Fernando Martínez‐Arribas
- Co-authors
- J. SchneiderMarina PollánDavid AgudoFrancisco Gómez‐EsquerA. TejerinaGema Dı́az-GilRafael TorrejónTeresa Álvarez
- Topics
- Cell death mechanisms and regulation (5 papers)Cancer Cells and Metastasis (4 papers)Breast Cancer Treatment Studies (3 papers)
- Partner nations
- Spain
In The Last Decade
Fernando Martínez‐Arribas
16 papers receiving 352 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 258
- Oncology 119
- Cancer Research 105
- Genetics 34
- Pathology and Forensic Medicine 31
Countries citing papers authored by Fernando Martínez‐Arribas
This map shows the geographic impact of Fernando Martínez‐Arribas'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 Fernando Martínez‐Arribas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Martínez‐Arribas more than expected).
Fields of papers citing papers by Fernando Martínez‐Arribas
This network shows the impact of papers produced by Fernando Martínez‐Arribas. 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 Fernando Martínez‐Arribas. The network helps show where Fernando Martínez‐Arribas may publish in the future.
Co-authorship network of co-authors of Fernando Martínez‐Arribas
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Martínez‐Arribas. A scholar is included among the top collaborators of Fernando Martínez‐Arribas 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 Fernando Martínez‐Arribas. Fernando Martínez‐Arribas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | The small variant of the apoptosis-associated X-chromosome RBM10 gene is co-expressed with caspase-3 in breast cancer. | 15 |
| 3 | Bax expression in untreated breast cancer: an immunocytometric study of 255 cases. | 8 |
| 4 | Bcl-2 expression in breast cancer: a comparative study at the mRNA and protein level. | 34 |
| 5 | 2 | |
| 6 | Proliferation measurement in breast cancer by two different methods. | 5 |
| 7 | Circulating hormone levels in breast cancer patients. correlation with serum tumor markers and the clinical and biological features of the tumors. | 10 |
| 8 | 71 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 79 | |
| 12 | 7 | |
| 13 | mRNA expression of the angiogenesis markers VEGF and CD105 (endoglin) in human breast cancer. | 19 |
| 14 | Immunofluorometric study of Bcl-2 and Bax expression in clinical fresh tumor samples from breast cancer patients. | 18 |
| 15 | 46 | |
| 16 | Flow cytometry vs. Ki67 labelling index in breast cancer: a prospective evaluation of 181 cases. | 22 |
About Fernando Martínez‐Arribas
Fernando Martínez‐Arribas is a scholar working on Cancer Research, Oncology and Toxicology, having authored 16 papers that have together received 368 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Cancer Cells and Metastasis (4 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Cancer Research (105 citations), Oncology (119 citations) and Molecular Biology (258 citations). Fernando Martínez‐Arribas has collaborated with scholars based in Spain. Frequent co-authors include J. Schneider, Marina Pollán, David Agudo, Francisco Gómez‐Esquer, A. Tejerina, Gema Dı́az-Gil, Rafael Torrejón, Teresa Álvarez, Marı́a José Núñez and Rafael Linares. Their work appears in journals such as International Journal of Cancer, Gene and Journal of Cellular Biochemistry.
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.