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
Papers in
-
- Cancer, Hypoxia, and Metabolism 7
- