Laura Fejerman

3.5k total citations
60 papers, 1.1k citations indexed

About

Laura Fejerman is a scholar working on Genetics, Oncology and Cancer Research. According to data from OpenAlex, Laura Fejerman has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 30 papers in Oncology and 12 papers in Cancer Research. Recurrent topics in Laura Fejerman's work include BRCA gene mutations in cancer (27 papers), Global Cancer Incidence and Screening (23 papers) and Genetic Associations and Epidemiology (12 papers). Laura Fejerman is often cited by papers focused on BRCA gene mutations in cancer (27 papers), Global Cancer Incidence and Screening (23 papers) and Genetic Associations and Epidemiology (12 papers). Laura Fejerman collaborates with scholars based in United States, Mexico and Colombia. Laura Fejerman's co-authors include Elad Ziv, Esther M. John, Silvia J. Serrano‐Gómez, Eliseo J. Pérez‐Stable, Mariana C. Stern, Scott Huntsman, Esteban G. Burchard, María Carolina Sanabria‐Salas, Gabriela Torres-Mejı́a and Shweta Choudhry and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Laura Fejerman

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Fejerman United States 21 524 440 241 215 92 60 1.1k
Tara A. Russell United States 22 389 0.7× 434 1.0× 191 0.8× 129 0.6× 61 0.7× 63 1.4k
Philippe Vennin France 17 495 0.9× 310 0.7× 182 0.8× 231 1.1× 125 1.4× 56 1.1k
W. David Dotson United States 23 794 1.5× 306 0.7× 362 1.5× 339 1.6× 218 2.4× 34 1.7k
Carmel Apicella Australia 22 562 1.1× 584 1.3× 306 1.3× 259 1.2× 103 1.1× 39 1.2k
Alecia M. Fair United States 19 368 0.7× 269 0.6× 163 0.7× 218 1.0× 53 0.6× 34 1.0k
Yuyan Liao United States 19 187 0.4× 331 0.8× 145 0.6× 434 2.0× 81 0.9× 39 1.1k
S. E. Hankinson United States 7 263 0.5× 471 1.1× 265 1.1× 127 0.6× 93 1.0× 14 864
Veda N. Giri United States 20 422 0.8× 368 0.8× 246 1.0× 256 1.2× 192 2.1× 79 1.2k
Lisa Shah United States 15 198 0.4× 195 0.4× 146 0.6× 260 1.2× 29 0.3× 45 899
Lisa V. Smith United States 6 163 0.3× 534 1.2× 446 1.9× 212 1.0× 95 1.0× 8 858

Countries citing papers authored by Laura Fejerman

Since Specialization
Citations

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

Fields of papers citing papers by Laura Fejerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Fejerman

