Laura D. Hover
Impact in
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- Cancer Genomics and Diagnostics
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
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- TGF-β signaling in diseases 4
- Hedgehog Signaling Pathway Studies 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Philip Owens (5 shared papers)Harold L. Moses (4 shared papers)Anna Chytil (2 shared papers)Agnieszka E. Gorska (2 shared papers)Sergey V. Novitskiy (2 shared papers)Michael W. Pickup (2 shared papers)Ty William Abel (3 shared papers)Charles C. Hong (2 shared papers)
- Journals
- Neuro-Oncology (3 papers)Nature Communications (2 papers)Science (1 paper)Acta Neuropathologica (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesGermanySpain
In The Last Decade
Laura D. Hover
19 papers receiving 746 citations
Laura D. Hover's Hit Papers
Peers
Comparison fields: 5 of 58
- Cancer Research 139
- Genetics 90
- Oncology 202
- Molecular Biology 442
- Pathology and Forensic Medicine 49
Countries citing papers authored by Laura D. Hover
This map shows the geographic impact of Laura D. Hover'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 D. Hover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura D. Hover more than expected).
Fields of papers citing papers by Laura D. Hover
This network shows the impact of papers produced by Laura D. Hover. 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 D. Hover. The network helps show where Laura D. Hover may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura D. Hover, 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 | MRTX1719 Is an MTA-Cooperative PRMT5 Inhibitor That Exhibits Synthetic Lethality in Preclinical Models and Patients with MTAP -Deleted Cancer Hit paper breakdown → | 2023 | 151 |
| 2 | Adeno-to-squamous transition drives resistance to KRAS inhibition in LKB1 mutant lung cancer Hit paper breakdown → | 2024 | 93 |
| 3 | 2018 | 70 | |
| 4 | 2024 | 68 | |
| 5 | 2011 | 56 | |
| 6 | 2019 | 52 | |
| 7 | 2021 | 47 | |
| 8 | 2015 | 41 | |
| 9 | 2015 | 34 | |
| 10 | 2014 | 32 | |
| 11 | 2015 | 29 | |
| 12 | 2024 | 21 | |
| 13 | 2012 | 19 | |
| 14 | 2025 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2024 | 11 | |
| 17 | 2015 | 5 | |
| 18 | 2017 | 1 | |
| 19 | 2020 | 1 |
About Laura D. Hover
Laura D. Hover is a scholar working on Genetics, Molecular Biology, Pathology and Forensic Medicine, Biotechnology and Oncology, having authored 19 papers that have together received 756 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), TGF-β signaling in diseases (4 papers), Cancer Cells and Metastasis (2 papers), Cancer Research and Treatments (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Epigenetics and DNA Methylation (2 papers), MicroRNA in disease regulation (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Cancer Research (139 citations), Genetics (90 citations), Oncology (202 citations), Molecular Biology (442 citations) and Pathology and Forensic Medicine (49 citations). Laura D. Hover has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Philip Owens, Harold L. Moses, Anna Chytil, Agnieszka E. Gorska, Sergey V. Novitskiy, Michael W. Pickup, Ty William Abel, Charles C. Hong, Sophia Lisette Maund and Scott D. Cramer. Their work appears in journals such as Neuro-Oncology, Nature Communications, Science, Acta Neuropathologica and Molecular Cancer Therapeutics.
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.