Jane Arboleda
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cytokine Signaling Pathways and Interactions
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Oncology 6
- HER2/EGFR in Cancer Research 4
- Co-authors
- Richard J. Pietras (1 shared paper)Slamon Dj (1 shared paper)Pegram (1 shared paper)Liliana Ramos (1 shared paper)Dennis J. Slamon (2 shared papers)John Crown (2 shared papers)Charles Ginther (2 shared papers)Neil A. O’Brien (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)Journal of Clinical Oncology (1 paper)Cancer Research (1 paper)The Scientific World JOURNAL (1 paper)PubMed (3 papers)
- Partner nations
- United StatesIrelandIndia
In The Last Decade
Jane Arboleda
7 papers receiving 841 citations
Peers
Comparison fields: 5 of 72
- Oncology 575
- Radiology, Nuclear Medicine and Imaging 251
- Cancer Research 157
- Immunology and Allergy 56
- Genetics 239
Countries citing papers authored by Jane Arboleda
This map shows the geographic impact of Jane Arboleda'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 Jane Arboleda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Arboleda more than expected).
Fields of papers citing papers by Jane Arboleda
This network shows the impact of papers produced by Jane Arboleda. 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 Jane Arboleda. The network helps show where Jane Arboleda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Arboleda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | HER-2 tyrosine kinase pathway targets estrogen receptor and promotes hormone-independent growth in human breast cancer cells. | 1995 | 493 |
| 2 | 2010 | 249 | |
| 3 | Her-2/neu and urokinase-type plasminogen activator and its inhibitor in breast cancer. | 2001 | 58 |
| 4 | 1993 | 53 | |
| 5 | 2002 | 4 | |
| 6 | 2017 | 1 | |
| 7 | 2009 | 1 |
About Jane Arboleda
Jane Arboleda is a scholar working on Oncology, Molecular Biology, Genetics, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 859 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Treatments and Mutations (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Cell Adhesion Molecules Research (1 paper), Family Support in Illness (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Oncology (575 citations), Radiology, Nuclear Medicine and Imaging (251 citations), Cancer Research (157 citations), Immunology and Allergy (56 citations) and Genetics (239 citations). Jane Arboleda has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include Richard J. Pietras, Slamon Dj, Pegram, Liliana Ramos, Dennis J. Slamon, John Crown, Charles Ginther, Neil A. O’Brien, Michael J. Duffy and Brigid C. Browne. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Clinical Oncology, Cancer Research, The Scientific World JOURNAL and PubMed.
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.