Hope E. Burks
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
Papers in
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- Histone Deacetylase Inhibitors Research 6
- Epigenetics and DNA Methylation 4
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 11
- Cancer Cells and Metastasis 7
- HER2/EGFR in Cancer Research 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Matthew E. Burow (19 shared papers)Bridgette M. Collins‐Burow (17 shared papers)Elizabeth C. Martin (8 shared papers)Bruce A. Bunnell (7 shared papers)Steven Elliott (12 shared papers)Van T. Hoang (9 shared papers)Margarite D. Matossian (13 shared papers)Lyndsay V. Rhodes (6 shared papers)
- Journals
- PLoS ONE (3 papers)Cancer Research (3 papers)Journal of Investigative Dermatology (2 papers)Molecular Cancer Research (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Hope E. Burks
26 papers receiving 414 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 100
- Oncology 161
- Molecular Biology 228
- Cell Biology 52
- Dermatology 19
Countries citing papers authored by Hope E. Burks
This map shows the geographic impact of Hope E. Burks'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 Hope E. Burks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hope E. Burks more than expected).
Fields of papers citing papers by Hope E. Burks
This network shows the impact of papers produced by Hope E. Burks. 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 Hope E. Burks. The network helps show where Hope E. Burks may publish in the future.
Co-authors
The 25 scholars most cited alongside Hope E. Burks, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 81 | |
| 2 | 2019 | 53 | |
| 3 | 2019 | 31 | |
| 4 | 2016 | 28 | |
| 5 | 2015 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 22 | |
| 9 | 2018 | 16 | |
| 10 | 2014 | 15 | |
| 11 | 2017 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2023 | 10 | |
| 16 | 2021 | 10 | |
| 17 | 2023 | 9 | |
| 18 | 2022 | 5 | |
| 19 | 2017 | 4 | |
| 20 | 2020 | 3 |
About Hope E. Burks
Hope E. Burks is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Cancer Research, having authored 27 papers that have together received 417 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Epigenetics and DNA Methylation (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Skin Protection and Aging (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer-related Molecular Pathways (3 papers) and melanin and skin pigmentation (3 papers). The work is most often cited by research in Cancer Research (100 citations), Oncology (161 citations), Molecular Biology (228 citations), Cell Biology (52 citations) and Dermatology (19 citations). Hope E. Burks has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Matthew E. Burow, Bridgette M. Collins‐Burow, Elizabeth C. Martin, Bruce A. Bunnell, Steven Elliott, Van T. Hoang, Margarite D. Matossian, Lyndsay V. Rhodes, Douglas B. Chrisey and Theresa B. Phamduy. Their work appears in journals such as PLoS ONE, Cancer Research, Journal of Investigative Dermatology, Molecular Cancer Research and Breast Cancer Research and Treatment.
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.