Laura Fejerman
Impact in
- Genetics top 5%
- BRCA gene mutations in cancer
- Genetic Associations and Epidemiology
- Forensic and Genetic Research
- Race, Genetics, and Society
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
Papers in
- Co-authors
- Elad Ziv (16 shared papers)Silvia J. Serrano‐Gómez (8 shared papers)Esther M. John (17 shared papers)Eliseo J. Pérez‐Stable (9 shared papers)Mariana C. Stern (10 shared papers)Scott Huntsman (8 shared papers)Esteban G. Burchard (4 shared papers)María Carolina Sanabria‐Salas (6 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (9 papers)Cancer Research (7 papers)PLoS ONE (5 papers)Frontiers in Oncology (4 papers)Carcinogenesis (3 papers)
- Partner nations
- United StatesMexicoColombia
In The Last Decade
Laura Fejerman
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 109
- Genetics 415
- Cancer Research 166
- Oncology 299
- Aging 10
- Pathology and Forensic Medicine 60
Countries citing papers authored by Laura Fejerman
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
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-authors
The 25 scholars most cited alongside Laura Fejerman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2013 | 76 | |
| 3 | 2011 | 75 | |
| 4 | 2016 | 71 | |
| 5 | 2010 | 65 | |
| 6 | 2012 | 49 | |
| 7 | 2019 | 48 | |
| 8 | 2009 | 42 | |
| 9 | 2016 | 39 | |
| 10 | 2016 | 36 | |
| 11 | 2017 | 34 | |
| 12 | 2005 | 31 | |
| 13 | 2018 | 31 | |
| 14 | 2013 | 29 | |
| 15 | 2017 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2013 | 24 | |
| 18 | 2005 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2008 | 23 |
About Laura Fejerman
Laura Fejerman is a scholar working on Genetics, Oncology, Cancer Research, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (22 papers), Global Cancer Incidence and Screening (16 papers), Genetic Associations and Epidemiology (10 papers), Nutrition, Genetics, and Disease (7 papers), Cancer Risks and Factors (7 papers), Cancer Genomics and Diagnostics (4 papers), Breast Cancer Treatment Studies (3 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Genetics (415 citations), Cancer Research (166 citations), Oncology (299 citations), Aging (10 citations) and Pathology and Forensic Medicine (60 citations). Laura Fejerman has collaborated with scholars based in United States, Mexico and Colombia. Frequent co-authors include Elad Ziv, Silvia J. Serrano‐Gómez, Esther M. John, Eliseo J. Pérez‐Stable, Mariana C. Stern, Scott Huntsman, Esteban G. Burchard, María Carolina Sanabria‐Salas, Gabriela Torres-Mejı́a and Shweta Choudhry. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Cancer Research, PLoS ONE, Frontiers in Oncology and Carcinogenesis.
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.