Loreall Pooler
Impact in
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- Genetic Associations and Epidemiology
- BRCA gene mutations in cancer
- Estrogen and related hormone effects
- Genetic and phenotypic traits in livestock
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 4
- BRCA gene mutations in cancer 3
- Nutrition, Genetics, and Disease 2
- Genetic and phenotypic traits in livestock 2
- Estrogen and related hormone effects 1
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- T-cell and B-cell Immunology 3
- Co-authors
- Christopher A. Haiman (11 shared papers)Daniel O. Stram (10 shared papers)Brian E. Henderson (5 shared papers)Iona Cheng (6 shared papers)Loı̈c Le Marchand (6 shared papers)Laurence N. Kolonel (2 shared papers)Xin Sheng (8 shared papers)Noël P. Burtt (3 shared papers)
- Journals
- Cancer Epidemiology Biomarkers & Prevention (3 papers)Biology of Blood and Marrow Transplantation (2 papers)Blood (2 papers)PLoS Genetics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Loreall Pooler
13 papers receiving 209 citations
Peers
Comparison fields: 5 of 43
- Genetics 67
- Cancer Research 33
- Endocrinology, Diabetes and Metabolism 34
- Transplantation 3
- Pulmonary and Respiratory Medicine 35
Countries citing papers authored by Loreall Pooler
This map shows the geographic impact of Loreall Pooler'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 Loreall Pooler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loreall Pooler more than expected).
Fields of papers citing papers by Loreall Pooler
This network shows the impact of papers produced by Loreall Pooler. 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 Loreall Pooler. The network helps show where Loreall Pooler may publish in the future.
Co-authors
The 25 scholars most cited alongside Loreall Pooler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 57 | |
| 2 | 2007 | 42 | |
| 3 | 2020 | 25 | |
| 4 | 2006 | 21 | |
| 5 | 2020 | 21 | |
| 6 | 2006 | 17 | |
| 7 | 2009 | 9 | |
| 8 | 2018 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2016 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2015 | 1 |
About Loreall Pooler
Loreall Pooler is a scholar working on Genetics, Immunology, Transplantation, Hematology and Molecular Biology, having authored 13 papers that have together received 216 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), BRCA gene mutations in cancer (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), T-cell and B-cell Immunology (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Nutrition, Genetics, and Disease (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Genetics (67 citations), Cancer Research (33 citations), Endocrinology, Diabetes and Metabolism (34 citations), Transplantation (3 citations) and Pulmonary and Respiratory Medicine (35 citations). Loreall Pooler has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Christopher A. Haiman, Daniel O. Stram, Brian E. Henderson, Iona Cheng, Loı̈c Le Marchand, Laurence N. Kolonel, Xin Sheng, Noël P. Burtt, Malcolm C. Pike and David Van Den Berg. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Biology of Blood and Marrow Transplantation, Blood, PLoS Genetics and Human Molecular Genetics.
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.