Helen Bardwell

4.0k total citations · 1 hit paper
8 papers, 654 citations indexed

About

Helen Bardwell is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Helen Bardwell has authored 8 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Helen Bardwell's work include Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers) and Single-cell and spatial transcriptomics (2 papers). Helen Bardwell is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Cells and Metastasis (3 papers) and Single-cell and spatial transcriptomics (2 papers). Helen Bardwell collaborates with scholars based in United Kingdom, Canada and United States. Helen Bardwell's co-authors include Carlos Caldas, H. Raza Ali, Elena Provenzano, Suet‐Feung Chin, Oscar M. Rueda, Samuel Aparício, Christina Curtis, Roland F. Schwarz, Florian Markowetz and Gulisa Turashvili and has published in prestigious journals such as Nature Communications, Nature Genetics and British Journal of Cancer.

In The Last Decade

Helen Bardwell

7 papers receiving 645 citations

Hit Papers

Breast tumor microenvironment structures are associated w... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Bardwell United Kingdom 7 285 240 205 188 160 8 654
Andreas Heindl United Kingdom 12 290 1.0× 173 0.7× 171 0.8× 246 1.3× 202 1.3× 19 776
Vilppu J. Tuominen Finland 12 295 1.0× 164 0.7× 189 0.9× 285 1.5× 154 1.0× 13 816
Benoît Plancoulaine France 14 143 0.5× 174 0.7× 217 1.1× 184 1.0× 166 1.0× 40 596
Stephanie Robertson Sweden 14 430 1.5× 195 0.8× 298 1.5× 408 2.2× 296 1.9× 28 1.1k
Santiago González Spain 8 250 0.9× 190 0.8× 226 1.1× 101 0.5× 186 1.2× 12 615
James M. Dolezal United States 15 271 1.0× 192 0.8× 229 1.1× 112 0.6× 172 1.1× 29 679
Douglas Bowman United States 7 307 1.1× 95 0.4× 337 1.6× 281 1.5× 214 1.3× 8 882
Artem Shmatko Germany 5 534 1.9× 256 1.1× 379 1.8× 177 0.9× 320 2.0× 5 1.1k
Meriem Sefta France 5 143 0.5× 155 0.6× 347 1.7× 157 0.8× 305 1.9× 6 688
Clinton J.V. Campbell Canada 14 265 0.9× 85 0.4× 184 0.9× 126 0.7× 99 0.6× 31 809

Countries citing papers authored by Helen Bardwell

Since Specialization
Citations

This map shows the geographic impact of Helen Bardwell'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 Helen Bardwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Bardwell more than expected).

Fields of papers citing papers by Helen Bardwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen Bardwell. 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 Helen Bardwell. The network helps show where Helen Bardwell may publish in the future.

Co-authorship network of co-authors of Helen Bardwell

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

All Works

8 of 8 papers shown
1.
Nguyen, Long, Suet‐Feung Chin, Stephen‐John Sammut, et al.. (2025). Fitness and transcriptional plasticity of human breast cancer single-cell-derived clones. Cell Reports. 44(5). 115699–115699.
2.
Danenberg, Esther, Helen Bardwell, Vito Riccardo Tomaso Zanotelli, et al.. (2022). Breast tumor microenvironment structures are associated with genomic features and clinical outcome. Nature Genetics. 54(5). 660–669. 141 indexed citations breakdown →
3.
Caswell‐Jin, Jennifer L., Katherine McNamara, Johannes G. Reiter, et al.. (2019). Clonal replacement and heterogeneity in breast tumors treated with neoadjuvant HER2-targeted therapy. Nature Communications. 10(1). 657–657. 40 indexed citations
4.
Chin, Suet‐Feung, Ángela Santonja, Marta Grzelak, et al.. (2018). Shallow whole genome sequencing for robust copy number profiling of formalin-fixed paraffin-embedded breast cancers. Experimental and Molecular Pathology. 104(3). 161–169. 23 indexed citations
5.
Ali, H. Raza, Aliakbar Dariush, Elena Provenzano, et al.. (2016). Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer. Breast Cancer Research. 18(1). 21–21. 64 indexed citations
6.
Quesne, John Le, Julia Jones, Joanna Warren, et al.. (2012). Biological and prognostic associations of miR‐205 and let‐7b in breast cancer revealed by in situ hybridization analysis of micro‐RNA expression in arrays of archival tumour tissue. The Journal of Pathology. 227(3). 306–314. 67 indexed citations
7.
Yuan, Yinyin, Henrik Failmezger, Oscar M. Rueda, et al.. (2012). Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling. Science Translational Medicine. 4(157). 157ra143–157ra143. 311 indexed citations
8.
Donnelly, Elizabeth, Helen Bardwell, G Thomas, et al.. (2005). Metallothionein crypt-restricted immunopositivity indices (MTCRII) correlate with aberrant crypt foci (ACF) in mouse colon. British Journal of Cancer. 92(12). 2160–2165. 8 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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