Carolina Gutiérrez
- Oncology top 1%
- Molecular Biology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Rachel SchiffC. Kent OsborneJenny C. ChangAnne C. PavlickGary C. ChamnessHiu Yung WongS. G. HilsenbeckJeffrey M. Rosen
- Topics
- HER2/EGFR in Cancer Research (19 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Breast Cancer Treatment Studies (5 papers)
- Journals
- Journal of Clinical OncologyMolecular and Cellular BiologyJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesSpainChile
In The Last Decade
Carolina Gutiérrez
46 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Oncology 2.2k
- Molecular Biology 1.5k
- Cancer Research 846
- Pulmonary and Respiratory Medicine 486
- Radiology, Nuclear Medicine and Imaging 461
Countries citing papers authored by Carolina Gutiérrez
This map shows the geographic impact of Carolina Gutiérrez'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 Carolina Gutiérrez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carolina Gutiérrez more than expected).
Fields of papers citing papers by Carolina Gutiérrez
This network shows the impact of papers produced by Carolina Gutiérrez. 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 Carolina Gutiérrez. The network helps show where Carolina Gutiérrez may publish in the future.
Co-authorship network of co-authors of Carolina Gutiérrez
This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Gutiérrez. A scholar is included among the top collaborators of Carolina Gutiérrez 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 Carolina Gutiérrez. Carolina Gutiérrez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 34 | |
| 5 | 31 | |
| 6 | 9 | |
| 7 | 27 | |
| 8 | 187 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 66 | |
| 12 | 77 | |
| 13 | 22 | |
| 14 | Intrinsic Resistance of Tumorigenic Breast Cancer Cells to Chemotherapybreakdown → | 1418 |
| 15 | 35 | |
| 16 | 104 | |
| 17 | 92 | |
| 18 | 42 | |
| 19 | 92 | |
| 20 | 23 |
About Carolina Gutiérrez
Carolina Gutiérrez is a scholar working on Oncology, Cancer Research and Genetics, having authored 47 papers that have together received 3.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (19 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Breast Cancer Treatment Studies (5 papers). The work is most often cited by research in Oncology (2.2k citations), Cancer Research (846 citations) and Molecular Biology (1.5k citations). Carolina Gutiérrez has collaborated with scholars based in United States, Spain and Chile. Frequent co-authors include Rachel Schiff, C. Kent Osborne, Jenny C. Chang, Anne C. Pavlick, Gary C. Chamness, Hiu Yung Wong, S. G. Hilsenbeck, Jeffrey M. Rosen, Michael T. Lewis and Xiaolei Zhang. Their work appears in journals such as Journal of Clinical Oncology, Molecular and Cellular Biology 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.