Rafael Molina
- Molecular Biology top 10%
- Oncology top 10%
- Genetics
- Radiology, Nuclear Medicine and Imaging top 10%
- Cancer Research top 10%
- Co-authors
- J.A. HermosoGuillermo MontoyaVivian BarakP StieberR. EinarssonRamón GonzálezJ. Sanz‐AparicioMassimo Gion
- Topics
- CRISPR and Genetic Engineering (15 papers)RNA and protein synthesis mechanisms (11 papers)Enzyme Structure and Function (10 papers)
- Journals
- Journal of the American Chemical SocietyNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- SpainUnited StatesDenmark
In The Last Decade
Rafael Molina
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.0k
- Oncology 311
- Genetics 176
- Radiology, Nuclear Medicine and Imaging 163
- Cancer Research 163
Countries citing papers authored by Rafael Molina
This map shows the geographic impact of Rafael Molina'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 Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Molina more than expected).
Fields of papers citing papers by Rafael Molina
This network shows the impact of papers produced by Rafael Molina. 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 Molina. The network helps show where Rafael Molina may publish in the future.
Co-authorship network of co-authors of Rafael Molina
This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Molina. A scholar is included among the top collaborators of Rafael Molina 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 Molina. Rafael Molina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 48 | |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 28 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 53 | |
| 16 | 65 | |
| 17 | 40 | |
| 18 | Expression of HER-2/neu oncoprotein in human breast cancer: a comparison of immunohistochemical and western blot techniques. | 49 |
| 19 | 9 | |
| 20 | 32 |
About Rafael Molina
Rafael Molina is a scholar working on Molecular Biology, Business and International Management and Molecular Medicine, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (15 papers), RNA and protein synthesis mechanisms (11 papers) and Enzyme Structure and Function (10 papers). The work is most often cited by research in Molecular Biology (1.0k citations), Molecular Medicine (68 citations) and Biotechnology (114 citations). Rafael Molina has collaborated with scholars based in Spain, United States and Denmark. Frequent co-authors include J.A. Hermoso, Guillermo Montoya, Vivian Barak, P Stieber, R. Einarsson, Ramón González, J. Sanz‐Aparicio, Massimo Gion, Helena Goike and Nathalie Juge. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.
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.