Heather Estrella
Impact in
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- Genetic factors in colorectal cancer
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- Colorectal Cancer Treatments and Studies
- Colorectal Cancer Screening and Detection
- Colorectal Cancer Surgical Treatments
Papers in
- Oncology 4
- Colorectal Cancer Treatments and Studies 4
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- RNA Interference and Gene Delivery 1
- Co-authors
- Tao Xie (4 shared papers)Vlad Popovici (4 shared papers)Fred T. Bosman (4 shared papers)Mauro Delorenzi (4 shared papers)Arnaud Roth (4 shared papers)Eva Budínská (3 shared papers)Sabine Tejpar (3 shared papers)Eric Van Cutsem (3 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Molecular Cancer Therapeutics (1 paper)BMC Genomics (1 paper)Nucleic Acid Therapeutics (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Heather Estrella
6 papers receiving 228 citations
Peers
Comparison fields: 5 of 38
- Pathology and Forensic Medicine 112
- Oncology 165
- Cancer Research 58
- Hepatology 15
- Pulmonary and Respiratory Medicine 48
Countries citing papers authored by Heather Estrella
This map shows the geographic impact of Heather Estrella'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 Heather Estrella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather Estrella more than expected).
Fields of papers citing papers by Heather Estrella
This network shows the impact of papers produced by Heather Estrella. 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 Heather Estrella. The network helps show where Heather Estrella may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather Estrella, 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 | 2012 | 165 | |
| 2 | 2014 | 39 | |
| 3 | 2017 | 16 | |
| 4 | 2012 | 7 | |
| 5 | 2025 | 3 | |
| 6 | Identification of a Poor-Prognosis BRAF-Mutant Like Populationof Patients With Colon Cancer. Journal of Clinical Oncology,30(12):12BB-1295, 2012 | 2012 | 1 |
| 7 | 2012 | 0 |
About Heather Estrella
Heather Estrella is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 231 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Gastric Cancer Management and Outcomes (2 papers), RNA Interference and Gene Delivery (1 paper), MicroRNA in disease regulation (1 paper), Prostate Cancer Treatment and Research (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (112 citations), Oncology (165 citations), Cancer Research (58 citations), Hepatology (15 citations) and Pulmonary and Respiratory Medicine (48 citations). Heather Estrella has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Tao Xie, Vlad Popovici, Fred T. Bosman, Mauro Delorenzi, Arnaud Roth, Eva Budínská, Sabine Tejpar, Eric Van Cutsem, Scott L. Weinrich and Graeme Hodgson. Their work appears in journals such as Journal of Clinical Oncology, Molecular Cancer Therapeutics, BMC Genomics, Nucleic Acid Therapeutics 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.