Andrew H. Sims

8.0k total citations · 1 hit paper
127 papers, 4.9k citations indexed

About

Andrew H. Sims is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Andrew H. Sims has authored 127 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Oncology, 67 papers in Molecular Biology and 47 papers in Cancer Research. Recurrent topics in Andrew H. Sims's work include Cancer Cells and Metastasis (26 papers), Breast Cancer Treatment Studies (25 papers) and Estrogen and related hormone effects (18 papers). Andrew H. Sims is often cited by papers focused on Cancer Cells and Metastasis (26 papers), Breast Cancer Treatment Studies (25 papers) and Estrogen and related hormone effects (18 papers). Andrew H. Sims collaborates with scholars based in United Kingdom, United States and Italy. Andrew H. Sims's co-authors include Robert B. Clarke, J. Michael Dixon, Anthony Howell, David J. Harrison, Çiğdem Selli, Göran Landberg, Richard R. Meehan, Arran Turnbull, Sacha J. Howell and Simon P. Langdon and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Andrew H. Sims

126 papers receiving 4.8k citations

Hit Papers

MEG3 long noncoding RNA regulates the TGF-β pathway genes... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Andrew H. Sims
Oliver Stoeltzing United States
Heide L. Ford United States
Dung‐Fang Lee United States
Andrew H. Sims
Citations per year, relative to Andrew H. Sims Andrew H. Sims (= 1×) peers Jiong Deng

Countries citing papers authored by Andrew H. Sims

Since Specialization
Citations

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

Fields of papers citing papers by Andrew H. Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew H. Sims. 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 Andrew H. Sims. The network helps show where Andrew H. Sims may publish in the future.

Co-authorship network of co-authors of Andrew H. Sims

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

All Works

20 of 20 papers shown
1.
Chen, Fuhui, David Novo, Çiğdem Selli, et al.. (2023). RAC1B function is essential for breast cancer stem cell maintenance and chemoresistance of breast tumor cells. Oncogene. 42(9). 679–692. 8 indexed citations
2.
Madden, Stephen F., James Hawley, Sara Charmsaz, et al.. (2021). Steroid Ligands, the Forgotten Triggers of Nuclear Receptor Action; Implications for Acquired Resistance to Endocrine Therapy. Clinical Cancer Research. 27(14). 3980–3989. 5 indexed citations
3.
Williams, R. H., Andrew H. Sims, Chunyan Mou, et al.. (2021). Elevated EDAR signalling promotes mammary gland tumourigenesis with squamous metaplasia. Oncogene. 41(7). 1040–1049. 9 indexed citations
4.
Talia, Marianna, Rosamaria Lappano, Andrew H. Sims, et al.. (2021). Activation of the S100A7/RAGE Pathway by IGF-1 Contributes to Angiogenesis in Breast Cancer. Cancers. 13(4). 621–621. 33 indexed citations
5.
Vella, Veronica, Alessandro La Ferlita, Michele Pellegrino, et al.. (2021). Novel Mechanisms of Tumor Promotion by the Insulin Receptor Isoform A in Triple-Negative Breast Cancer Cells. Cells. 10(11). 3145–3145. 17 indexed citations
6.
Lynn, Brittny C. Davis, et al.. (2020). Breast cancer gene expression datasets do not reflect the disease at the population level. npj Breast Cancer. 6(1). 39–39. 8 indexed citations
7.
Talia, Marianna, Damiano Cosimo Rigiracciolo, Antonino Belfiore, et al.. (2020). The G Protein-Coupled Estrogen Receptor (GPER) Expression Correlates with Pro-Metastatic Pathways in ER-Negative Breast Cancer: A Bioinformatics Analysis. Cells. 9(3). 622–622. 37 indexed citations
8.
Ma, Ruoyu, Hui Zhang, Xuefeng Li, et al.. (2020). Monocyte-derived macrophages promote breast cancer bone metastasis outgrowth. The Journal of Experimental Medicine. 217(11). 115 indexed citations
9.
Inda, Márcia A., Erik J. Blok, Peter J.K. Kuppen, et al.. (2019). Estrogen Receptor Pathway Activity Score to Predict Clinical Response or Resistance to Neoadjuvant Endocrine Therapy in Primary Breast Cancer. Molecular Cancer Therapeutics. 19(2). 680–689. 39 indexed citations
10.
Nirmal, Ajit J., Tim Regan, Barbara Shih, et al.. (2018). Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumors. Cancer Immunology Research. 6(11). 1388–1400. 135 indexed citations
11.
Patel, Hitesh, Morwenna Muir, Jocelyn Ward, et al.. (2018). Kindlin-1 Promotes Pulmonary Breast Cancer Metastasis. Cancer Research. 78(6). 1484–1496. 19 indexed citations
12.
Varešlija, Damir, Sara Charmsaz, Ailís Fagan, et al.. (2018). Epigenome-wide SRC-1–Mediated Gene Silencing Represses Cellular Differentiation in Advanced Breast Cancer. Clinical Cancer Research. 24(15). 3692–3703. 17 indexed citations
13.
Campbell, Kirsteen J., Sandeep Dhayade, Nicola Ferrari, et al.. (2018). MCL-1 is a prognostic indicator and drug target in breast cancer. Cell Death and Disease. 9(2). 19–19. 144 indexed citations
14.
Varešlija, Damir, Jean McBryan, Ailís Fagan, et al.. (2016). Adaptation to AI Therapy in Breast Cancer Can Induce Dynamic Alterations in ER Activity Resulting in Estrogen-Independent Metastatic Tumors. Clinical Cancer Research. 22(11). 2765–2777. 17 indexed citations
15.
Busch, Susann, Andrew H. Sims, Olle Stål, Mårten Fernö, & Göran Landberg. (2015). Loss of TGFβ Receptor Type 2 Expression Impairs Estrogen Response and Confers Tamoxifen Resistance. Cancer Research. 75(7). 1457–1469. 22 indexed citations
16.
Arthur, Laura, Arran Turnbull, Alexey A. Larionov, et al.. (2014). Molecular Changes in Lobular Breast Cancers in Response to Endocrine Therapy. Cancer Research. 74(19). 5371–5376. 25 indexed citations
17.
Murray, Euan, et al.. (2014). Engineering a synthetic cell panel to identify signalling components reprogrammed by the cell growth regulator anterior gradient-2. Molecular BioSystems. 10(6). 1409–1425. 15 indexed citations
18.
Keune, Willem‐Jan, Andrew H. Sims, D. I. Jones, et al.. (2013). Low PIP4K2B Expression in Human Breast Tumors Correlates with Reduced Patient Survival: A Role for PIP4K2B in the Regulation of E-Cadherin Expression. Cancer Research. 73(23). 6913–6925. 40 indexed citations
19.
Goldie, Stephen J., Klaas W. Mulder, David Wei‐Min Tan, et al.. (2012). FRMD4A Upregulation in Human Squamous Cell Carcinoma Promotes Tumor Growth and Metastasis and Is Associated with Poor Prognosis. Cancer Research. 72(13). 3424–3436. 46 indexed citations
20.
Ong, Kai Ren, Andrew H. Sims, Michelle Harvie, et al.. (2009). Biomarkers of Dietary Energy Restriction in Women at Increased Risk of Breast Cancer. Cancer Prevention Research. 2(8). 720–731. 39 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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