Sue Gerty

2.8k total citations
9 papers, 396 citations indexed

About

Sue Gerty is a scholar working on Genetics, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Sue Gerty has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Pathology and Forensic Medicine and 5 papers in Cancer Research. Recurrent topics in Sue Gerty's work include BRCA gene mutations in cancer (5 papers), Genetic factors in colorectal cancer (4 papers) and Breast Cancer Treatment Studies (4 papers). Sue Gerty is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Genetic factors in colorectal cancer (4 papers) and Breast Cancer Treatment Studies (4 papers). Sue Gerty collaborates with scholars based in United Kingdom, Australia and Singapore. Sue Gerty's co-authors include Diana Eccles, Ramsey Cutress, Tom Maishman, Lorraine Durcan, Ellen Copson, Peter Simmonds, Douglas G. Altman, Gill Lawrence, Judith M. Bliss and Bryony Eccles and has published in prestigious journals such as Nature Communications, JNCI Journal of the National Cancer Institute and Cancer Research.

In The Last Decade

Sue Gerty

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sue Gerty United Kingdom	7	223	216	148	87	66	9	396
Seung Sang Ko South Korea	7	257 1.2×	251 1.2×	121 0.8×	81 0.9×	106 1.6×	21	410
В. В. Семиглазов Russia	8	269 1.2×	345 1.6×	102 0.7×	47 0.5×	99 1.5×	83	505
Kenji Higaki Japan	11	159 0.7×	200 0.9×	68 0.5×	57 0.7×	53 0.8×	39	363
Jacquelyn Powers United States	11	156 0.7×	139 0.6×	324 2.2×	108 1.2×	110 1.7×	27	458
María Carolina Sanabria‐Salas Colombia	11	110 0.5×	131 0.6×	91 0.6×	66 0.8×	55 0.8×	34	289
Naama Halpern Israel	11	152 0.7×	280 1.3×	78 0.5×	115 1.3×	92 1.4×	49	454
Jacqueline Mersch United States	3	148 0.7×	173 0.8×	333 2.3×	185 2.1×	123 1.9×	9	544
B.A.M. Heemskerk-Gerritsen Netherlands	8	191 0.9×	125 0.6×	331 2.2×	79 0.9×	49 0.7×	13	440
J. Gronwald Poland	4	139 0.6×	187 0.9×	259 1.8×	124 1.4×	95 1.4×	4	401
Beth Dudley United States	13	176 0.8×	239 1.1×	59 0.4×	63 0.7×	273 4.1×	26	413

Countries citing papers authored by Sue Gerty

Since Specialization

Citations

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

Fields of papers citing papers by Sue Gerty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Gerty

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Recio‐Saucedo, Alejandra, Anthony Gilbert, Sue Gerty, et al.. (2018). “It’s Like We Don’t Exist”: Tailoring Education for Young Women Undergoing Surgery for Early-Stage Breast Cancer. Oncology nursing forum. 45(2). 165–175. 3 indexed citations

Kadalayil, Latha, Sofia Khan, Heli Nevanlinna, et al.. (2017). Germline variation in ADAMTSL1 is associated with prognosis following breast cancer treatment in young women. Nature Communications. 8(1). 1632–1632. 19 indexed citations

Maishman, Tom, Ramsey Cutress, Sue Gerty, et al.. (2016). Local Recurrence and Breast Oncological Surgery in Young Women With Breast Cancer. Annals of Surgery. 266(1). 165–172. 79 indexed citations

Recio‐Saucedo, Alejandra, Sue Gerty, Claire Foster, Diana Eccles, & Ramsey Cutress. (2015). Information requirements of young women with breast cancer treated with mastectomy or breast conserving surgery: A systematic review. The Breast. 25. 1–13. 48 indexed citations

Rafiq, Sajjad, William Tapper, Andrew Collins, et al.. (2013). Identification of Inherited Genetic Variations Influencing Prognosis in Early-Onset Breast Cancer. Cancer Research. 73(6). 1883–1891. 28 indexed citations

Copson, Ellen, Bryony Eccles, Tom Maishman, et al.. (2013). Prospective Observational Study of Breast Cancer Treatment Outcomes for UK Women Aged 18–40 Years at Diagnosis: The POSH Study. JNCI Journal of the National Cancer Institute. 105(13). 978–988. 141 indexed citations

Saladores, Pilar H., Werner Schroth, Diana Eccles, et al.. (2012). Abstract 2671: CYP2D6 polymorphisms are not associated with tamoxifen outcome in premenopausal women with ER positive breast cancer of the POSH cohort. Cancer Research. 72(8_Supplement). 2671–2671. 1 indexed citations

Tapper, William, Sue Gerty, Sarah Ennis, et al.. (2008). The influence of genetic variation in 30 selected genes on the clinical characteristics of early onset breast cancer. Breast Cancer Research. 10(6). R108–R108. 44 indexed citations

Eccles, Diana, et al.. (2007). Prospective study of Outcomes in Sporadic versus Hereditary breast cancer (POSH): study protocol. BMC Cancer. 7(1). 160–160. 33 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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