Rafael Mira-y-Lopez
- Molecular Biology
- Genetics top 10%
- Cancer Research top 10%
- Oncology
- Biochemistry top 5%
- Co-authors
- Yongkui JingLiliana OssowskiSamuel WaxmanEduardo FariasIra J. BleiweissE. ReichShigeo NakajoBrent N. Rexer
- Topics
- Retinoids in leukemia and cellular processes (17 papers)Estrogen and related hormone effects (12 papers)Protease and Inhibitor Mechanisms (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Rafael Mira-y-Lopez
25 papers receiving 764 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 591
- Genetics 250
- Cancer Research 211
- Oncology 142
- Biochemistry 118
Countries citing papers authored by Rafael Mira-y-Lopez
This map shows the geographic impact of Rafael Mira-y-Lopez'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 Rafael Mira-y-Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Mira-y-Lopez more than expected).
Fields of papers citing papers by Rafael Mira-y-Lopez
This network shows the impact of papers produced by Rafael Mira-y-Lopez. 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 Rafael Mira-y-Lopez. The network helps show where Rafael Mira-y-Lopez may publish in the future.
Co-authorship network of co-authors of Rafael Mira-y-Lopez
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Mira-y-Lopez. A scholar is included among the top collaborators of Rafael Mira-y-Lopez 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 Rafael Mira-y-Lopez. Rafael Mira-y-Lopez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 9 | |
| 3 | 18 | |
| 4 | 56 | |
| 5 | 44 | |
| 6 | 21 | |
| 7 | Retinoic acid receptor alpha2 is a growth suppressor epigenetically silenced in MCF-7 human breast cancer cells. | 35 |
| 8 | 41 | |
| 9 | 54 | |
| 10 | 82 | |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 35 | |
| 14 | 29 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 16 | |
| 18 | Hormonal modulation of plasminogen activator: an approach to prediction of human breast tumor responsiveness. | 26 |
| 19 | 23 | |
| 20 | Modulation of plasminogen activator in rodent mammary tumors by hormones and other effectors. | 48 |
About Rafael Mira-y-Lopez
Rafael Mira-y-Lopez is a scholar working on Biochemistry, Cancer Research and Genetics, having authored 25 papers that have together received 787 indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (17 papers), Estrogen and related hormone effects (12 papers) and Protease and Inhibitor Mechanisms (7 papers). The work is most often cited by research in Biochemistry (118 citations), Cancer Research (211 citations) and Immunology and Allergy (59 citations). Rafael Mira-y-Lopez has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Yongkui Jing, Liliana Ossowski, Samuel Waxman, Eduardo Farias, Ira J. Bleiweiss, E. Reich, Shigeo Nakajo, Brent N. Rexer, Kazuyasu Nakaya and John Mandeli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and JNCI Journal of the National Cancer Institute.
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.