Katie Wakeley

2.3k total citations · 1 hit paper
8 papers, 942 citations indexed

About

Katie Wakeley is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Nature and Landscape Conservation. According to data from OpenAlex, Katie Wakeley has authored 8 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Public Health, Environmental and Occupational Health, 3 papers in Reproductive Medicine and 2 papers in Nature and Landscape Conservation. Recurrent topics in Katie Wakeley's work include Ovarian cancer diagnosis and treatment (3 papers), BRCA gene mutations in cancer (2 papers) and Reproductive Biology and Fertility (2 papers). Katie Wakeley is often cited by papers focused on Ovarian cancer diagnosis and treatment (3 papers), BRCA gene mutations in cancer (2 papers) and Reproductive Biology and Fertility (2 papers). Katie Wakeley collaborates with scholars based in United States and China. Katie Wakeley's co-authors include Rebecca Sutphen, James P. LaPolla, Martin A Martino, George D. Wilbanks, Mitchell Hoffman, Alan Cantor, James V. Fiorica, Hector Arango, Jeffrey P. Krischer and Jenny Permuth‐Wey and has published in prestigious journals such as Cancer, Obstetrics and Gynecology and Behavioral Ecology and Sociobiology.

In The Last Decade

Katie Wakeley

7 papers receiving 919 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases

2005 524 citations Tuya Pal, Jenny Permuth‐Wey et al. Cancer profile →

Peers

Katie Wakeley

MB

RM

GENET

ONCOL

CR

Udo Stropp Germany

Nicole Manning United States

Rodrigo Fernandez‐Valdivia United States

Susan L. Fitzpatrick United States

Philippe Chambon France

Pilar Carvallo Chile

Nancy Kim United States

Annick Lucas France

Sebastián Giulianelli Argentina

Nathalie Allioli France

Udo Stropp Germany

Katie Wakeley

581 ×1.3

MB

365 ×0.9

RM

912 ×2.3

GENET

294 ×1.3

ONCOL

188 ×1.2

CR

Citations per year, relative to Katie Wakeley Katie Wakeley (= 1×) peers Udo Stropp

Countries citing papers authored by Katie Wakeley

Since Specialization

Citations

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

Fields of papers citing papers by Katie Wakeley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katie Wakeley

This figure shows the co-authorship network connecting the top 25 collaborators of Katie Wakeley. A scholar is included among the top collaborators of Katie Wakeley 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 Katie Wakeley. Katie Wakeley 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:

8 of 8 papers shown

1.

Greene, Mark H., Marion Piedmonte, Mitchell H. Gail, et al.. (2008). A Prospective Study of Risk-Reducing Salpingo-oophorectomy and Longitudinal CA-125 Screening among Women at Increased Genetic Risk of Ovarian Cancer: Design and Baseline Characteristics: A Gynecologic Oncology Group Study. Cancer Epidemiology Biomarkers & Prevention. 17(3). 594–604. 70 indexed citations

2.

Brooks, Sandra E., Susan Zweizig, & Katie Wakeley. (2006). Ovarian Cancer. Pathology Case Reviews. 11(1). 3–8. 1 indexed citations

3.

Pal, Tuya, Jenny Permuth‐Wey, Jeffrey P. Krischer, et al.. (2005). BRCA1 and BRCA2 mutations account for a large proportion of ovarian carcinoma cases. Cancer. 104(12). 2807–2816. 524 indexed citations breakdown →

4.

Sutphen, Rebecca, Yan Xu, George D. Wilbanks, et al.. (2004). Lysophospholipids Are Potential Biomarkers of Ovarian Cancer. Cancer Epidemiology Biomarkers & Prevention. 13(7). 1185–1191. 294 indexed citations

5.

Hoffman, Mitchel S., Katie Wakeley, & Richard J. Cardosi. (2003). Risks of Rigid Dilation for a Radiated Vaginal Cuff. Obstetrics and Gynecology. 101(Supplement). 1125–1126. 1 indexed citations

6.

Wakeley, Katie & Edward C. Grendys. (2000). Reproductive technologies and risk of ovarian cancer. Current Opinion in Obstetrics & Gynecology. 12(1). 43–47. 10 indexed citations

7.

Wolf, Larry L., et al.. (1997). Influences on variation in territorial tenures of male white-faced dragonflies (Leucorrhinia intacta) (Odonata: Libellulidae). Journal of Insect Behavior. 10(1). 31–47. 13 indexed citations

8.

Wolf, Larry L., et al.. (1989). Copulation duration and sperm competition in white-faced dragonflies (Leucorrhinia intacta; Odonata: Libellulidae). Behavioral Ecology and Sociobiology. 24(1). 63–68. 29 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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