Jane Arboleda
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cytokine Signaling Pathways and Interactions
- Peptidase Inhibition and Analysis
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- Breast Cancer Treatment Studies
Papers in
- Oncology 5
- HER2/EGFR in Cancer Research 3
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- Heat shock proteins research 1
- Co-authors
- Richard J. Pietras (1 shared paper)Liliana Ramos (1 shared paper)Slamon Dj (1 shared paper)Pegram (1 shared paper)Dennis J. Slamon (2 shared papers)Norma O’Donovan (2 shared papers)Yuhua Wang (1 shared paper)Lucy Chow (2 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Cancer Research (1 paper)Molecular Cancer Therapeutics (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 71
- Oncology 492
- Cancer Research 127
- Radiology, Nuclear Medicine and Imaging 183
- Genetics 222
- Immunology and Allergy 37
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 | 492 |
| 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 | 2009 | 1 | |
| 7 | 2017 | 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 858 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Estrogen and related hormone effects (1 paper), Heat shock proteins research (1 paper), Lung Cancer Treatments and Mutations (1 paper), Childhood Cancer Survivors' Quality of Life (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (492 citations), Cancer Research (127 citations), Radiology, Nuclear Medicine and Imaging (183 citations), Genetics (222 citations) and Immunology and Allergy (37 citations). Jane Arboleda has collaborated with scholars based in United States, Ireland and India. Frequent co-authors include Richard J. Pietras, Liliana Ramos, Slamon Dj, Pegram, Dennis J. Slamon, Norma O’Donovan, Yuhua Wang, Lucy Chow, Neil A. O’Brien and Michael J. Duffy. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics, 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.