Javier Cotignola
Impact in
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- Cancer, Hypoxia, and Metabolism
- Protease and Inhibitor Mechanisms
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- Heme Oxygenase-1 and Carbon Monoxide
- RNA modifications and cancer
Papers in
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- Heme Oxygenase-1 and Carbon Monoxide 7
- Muscle Physiology and Disorders 3
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- Cancer, Hypoxia, and Metabolism 4
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Elba S. Vázquez (21 shared papers)Geraldine Gueron (18 shared papers)Nora M. Navone (11 shared papers)Adriana De Siervi (5 shared papers)Estefanía Labanca (11 shared papers)Paola De Luca (3 shared papers)Irene Orlow (5 shared papers)Kevin Gardner (3 shared papers)
- Journals
- Oncotarget (3 papers)Journal of Investigative Dermatology (2 papers)International Journal of Molecular Sciences (2 papers)Biomolecules (2 papers)Antioxidants (2 papers)
- Partner nations
- ArgentinaUnited StatesAustralia
In The Last Decade
Javier Cotignola
32 papers receiving 561 citations
Peers
Comparison fields: 5 of 82
- Cancer Research 137
- Molecular Biology 331
- Oncology 128
- Immunology 83
- Biochemistry 20
Countries citing papers authored by Javier Cotignola
This map shows the geographic impact of Javier Cotignola'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 Cotignola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Cotignola more than expected).
Fields of papers citing papers by Javier Cotignola
This network shows the impact of papers produced by Javier Cotignola. 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 Cotignola. The network helps show where Javier Cotignola may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Cotignola, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 63 | |
| 2 | 2014 | 52 | |
| 3 | 2007 | 51 | |
| 4 | 2016 | 36 | |
| 5 | 2011 | 30 | |
| 6 | 2011 | 29 | |
| 7 | 2014 | 28 | |
| 8 | 2016 | 24 | |
| 9 | 2009 | 23 | |
| 10 | 2021 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2012 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2021 | 14 | |
| 16 | 2003 | 14 | |
| 17 | 2016 | 14 | |
| 18 | 2007 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2012 | 11 |
About Javier Cotignola
Javier Cotignola is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Biochemistry, having authored 32 papers that have together received 568 indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (7 papers), Prostate Cancer Treatment and Research (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Bone health and treatments (3 papers), Muscle Physiology and Disorders (3 papers), Cutaneous Melanoma Detection and Management (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (137 citations), Molecular Biology (331 citations), Oncology (128 citations), Immunology (83 citations) and Biochemistry (20 citations). Javier Cotignola has collaborated with scholars based in Argentina, United States and Australia. Frequent co-authors include Elba S. Vázquez, Geraldine Gueron, Nora M. Navone, Adriana De Siervi, Estefanía Labanca, Paola De Luca, Irene Orlow, Kevin Gardner, Cristian P. Moiola and Pía Valacco. Their work appears in journals such as Oncotarget, Journal of Investigative Dermatology, International Journal of Molecular Sciences, Biomolecules and Antioxidants.
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.