Lisa Dyer
Impact in
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- Cancer Genomics and Diagnostics
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- Blood properties and coagulation
- Renal cell carcinoma treatment
Papers in
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- Epigenetics and DNA Methylation 5
- Genetics 8
- Genomic variations and chromosomal abnormalities 5
- Blood disorders and treatments 3
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Kevin D. Brown (7 shared papers)Lingbao Ai (4 shared papers)Berna Demircan (2 shared papers)Keith D. Robertson (3 shared papers)Wan-Ju Kim (2 shared papers)Nicole Massoll (1 shared paper)Edward K. Lobenhofer (1 shared paper)Jingxin Qiu (2 shared papers)
- Journals
- Carcinogenesis (2 papers)European Journal of Medical Genetics (1 paper)Genes Chromosomes and Cancer (1 paper)Blood (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Lisa Dyer
22 papers receiving 422 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 79
- Pulmonary and Respiratory Medicine 129
- Molecular Biology 236
- Genetics 18
- Oncology 44
Countries citing papers authored by Lisa Dyer
This map shows the geographic impact of Lisa Dyer'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 Lisa Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa Dyer more than expected).
Fields of papers citing papers by Lisa Dyer
This network shows the impact of papers produced by Lisa Dyer. 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 Lisa Dyer. The network helps show where Lisa Dyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Lisa Dyer, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 88 | |
| 2 | 2018 | 55 | |
| 3 | 2008 | 48 | |
| 4 | 2011 | 48 | |
| 5 | 2008 | 46 | |
| 6 | 2010 | 31 | |
| 7 | 2011 | 30 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2017 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2017 | 5 | |
| 16 | 2013 | 3 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2021 | 2 |
About Lisa Dyer
Lisa Dyer is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Hematology and Physiology, having authored 22 papers that have together received 423 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Epigenetics and DNA Methylation (5 papers), Erythrocyte Function and Pathophysiology (3 papers), Blood disorders and treatments (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Renal cell carcinoma treatment (2 papers), Blood groups and transfusion (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (79 citations), Pulmonary and Respiratory Medicine (129 citations), Molecular Biology (236 citations), Genetics (18 citations) and Oncology (44 citations). Lisa Dyer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Kevin D. Brown, Lingbao Ai, Berna Demircan, Keith D. Robertson, Wan-Ju Kim, Nicole Massoll, Edward K. Lobenhofer, Jingxin Qiu, Amber L. Delmas and Dawn A. Kirschmann. Their work appears in journals such as Carcinogenesis, European Journal of Medical Genetics, Genes Chromosomes and Cancer, Blood and Journal of Neuro-Oncology.
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.