Javier A. Menéndez
- Molecular Biology top 0.2%
- Cancer Research top 0.05%
- Oncology top 0.5%
- Surgery top 2%
- Epidemiology top 2%
- Co-authors
- Ruth LupuAlejandro Vázquez‐MartínCristina Oliveras‐FerrarosBegoña Martı́n-CastilloRámón ColomerJorge JovenLuciano VellónSílvia Cufí
- Topics
- Cancer, Lipids, and Metabolism (69 papers)Metabolism, Diabetes, and Cancer (49 papers)Cancer, Hypoxia, and Metabolism (43 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Oncology
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Javier A. Menéndez
309 papers receiving 16.3k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 10.1k
- Cancer Research 6.3k
- Oncology 3.8k
- Surgery 1.6k
- Epidemiology 1.6k
Countries citing papers authored by Javier A. Menéndez
This map shows the geographic impact of Javier A. Menéndez'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 A. Menéndez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier A. Menéndez more than expected).
Fields of papers citing papers by Javier A. Menéndez
This network shows the impact of papers produced by Javier A. Menéndez. 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 A. Menéndez. The network helps show where Javier A. Menéndez may publish in the future.
Co-authorship network of co-authors of Javier A. Menéndez
This figure shows the co-authorship network connecting the top 25 collaborators of Javier A. Menéndez. A scholar is included among the top collaborators of Javier A. Menéndez 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 Javier A. Menéndez. Javier A. Menéndez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 40 | |
| 4 | 18 | |
| 5 | 11 | |
| 6 | 62 | |
| 7 | 33 | |
| 8 | 4 | |
| 9 | 19 | |
| 10 | 137 | |
| 11 | 21 | |
| 12 | 25 | |
| 13 | 9 | |
| 14 | 64 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 76 | |
| 18 | 33 | |
| 19 | Anti-CD9 antibody, AR40A746.2.3, inhibits tumor growth in pancreatic and breast cancer models and recognizes CD9 on CD34+CD38- leukemic cancer stem cells. | 2 |
| 20 | Regulation of Fatty Acid Synthase (FAS) gene expression by Peroxisome Proliferator-activated receptor-gamma (PPARγ) is dependent of Her-2/neu (erbB-2) signaling in breast cancer cells | 3 |
About Javier A. Menéndez
Javier A. Menéndez is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 314 papers that have together received 16.6k indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (69 papers), Metabolism, Diabetes, and Cancer (49 papers) and Cancer, Hypoxia, and Metabolism (43 papers). The work is most often cited by research in Cancer Research (6.3k citations), Molecular Biology (10.1k citations) and Biochemistry (857 citations). Javier A. Menéndez has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Ruth Lupu, Alejandro Vázquez‐Martín, Cristina Oliveras‐Ferraros, Begoña Martı́n-Castillo, Rámón Colomer, Jorge Joven, Luciano Vellón, Sílvia Cufí, Elisabet Cuyàs and Joaquim Bosch‐Barrera. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Oncology.
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.