prósper, David Blesa and Sandra Rodríguez. Their work appears in journals such as Genes Chromosomes and Cancer, Oncogene, Haematologica, American Journal Of Pathology and PLoS ONE.
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.