A Ashfield

470 total citations
10 papers, 351 citations indexed

About

A Ashfield is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, A Ashfield has authored 10 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in A Ashfield's work include Cancer-related Molecular Pathways (4 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Cancer Treatment Studies (2 papers). A Ashfield is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Cancer Treatment Studies (2 papers). A Ashfield collaborates with scholars based in United Kingdom, United States and Switzerland. A Ashfield's co-authors include Colin A. Purdie, Philip Quinlan, Lee B. Jordan, J A Dewar, Lee D. Baker, Alastair M. Thompson, Alastair M. Thompson, S. Ogston, Norman Pratt and Sanjoy Chatterjee and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

A Ashfield

9 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A Ashfield United Kingdom	6	229	186	144	71	59	10	351
C. Alexander United States	4	193 0.8×	310 1.7×	142 1.0×	91 1.3×	56 0.9×	5	403
Elizabeth Zarrella United States	4	132 0.6×	197 1.1×	93 0.6×	80 1.1×	75 1.3×	6	291
Jennie Jeong United States	6	174 0.8×	313 1.7×	230 1.6×	75 1.1×	54 0.9×	8	465
Marie Ahnström Waltersson Sweden	6	220 1.0×	146 0.8×	366 2.5×	81 1.1×	125 2.1×	10	503
Cristina Hernándo Spain	13	196 0.9×	178 1.0×	188 1.3×	72 1.0×	114 1.9×	46	414
Marie Klintman Sweden	11	203 0.9×	211 1.1×	116 0.8×	33 0.5×	57 1.0×	20	355
Kirsten Ritstier Netherlands	3	164 0.7×	208 1.1×	274 1.9×	124 1.7×	35 0.6×	3	426
Mervi Laakso Finland	5	279 1.2×	194 1.0×	196 1.4×	156 2.2×	45 0.8×	6	464
Monica Jernberg Engstrøm Norway	11	273 1.2×	242 1.3×	147 1.0×	67 0.9×	72 1.2×	21	472
Tanja Ovčariček Slovenia	7	169 0.7×	127 0.7×	127 0.9×	25 0.4×	117 2.0×	16	325

Countries citing papers authored by A Ashfield

Since Specialization

Citations

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

Fields of papers citing papers by A Ashfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Ashfield

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

All Works

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10 of 10 papers shown

Quinlan, Philip, Nigel P. Mongan, Lee B. Jordan, et al.. (2022). Cluster analyses of the TCGA and a TMA dataset using the coexpression of HSP27 and CRYAB improves alignment with clinical-pathological parameters of breast cancer and suggests different epichaperome influences for each sHSP. Cell Stress and Chaperones. 27(2). 177–188. 3 indexed citations

Kalsi, Tania, et al.. (2019). CGA DELIVERY FOR OLDER PATIENTS WITH PROSTATE CANCER RECEIVING ANDROGEN DEPRIVATION THERAPY. Journal of Geriatric Oncology. 10(6). S64–S65.

Purdie, Colin A., Philip Quinlan, Lee B. Jordan, et al.. (2013). Progesterone receptor expression is an independent prognostic variable in early breast cancer: a population-based study. British Journal of Cancer. 110(3). 565–572. 136 indexed citations

Grant, A, A Ashfield, Lee D. Baker, et al.. (2011). FGFR2 protein expression in breast cancer: nuclear localisation and correlation with patient genotype. BMC Research Notes. 4(1). 22 indexed citations

Purdie, Colin A., Lee D. Baker, A Ashfield, et al.. (2010). Increased mortality in HER2 positive, oestrogen receptor positive invasive breast cancer: a population-based study. British Journal of Cancer. 103(4). 475–481. 34 indexed citations

Baker, Lee D., Philip Quinlan, Nancy Patten, et al.. (2010). p53 mutation, deprivation and poor prognosis in primary breast cancer. British Journal of Cancer. 102(4). 719–726. 45 indexed citations

Quinlan, Philip, et al.. (2010). An integrated informatics platform to facilitate transforming tissue into knowledge. Breast Cancer Research. 12(S1). 2 indexed citations

Pratt, Norman, Colin A. Purdie, Lee D. Baker, et al.. (2009). High CCND1 amplification identifies a group of poor prognosis women with estrogen receptor positive breast cancer. International Journal of Cancer. 127(2). 355–360. 68 indexed citations

Paulin, F., Mary O’Neill, Andrew Cassidy, et al.. (2008). MDM2 SNP309 is associated with high grade node positive breast tumours and is in linkage disequilibrium with a novel MDM2 intron 1 polymorphism. BMC Cancer. 8(1). 281–281. 40 indexed citations

10.

Thompson, Alastair M., Nancy Patten, Alexandra Diot, et al.. (2007). The clinical relevance of p53 isoforms modifying the effects of p53 mutation on survival from breast cancer. Journal of Clinical Oncology. 25(18_suppl). 10505–10505. 1 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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