Leigh Pearce

447 total citations
9 papers, 204 citations indexed

About

Leigh Pearce is a scholar working on Genetics, Oncology and Reproductive Medicine. According to data from OpenAlex, Leigh Pearce has authored 9 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Oncology and 3 papers in Reproductive Medicine. Recurrent topics in Leigh Pearce's work include BRCA gene mutations in cancer (3 papers), Cancer Risks and Factors (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Leigh Pearce is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Cancer Risks and Factors (3 papers) and Ovarian cancer diagnosis and treatment (3 papers). Leigh Pearce collaborates with scholars based in United States, United Kingdom and Australia. Leigh Pearce's co-authors include Rosa Legood, Usha Menon, Ranjit Manchanda, Kathryn Anastos, Mardge H. Cohen, Georgia Chenevix‐Trench, Andrew Berchuck, Simon A. Gayther, Susan J. Ramus and Chenglong Liu and has published in prestigious journals such as Cancer Research, BJOG An International Journal of Obstetrics & Gynaecology and Gynecologic Oncology.

In The Last Decade

Leigh Pearce

9 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leigh Pearce United States 7 53 51 48 37 36 9 204
Verónica Rojas Chile 7 87 1.6× 119 2.3× 20 0.4× 33 0.9× 8 0.2× 20 333
Marilyn L. Scott United States 10 7 0.1× 99 1.9× 58 1.2× 17 0.5× 28 0.8× 18 353
Maian Roifman Canada 9 19 0.4× 196 3.8× 76 1.6× 14 0.4× 9 0.3× 20 354
Ayelén Toro Argentina 10 22 0.4× 82 1.6× 17 0.4× 55 1.5× 3 0.1× 21 406
Anupama Tiwari United States 9 10 0.2× 73 1.4× 9 0.2× 39 1.1× 14 0.4× 21 250
F Clavel France 8 14 0.3× 33 0.6× 63 1.3× 77 2.1× 18 284
Sarah Dickson United Kingdom 8 138 2.6× 222 4.4× 33 0.7× 4 0.1× 9 0.3× 17 524
Helen Bolton United Kingdom 8 96 1.8× 177 3.5× 110 2.3× 9 0.2× 3 0.1× 23 524
D.F. Archer United States 7 61 1.2× 35 0.7× 187 3.9× 55 1.5× 2 0.1× 21 383
Donna O’Neil United Kingdom 7 39 0.7× 98 1.9× 36 0.8× 9 0.2× 4 0.1× 16 249

Countries citing papers authored by Leigh Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Leigh Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leigh Pearce

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

All Works

9 of 9 papers shown
1.
Kaur, Paramdeep, Andrew Berchuck, Leigh Pearce, et al.. (2024). Metformin use and survival in people with ovarian cancer: A population-based cohort study from British Columbia, Canada. Neoplasia. 56. 101026–101026. 3 indexed citations
2.
Manchanda, Ranjit, et al.. (2017). Commentary on changing the risk threshold for surgical prevention of ovarian cancer. BJOG An International Journal of Obstetrics & Gynaecology. 125(5). 541–544. 7 indexed citations
3.
Manchanda, Ranjit, Rosa Legood, Leigh Pearce, & Usha Menon. (2015). Defining the risk threshold for risk reducing salpingo-oophorectomy for ovarian cancer prevention in low risk postmenopausal women. Gynecologic Oncology. 139(3). 487–494. 34 indexed citations
4.
Permuth‐Wey, Jennifer, Brett M. Reid, Y. Ann Chen, et al.. (2015). Abstract 4635: Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility. Cancer Research. 75(15_Supplement). 4635–4635. 1 indexed citations
5.
Gustafson, Deborah, Michelle M. Mielke, Phyllis C. Tien, et al.. (2013). Anthropometric measures and cognition in middle-aged HIV-infected and uninfected women. The Women’s Interagency HIV Study. Journal of NeuroVirology. 19(6). 574–585. 20 indexed citations
6.
Crystal, Howard, Kathryn Anastos, Jason Lazar, et al.. (2011). Effects of Hepatitis C and HIV on Cognition in Women. JAIDS Journal of Acquired Immune Deficiency Syndromes. 59(2). 149–154. 17 indexed citations
7.
Crystal, Howard, Sara Hamon, Matthew Randesi, et al.. (2010). A C17T polymorphism in the mu opiate receptor is associated with quantitative measures of drug use in African American women. Addiction Biology. 17(1). 181–191. 34 indexed citations
8.
Feldman, Joseph, Ruth M. Greenblatt, Kathryn Anastos, et al.. (2009). CYP1A1Genotype Modifies the Impact of Smoking on Effectiveness of HAART Among Women. AIDS Education and Prevention. 21(3_supplement). 81–93. 34 indexed citations
9.
Fasching, Peter A., Simon A. Gayther, Leigh Pearce, et al.. (2009). Role of genetic polymorphisms and ovarian cancer susceptibility. Molecular Oncology. 3(2). 171–181. 54 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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