Sharon E. Johnatty

2.2k total citations
15 papers, 262 citations indexed

About

Sharon E. Johnatty is a scholar working on Molecular Biology, Reproductive Medicine and Cancer Research. According to data from OpenAlex, Sharon E. Johnatty has authored 15 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Reproductive Medicine and 6 papers in Cancer Research. Recurrent topics in Sharon E. Johnatty's work include Ovarian cancer diagnosis and treatment (5 papers), Genetic factors in colorectal cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Sharon E. Johnatty is often cited by papers focused on Ovarian cancer diagnosis and treatment (5 papers), Genetic factors in colorectal cancer (4 papers) and Cancer-related molecular mechanisms research (3 papers). Sharon E. Johnatty collaborates with scholars based in Australia, United States and Austria. Sharon E. Johnatty's co-authors include Amanda B. Spurdle, Penelope M. Webb, Georgia Chenevix‐Trench, Jonathan Beesley, Xiaohong Chen, Eric Boerwinkle, Lawrence C. Shimmin, Richard B. Clark, Maha Abdellatif and Tracy A. O’Mara and has published in prestigious journals such as Cancer Research, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Sharon E. Johnatty

14 papers receiving 261 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharon E. Johnatty Australia 9 99 98 73 71 48 15 262
Mayuyo Mori‐Uchino Japan 8 107 1.1× 56 0.6× 41 0.6× 23 0.3× 39 0.8× 29 227
Doo Byung Chay South Korea 13 96 1.0× 84 0.9× 79 1.1× 18 0.3× 61 1.3× 27 311
J Belotte United States 10 107 1.1× 83 0.8× 78 1.1× 14 0.2× 39 0.8× 19 316
P.J. O'Donovan United Kingdom 6 152 1.5× 70 0.7× 47 0.6× 98 1.4× 55 1.1× 10 283
Genevieve Dall Australia 8 78 0.8× 135 1.4× 19 0.3× 77 1.1× 62 1.3× 10 270
Eva Baxter Australia 8 159 1.6× 49 0.5× 82 1.1× 19 0.3× 49 1.0× 10 334
Gwan Hee Han South Korea 12 114 1.2× 67 0.7× 38 0.5× 11 0.2× 42 0.9× 42 311
Minyu Chen China 8 179 1.8× 44 0.4× 37 0.5× 21 0.3× 72 1.5× 26 316
Qinyang Xu China 12 248 2.5× 36 0.4× 40 0.5× 21 0.3× 153 3.2× 19 398
Iason Psilopatis Germany 12 125 1.3× 51 0.5× 70 1.0× 23 0.3× 53 1.1× 42 279

Countries citing papers authored by Sharon E. Johnatty

Since Specialization
Citations

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

Fields of papers citing papers by Sharon E. Johnatty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon E. Johnatty. 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 Sharon E. Johnatty. The network helps show where Sharon E. Johnatty may publish in the future.

Co-authorship network of co-authors of Sharon E. Johnatty

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

All Works

15 of 15 papers shown
1.
Johnatty, Sharon E., Tina Pesaran, Jill S. Dolinsky, et al.. (2021). Case–case analysis addressing ascertainment bias for multigene panel testing implicates BRCA1 and PALB2 in endometrial cancer. Human Mutation. 42(10). 1265–1278. 3 indexed citations
2.
Nguyen, Anthony, John O’Dwyer, Thanh Vu, et al.. (2020). Generating high-quality data abstractions from scanned clinical records: text-mining-assisted extraction of endometrial carcinoma pathology features as proof of principle. BMJ Open. 10(6). e037740–e037740. 6 indexed citations
3.
Johnatty, Sharon E., Colin J.R. Stewart, Deborah S. Smith, et al.. (2020). Co-existence of leiomyomas, adenomyosis and endometriosis in women with endometrial cancer. Scientific Reports. 10(1). 3621–3621. 29 indexed citations
4.
Johnatty, Sharon E., Colin J.R. Stewart, Deborah S. Smith, et al.. (2018). Risk and prognostic factors for endometrial carcinoma after diagnosis of breast or Lynch‐associated cancers—A population‐based analysis. Cancer Medicine. 7(12). 6411–6422. 8 indexed citations
5.
Johnatty, Sharon E., Yen Y. Tan, Daniel D. Buchanan, et al.. (2017). Family history of cancer predicts endometrial cancer risk independently of Lynch Syndrome: Implications for genetic counselling. Gynecologic Oncology. 147(2). 381–387. 29 indexed citations
6.
Amankwah, Ernest K., Qinggang Wang, Ya-Yu Tsai, et al.. (2010). Abstract 2854: Genetic variation in stromal genes decorin and lumican and susceptibility to serous ovarian cancer. Cancer Research. 70(8_Supplement). 2854–2854.
7.
Beesley, Jonathan, Sharon E. Johnatty, Xiaohong Chen, et al.. (2010). No evidence for an association between the earwax-associated polymorphism in ABCC11 and breast cancer risk in Caucasian women. Breast Cancer Research and Treatment. 126(1). 235–239. 9 indexed citations
8.
Chenevix‐Trench, Georgia, Sharon E. Johnatty, Jonathan Beesley, et al.. (2010). Abstract 4727: TERT SNPs and ovarian cancer risk. Cancer Research. 70(8_Supplement). 4727–4727. 1 indexed citations
9.
Huang, R. Stephanie, Sharon E. Johnatty, Eric R. Gamazon, et al.. (2010). Abstract 2761: Germline polymorphism discovered via a cell-based genome-wide approach predicts platinum response in ovarian and head and neck cancers. Cancer Research. 70(8_Supplement). 2761–2761. 1 indexed citations
10.
Johnatty, Sharon E., Jonathan Beesley, Xiaohong Chen, et al.. (2009). Polymorphisms in the FGF2 Gene and Risk of Serous Ovarian Cancer: Results From the Ovarian Cancer Association Consortium. Twin Research and Human Genetics. 12(3). 269–275. 7 indexed citations
11.
Johnatty, Sharon E., Jonathan Beesley, James Paul, et al.. (2008). ABCB1 ( MDR 1 ) Polymorphisms and Progression-Free Survival among Women with Ovarian Cancer following Paclitaxel/Carboplatin Chemotherapy. Clinical Cancer Research. 14(17). 5594–5601. 73 indexed citations
12.
Johnatty, Sharon E., Jonathan Beesley, Xiaohong Chen, et al.. (2008). The BARD1 Cys557Ser polymorphism and breast cancer risk: an Australian case–control and family analysis. Breast Cancer Research and Treatment. 115(1). 145–150. 14 indexed citations
13.
Johnatty, Sharon E., Christina M. Nagle, Amanda B. Spurdle, et al.. (2007). The MnSOD Val9Ala polymorphism, dietary antioxidant intake, risk and survival in ovarian cancer (Australia). Gynecologic Oncology. 107(3). 388–391. 15 indexed citations
14.
Johnatty, Sharon E., Amanda B. Spurdle, Jonathan Beesley, et al.. (2007). Progesterone receptor polymorphisms and risk of breast cancer: results from two Australian breast cancer studies. Breast Cancer Research and Treatment. 109(1). 91–99. 30 indexed citations
15.
Johnatty, Sharon E., Maha Abdellatif, Lawrence C. Shimmin, Richard B. Clark, & Eric Boerwinkle. (2002). β2 adrenergic receptor 5′ haplotypes influence promoter activity. British Journal of Pharmacology. 137(8). 1213–1216. 37 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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