Ann Hedley
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Oncology top 5%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
Papers in
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- Cancer, Hypoxia, and Metabolism 5
- Cancer, Lipids, and Metabolism 5
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- Prostate Cancer Treatment and Research 6
- Co-authors
- Gabriela Kalna (7 shared papers)Liang Zheng (3 shared papers)Christian Frezza (3 shared papers)Elaine D. MacKenzie (3 shared papers)Eyal Gottlieb (3 shared papers)Colin Nixon (8 shared papers)Livnat Jerby‐Arnon (2 shared papers)Eytan Ruppin (2 shared papers)
- Journals
- Nature Communications (6 papers)Cancer Research (5 papers)Oncogene (4 papers)Nature (3 papers)Science Translational Medicine (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ann Hedley
50 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 749
- Oncology 716
- Hepatology 196
- Molecular Biology 1.4k
- Biochemistry 107
Countries citing papers authored by Ann Hedley
This map shows the geographic impact of Ann Hedley'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 Ann Hedley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Hedley more than expected).
Fields of papers citing papers by Ann Hedley
This network shows the impact of papers produced by Ann Hedley. 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 Ann Hedley. The network helps show where Ann Hedley may publish in the future.
Co-authors
The 25 scholars most cited alongside Ann Hedley, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 424 | |
| 2 | 2019 | 346 | |
| 3 | 2015 | 241 | |
| 4 | 2017 | 212 | |
| 5 | 2018 | 210 | |
| 6 | 2021 | 209 | |
| 7 | 2021 | 178 | |
| 8 | 2022 | 163 | |
| 9 | 2018 | 134 | |
| 10 | 2020 | 132 | |
| 11 | 2022 | 125 | |
| 12 | 2004 | 121 | |
| 13 | 2016 | 102 | |
| 14 | 2013 | 93 | |
| 15 | 2018 | 90 | |
| 16 | 2018 | 77 | |
| 17 | 2015 | 75 | |
| 18 | 2019 | 74 | |
| 19 | 2020 | 73 | |
| 20 | 2008 | 62 |
About Ann Hedley
Ann Hedley is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Hepatology, having authored 50 papers that have together received 3.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cancer, Lipids, and Metabolism (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cellular Mechanics and Interactions (3 papers) and Liver physiology and pathology (3 papers). The work is most often cited by research in Cancer Research (749 citations), Oncology (716 citations), Hepatology (196 citations), Molecular Biology (1.4k citations) and Biochemistry (107 citations). Ann Hedley has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gabriela Kalna, Liang Zheng, Christian Frezza, Elaine D. MacKenzie, Eyal Gottlieb, Colin Nixon, Livnat Jerby‐Arnon, Eytan Ruppin, James D. Wasmuth and Mark Blaxter. Their work appears in journals such as Nature Communications, Cancer Research, Oncogene, Nature and Science Translational Medicine.
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.