Laura E. MacConaill
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 34
- Oncology top 1%
- Pathology and Forensic Medicine top 0.5%
- Genetic factors in colorectal cancer 7
- Genetics top 1%
- Genomics and Rare Diseases 6
- Chronic Lymphocytic Leukemia Research 6
- Molecular Biology top 2%
- Melanoma and MAPK Pathways 8
- Molecular Biology Techniques and Applications 6
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- Lung Cancer Treatments and Mutations 13
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- Ovarian cancer diagnosis and treatment 7
- Co-authors
- Levi A. GarrawayWilliam C. HahnMatthew MeyersonSarah M. KehoePaul Van HummelenMatthew D. DucarNeal I. LindemanFrank C. Kuo
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Laura E. MacConaill
88 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 1.7k
- Oncology 2.7k
- Pathology and Forensic Medicine 1.3k
- Genetics 641
- Molecular Biology 3.6k
Countries citing papers authored by Laura E. MacConaill
This map shows the geographic impact of Laura E. MacConaill'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 E. MacConaill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura E. MacConaill more than expected).
Fields of papers citing papers by Laura E. MacConaill
This network shows the impact of papers produced by Laura E. MacConaill. 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 E. MacConaill. The network helps show where Laura E. MacConaill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Laura E. MacConaill, 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 | 2024 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 9 | |
| 5 | 2020 | 3 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 25 | |
| 8 | 2016 | 88 | |
| 9 | 2016 | 61 | |
| 10 | 2015 | 101 | |
| 11 | 2012 | 37 | |
| 12 | 2012 | 59 | |
| 13 | Integrative Genomic Analysis Implicates Gain of PIK3CA at 3q26 and MYC at 8q24 in Chronic Lymphocytic Leukemia | 2012 | 3 |
| 14 | Dissecting Therapeutic Resistance to RAF Inhibition in Melanoma by Tumor Genomic Profilingbreakdown → | 2011 | 732 |
| 15 | 2011 | 384 | |
| 16 | 2011 | 298 | |
| 17 | 2011 | 64 | |
| 18 | Recurrent BRAF mutations in Langerhans cell histiocytosisbreakdown → | 2010 | 742 |
| 19 | 2010 | 107 | |
| 20 | 2008 | 69 |
About Laura E. MacConaill
Laura E. MacConaill is a scholar working on Cancer Research, Genetics and Oncology, having authored 91 papers that have together received 8.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (34 papers), Lung Cancer Treatments and Mutations (13 papers), Melanoma and MAPK Pathways (8 papers), Genetic factors in colorectal cancer (7 papers), Ovarian cancer diagnosis and treatment (7 papers), Genomics and Rare Diseases (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Molecular Biology Techniques and Applications (6 papers). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (2.7k citations) and Pathology and Forensic Medicine (1.3k citations). Laura E. MacConaill has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Levi A. Garraway, William C. Hahn, Matthew Meyerson, Sarah M. Kehoe, Paul Van Hummelen, Matthew D. Ducar, Neal I. Lindeman, Frank C. Kuo, Nikhil Wagle and Panisa Pochanard. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Blood, Modern Pathology and PLoS ONE.
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.