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

All Works

20 of 20 papers shown
1.
Fergus, Kirkpatrick B., Justin Y. Newberg, Laura Fejerman, et al.. (2025). Association between ancestry and tumor somatic mutations in a large national cohort of women with breast cancer. npj Breast Cancer. 11(1). 117–117.
2.
3.
Hoch, Jeffrey S., et al.. (2024). Cancer incidence among Armenians in California. Cancer Medicine. 13(5). e7100–e7100. 1 indexed citations
4.
Lou, Song, Yuqi Zhao, Ankita Singh, et al.. (2024). The TRIM37 variant rs57141087 contributes to triple-negative breast cancer outcomes in Black women. EMBO Reports. 26(1). 245–272.
5.
6.
Ding, Yuan Chun, Hanbing Song, Aaron W. Adamson, et al.. (2023). Profiling the Somatic Mutational Landscape of Breast Tumors from Hispanic/Latina Women Reveals Conserved and Unique Characteristics. Cancer Research. 83(15). 2600–2613. 7 indexed citations
7.
Zavala, Valentina A., Sandro Casavilca‐Zambrano, Carlos A. Castañeda, et al.. (2023). Breast cancer subtype and clinical characteristics in women from Peru. Frontiers in Oncology. 13. 938042–938042. 3 indexed citations
8.
Nieves-Colón, María A., Tatiana Vidaurre, Karla Sandoval, et al.. (2022). Uncovering Signals of Positive Selection in Peruvian Populations from Three Ecological Regions. Molecular Biology and Evolution. 39(8). 10 indexed citations
9.
Fejerman, Laura, Amelie G. Ramírez, Anna María Nápoles, Scarlett Lin Gomez, & Mariana C. Stern. (2022). Cancer Epidemiology in Hispanic Populations: What Have We Learned and Where Do We Need to Make Progress?. Cancer Epidemiology Biomarkers & Prevention. 31(5). 932–941. 20 indexed citations
10.
Martínez, Alejandra, Xiaosong Huang, Valentina A. Zavala, et al.. (2022). Cancer screening and breast cancer family history in Spanish-speaking Hispanic/Latina women in California. Frontiers in Oncology. 12. 940162–940162. 2 indexed citations
11.
Casavilca‐Zambrano, Sandro, Nilton Custodio, L. Esenarro, et al.. (2020). Depression in women with a diagnosis of breast cancer. Prevalence of symptoms of depression in Peruvian women with early breast cancer and related sociodemographic factors. Seminars in Oncology. 47(5). 293–301. 9 indexed citations
12.
Gomez, Scarlett Lin, et al.. (2020). Plasma glucocorticogenic activity, race/ethnicity and alcohol intake among San Francisco Bay Area women. PLoS ONE. 15(6). e0233904–e0233904. 1 indexed citations
13.
Stanczyk, Frank Z., et al.. (2019). Estrogenic activity, race/ethnicity, and Indigenous American ancestry among San Francisco Bay Area women. PLoS ONE. 14(3). e0213809–e0213809. 4 indexed citations
14.
Serrano‐Gómez, Silvia J., Laura Fejerman, & Jovanny Zabaleta. (2017). Breast Cancer in Latinas: A Focus on Intrinsic Subtypes Distribution. Cancer Epidemiology Biomarkers & Prevention. 27(1). 3–10. 25 indexed citations
15.
Hines, Lisa M., Rebecca L. Sedjo, Tim Byers, et al.. (2016). The Interaction between Genetic Ancestry and Breast Cancer Risk Factors among Hispanic Women: The Breast Cancer Health Disparities Study. Cancer Epidemiology Biomarkers & Prevention. 26(5). 692–701. 18 indexed citations
16.
Lundgreen, Abbie, Roger K. Wolff, Laura Fejerman, et al.. (2016). Red meat, poultry, and fish intake and breast cancer risk among Hispanic and Non-Hispanic white women: The Breast Cancer Health Disparities Study. Cancer Causes & Control. 27(4). 527–543. 20 indexed citations
17.
Santiago‐Torres, Margarita, Jean de Dieu Tapsoba, Mario Kratz, et al.. (2016). Genetic ancestry in relation to the metabolic response to a US versus traditional Mexican diet: a randomized crossover feeding trial among women of Mexican descent. European Journal of Clinical Nutrition. 71(3). 395–401. 5 indexed citations
18.
Fejerman, Laura, Mariana C. Stern, Esther M. John, et al.. (2015). Interaction between Common Breast Cancer Susceptibility Variants, Genetic Ancestry, and Nongenetic Risk Factors in Hispanic Women. Cancer Epidemiology Biomarkers & Prevention. 24(11). 1731–1738. 17 indexed citations
19.
Fejerman, Laura, Nasim Ahmadiyeh, Donglei Hu, et al.. (2014). Abstract LB-299: Genome wide association study of breast cancer in Latinas identifies protective variants of Indigenous American origin on 6q25. Cancer Research. 74(19_Supplement). LB–299.
20.
Fejerman, Laura, Christopher A. Haiman, David Reich, et al.. (2009). An Admixture Scan in 1,484 African American Women with Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 18(11). 3110–3117. 42 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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