Isabel Martínez-Lacaci
- Molecular Biology top 10%
- Oncology top 10%
- Cell Biology top 10%
- Cancer Research
- Genetics
- Co-authors
- Miguel SacedaEstefanía Carrasco‐GarcíaPilar García-MoralesDavid S. SalomonCaterina BiancoJosé A. FerragutBrenda Wallace‐JonesAndreas D. Ebert
- Topics
- HER2/EGFR in Cancer Research (9 papers)Estrogen and related hormone effects (5 papers)Cancer-related Molecular Pathways (5 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Isabel Martínez-Lacaci
30 papers receiving 981 citations
Peers
Comparison fields: 5 of 84
- Molecular Biology 698
- Oncology 409
- Cell Biology 141
- Cancer Research 131
- Genetics 104
Countries citing papers authored by Isabel Martínez-Lacaci
This map shows the geographic impact of Isabel Martínez-Lacaci'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 Isabel Martínez-Lacaci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabel Martínez-Lacaci more than expected).
Fields of papers citing papers by Isabel Martínez-Lacaci
This network shows the impact of papers produced by Isabel Martínez-Lacaci. 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 Isabel Martínez-Lacaci. The network helps show where Isabel Martínez-Lacaci may publish in the future.
Co-authorship network of co-authors of Isabel Martínez-Lacaci
This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Martínez-Lacaci. A scholar is included among the top collaborators of Isabel Martínez-Lacaci 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 Isabel Martínez-Lacaci. Isabel Martínez-Lacaci is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 15 | |
| 6 | 45 | |
| 7 | 23 | |
| 8 | 56 | |
| 9 | 8 | |
| 10 | 33 | |
| 11 | 46 | |
| 12 | 30 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 65 | |
| 16 | Cripto-1 induces phosphatidylinositol 3'-kinase-dependent phosphorylation of AKT and glycogen synthase kinase 3beta in human cervical carcinoma cells. | 52 |
| 17 | 87 | |
| 18 | 15 | |
| 19 | 16 | |
| 20 | 42 |
About Isabel Martínez-Lacaci
Isabel Martínez-Lacaci is a scholar working on Oncology, Molecular Biology and Toxicology, having authored 30 papers that have together received 992 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (9 papers), Estrogen and related hormone effects (5 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Oncology (409 citations), Molecular Biology (698 citations) and Cancer Research (131 citations). Isabel Martínez-Lacaci has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Miguel Saceda, Estefanía Carrasco‐García, Pilar García-Morales, David S. Salomon, Caterina Bianco, José A. Ferragut, Brenda Wallace‐Jones, Andreas D. Ebert, Christian Wechselberger and Robert B. Dickson. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Endocrinology.
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.