Jair Tenorio
- Molecular Biology
- Genetics top 10%
- Pulmonary and Respiratory Medicine top 10%
- Rheumatology top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Pablo LapunzinaPedro AriasVíctor Martínez‐GlezVíctor L. Ruiz‐PérezJulián NevadoPilar Escribano SubíasGema GordoJulián Palomino Doza
- Topics
- Pulmonary Hypertension Research and Treatments (27 papers)Genomic variations and chromosomal abnormalities (13 papers)Genetic Syndromes and Imprinting (10 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- SpainUnited StatesNetherlands
In The Last Decade
Jair Tenorio
63 papers receiving 932 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 344
- Genetics 329
- Pulmonary and Respiratory Medicine 295
- Rheumatology 161
- Cardiology and Cardiovascular Medicine 136
Countries citing papers authored by Jair Tenorio
This map shows the geographic impact of Jair Tenorio'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 Jair Tenorio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jair Tenorio more than expected).
Fields of papers citing papers by Jair Tenorio
This network shows the impact of papers produced by Jair Tenorio. 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 Jair Tenorio. The network helps show where Jair Tenorio may publish in the future.
Co-authorship network of co-authors of Jair Tenorio
This figure shows the co-authorship network connecting the top 25 collaborators of Jair Tenorio. A scholar is included among the top collaborators of Jair Tenorio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jair Tenorio. Jair Tenorio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 42 | |
| 19 | 33 | |
| 20 | 29 |
About Jair Tenorio
Jair Tenorio is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 76 papers that have together received 943 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (27 papers), Genomic variations and chromosomal abnormalities (13 papers) and Genetic Syndromes and Imprinting (10 papers). The work is most often cited by research in Genetics (329 citations), Rheumatology (161 citations) and Pulmonary and Respiratory Medicine (295 citations). Jair Tenorio has collaborated with scholars based in Spain, United States and Netherlands. Frequent co-authors include Pablo Lapunzina, Pedro Arias, Víctor Martínez‐Glez, Víctor L. Ruiz‐Pérez, Julián Nevado, Pilar Escribano Subías, Gema Gordo, Julián Palomino Doza, Sixto García‐Miñáur and Karen E. Heath. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.