Javier Dotor
- Immunology top 5%
- Immunotherapy and Immune Responses 5
- Oncology top 5%
- Cancer Cells and Metastasis 7
- Pancreatic and Hepatic Oncology Research 6
- Nephrology top 5%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism 3
- Molecular Biology top 10%
- TGF-β signaling in diseases 15
- Connective Tissue Growth Factor Research 4
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
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- Liver physiology and pathology 3
- Co-authors
- Francisco Borrás‐CuestaJuan José LasarteJesús PrìetoPablo SarobeGabriel Gallo-OllerRaquel OrdóñezPilar SandovalManuel López‐Cabrera
- Cited by
- ImmunologyOncologyNephrology
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Javier Dotor
45 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Immunology 511
- Oncology 573
- Nephrology 143
- Cancer Research 243
- Molecular Biology 936
Countries citing papers authored by Javier Dotor
This map shows the geographic impact of Javier Dotor'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 Dotor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Dotor more than expected).
Fields of papers citing papers by Javier Dotor
This network shows the impact of papers produced by Javier Dotor. 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 Dotor. The network helps show where Javier Dotor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier Dotor, 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 | 2022 | 8 | |
| 2 | 2018 | 17 | |
| 3 | 2018 | 143 | |
| 4 | 2014 | 43 | |
| 5 | 2014 | 6 | |
| 6 | 2013 | 31 | |
| 7 | 2012 | 18 | |
| 8 | 2012 | 28 | |
| 9 | 2010 | 55 | |
| 10 | 2010 | 63 | |
| 11 | 2008 | 81 | |
| 12 | 2008 | 57 | |
| 13 | 2008 | 15 | |
| 14 | 2008 | 43 | |
| 15 | 2008 | 91 | |
| 16 | 2007 | 44 | |
| 17 | 2007 | 12 | |
| 18 | 2007 | 32 | |
| 19 | 2005 | 138 | |
| 20 | 2003 | 107 |
About Javier Dotor
Javier Dotor is a scholar working on Hepatology, Oncology, Immunology and Allergy, Immunology and Nephrology, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (15 papers), Cancer Cells and Metastasis (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Immunotherapy and Immune Responses (5 papers), Connective Tissue Growth Factor Research (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Liver physiology and pathology (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Immunology (511 citations), Oncology (573 citations), Nephrology (143 citations), Cancer Research (243 citations) and Molecular Biology (936 citations). Javier Dotor has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Francisco Borrás‐Cuesta, Juan José Lasarte, Jesús Prìeto, Pablo Sarobe, Gabriel Gallo-Oller, Raquel Ordóñez, Pilar Sandoval, Manuel López‐Cabrera, Noëlia Casares and Pedro Majano. Their work appears in journals such as Cancer Research, PLoS ONE, Cytokine, The Journal of Pathology and The Journal of Immunology.
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.