Heather Estrella

1.8k total citations
7 papers, 231 citations indexed

About

Heather Estrella is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Heather Estrella has authored 7 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Heather Estrella's work include Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Heather Estrella is often cited by papers focused on Colorectal Cancer Treatments and Studies (4 papers), Genetic factors in colorectal cancer (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Heather Estrella collaborates with scholars based in United States, Switzerland and Belgium. Heather Estrella's co-authors include Mauro Delorenzi, Arnaud Roth, Fred T. Bosman, Vlad Popovici, Eva Budínská, Tao Xie, Sabine Tejpar, Scott L. Weinrich, Graeme Hodgson and Eric Van Cutsem and has published in prestigious journals such as Journal of Clinical Oncology, JNCI Journal of the National Cancer Institute and BMC Genomics.

In The Last Decade

Heather Estrella

6 papers receiving 228 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Heather Estrella United States 4 165 112 89 58 48 7 231
Krisida Cerma Italy 6 137 0.8× 57 0.5× 74 0.8× 47 0.8× 64 1.3× 9 214
Maria Bensi Italy 8 180 1.1× 81 0.7× 54 0.6× 58 1.0× 58 1.2× 33 245
Katherine Eason United Kingdom 5 112 0.7× 59 0.5× 63 0.7× 74 1.3× 26 0.5× 12 178
Maarten Neerincx Netherlands 7 151 0.9× 60 0.5× 106 1.2× 84 1.4× 89 1.9× 12 284
Kathryn L. DeJulius United States 7 260 1.6× 199 1.8× 99 1.1× 53 0.9× 54 1.1× 11 334
Lisa Dobbyn United States 4 140 0.8× 110 1.0× 56 0.6× 185 3.2× 67 1.4× 7 234
D. Páez López-Bravo Spain 5 148 0.9× 50 0.4× 77 0.9× 39 0.7× 58 1.2× 10 204
Shannon van Vliet Netherlands 9 116 0.7× 91 0.8× 68 0.8× 65 1.1× 31 0.6× 17 225
Natalie J. Wegner United States 4 290 1.8× 57 0.5× 211 2.4× 61 1.1× 51 1.1× 4 384
Patricia Llovet Spain 9 149 0.9× 135 1.2× 72 0.8× 72 1.2× 34 0.7× 16 240

Countries citing papers authored by Heather Estrella

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Heather Estrella

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Estrella. A scholar is included among the top collaborators of Heather Estrella 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 Heather Estrella. Heather Estrella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Andersson, Patrik, Sebastien A. Burel, Heather Estrella, et al.. (2025). Assessing Hybridization-Dependent Off-Target Risk for Therapeutic Oligonucleotides: Updated Industry Recommendations. Nucleic Acid Therapeutics. 35(1). 16–33. 3 indexed citations
2.
Huang, Xinqiang, Jill Magnus, Vivek Kaimal, et al.. (2017). Lipid Nanoparticle–Mediated Delivery of Anti-miR-17 Family Oligonucleotide Suppresses Hepatocellular Carcinoma Growth. Molecular Cancer Therapeutics. 16(5). 905–913. 16 indexed citations
3.
Narzo, Antonio Fabio Di, Sabine Tejpar, Simona Rossi, et al.. (2014). Test of Four Colon Cancer Risk-Scores in Formalin Fixed Paraffin Embedded Microarray Gene Expression Data. JNCI Journal of the National Cancer Institute. 106(10). 39 indexed citations
4.
Popovici, Vlad, Eva Budínská, Sabine Tejpar, et al.. (2012). Identification of a Poor-Prognosis BRAF-Mutant Like Populationof Patients With Colon Cancer. Journal of Clinical Oncology,30(12):12BB-1295, 2012. Journal of Clinical Oncology. 1 indexed citations
5.
Zhu, Zhou, Wenyue Hu, Heather Estrella, et al.. (2012). Dose-dependent effects of small-molecule antagonists on the genomic landscape of androgen receptor binding. BMC Genomics. 13(1). 355–355. 7 indexed citations
6.
Roth, Arnaud, Antonio Fabio Di Narzo, Sabine Tejpar, et al.. (2012). Validation of two gene-expression risk scores in a large colon cancer cohort and contribution to an improved prognostic method.. Journal of Clinical Oncology. 30(15_suppl). 3509–3509.
7.
Popovici, Vlad, Eva Budínská, Sabine Tejpar, et al.. (2012). Identification of a Poor-PrognosisBRAF-Mutant–Like Population of Patients With Colon Cancer. Journal of Clinical Oncology. 30(12). 1288–1295. 165 indexed citations

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.

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