Jenna Scott

771 total citations
9 papers, 283 citations indexed

About

Jenna Scott is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Sociology and Political Science. According to data from OpenAlex, Jenna Scott has authored 9 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Sociology and Political Science. Recurrent topics in Jenna Scott's work include BRCA gene mutations in cancer (7 papers), Nutrition, Genetics, and Disease (2 papers) and Cancer Genomics and Diagnostics (2 papers). Jenna Scott is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Nutrition, Genetics, and Disease (2 papers) and Cancer Genomics and Diagnostics (2 papers). Jenna Scott collaborates with scholars based in Canada and United States. Jenna Scott's co-authors include Charmaine Kim‐Sing, Kelly Metcalfe, Steven A. Narod, Janice S. Kwon, Charlotte C. Sun, C. Blake Gilks, Molly S. Daniels, Karen H. Lu, Amy Finch and Doug Horsman and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Cancer and Psycho-Oncology.

In The Last Decade

Jenna Scott

9 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jenna Scott Canada 6 155 99 79 75 38 9 283
Dominique Thouvenin France 9 113 0.7× 66 0.7× 45 0.6× 29 0.4× 19 0.5× 33 297
Terrence P. Cescon United States 10 115 0.7× 84 0.8× 175 2.2× 40 0.5× 30 0.8× 18 332
Sherry Grumet United States 6 322 2.1× 80 0.8× 75 0.9× 59 0.8× 56 1.5× 13 428
Elaine Hiller United States 6 393 2.5× 88 0.9× 145 1.8× 140 1.9× 23 0.6× 9 526
Rebecca Doherty United Kingdom 8 182 1.2× 45 0.5× 71 0.9× 72 1.0× 13 0.3× 28 345
Kristen J. Vogel United States 13 231 1.5× 80 0.8× 125 1.6× 100 1.3× 25 0.7× 19 430
Julie Erlichman United States 8 279 1.8× 69 0.7× 102 1.3× 103 1.4× 14 0.4× 9 382
Anna von Wachenfeldt Sweden 6 134 0.9× 25 0.3× 109 1.4× 96 1.3× 45 1.2× 14 270
Margaret M. McGovern United States 9 257 1.7× 72 0.7× 57 0.7× 55 0.7× 24 0.6× 13 344
Ryan Noss United States 10 182 1.2× 42 0.4× 60 0.8× 48 0.6× 14 0.4× 17 339

Countries citing papers authored by Jenna Scott

Since Specialization
Citations

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

Fields of papers citing papers by Jenna Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jenna Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Jenna Scott. A scholar is included among the top collaborators of Jenna Scott 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 Jenna Scott. Jenna Scott 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.
Marvin, Monica, Dawn C. Allain, Erin P. Carmany, et al.. (2025). Genetic counseling program director competencies as proposed by the program leadership development subcommittee of the Genetic Counselor Educators Association. Journal of Genetic Counseling. 34(3). e70044–e70044. 1 indexed citations
2.
Scott, Jenna, et al.. (2023). Comparing Machine Learning Models to Determine Which is Most Effective at Detecting Brain Tumors. Journal of Student Research. 12(1). 2 indexed citations
3.
Scott, Jenna, et al.. (2020). The Canadian genetic counseling workforce: Perspectives from employers and recent graduates. Journal of Genetic Counseling. 30(2). 406–417. 11 indexed citations
4.
Pataky, Reka, Linlea Armstrong, Stephen Chia, et al.. (2013). Cost-effectiveness of MRI for breast cancer screening in BRCA1/2 mutation carriers. BMC Cancer. 13(1). 339–339. 40 indexed citations
5.
Kwon, Janice S., Jenna Scott, C. Blake Gilks, et al.. (2011). Testing Women With Endometrial Cancer to Detect Lynch Syndrome. Journal of Clinical Oncology. 29(16). 2247–2252. 77 indexed citations
6.
Esplen, Mary Jane, Noreen Stuckless, Jonathan Hunter, et al.. (2009). The BRCA Self‐Concept Scale: a new instrument to measure self‐concept in BRCA1/2 mutation carriers. Psycho-Oncology. 18(11). 1216–1229. 48 indexed citations
7.
McCullum, Mary, et al.. (2009). Evaluation of Group Genetic Counseling for Hereditary Breast and Ovarian Cancer. Journal of Genetic Counseling. 18(1). 87–100. 20 indexed citations
8.
Metcalfe, Kelly, Amy Finch, Aletta Poll, et al.. (2008). Breast cancer risks in women with a family history of breast or ovarian cancer who have tested negative for a BRCA1 or BRCA2 mutation. British Journal of Cancer. 100(2). 421–425. 80 indexed citations
9.
Metcalfe, Kelly, Amy Finch, Aletta Poll, et al.. (2008). Abstract B7: Breast cancer risks in women with a family history of breast or ovarian cancer who have tested negative for a BRCA1 or BRCA2 mutation. Cancer Prevention Research. 1(7_Supplement). B7–B7. 4 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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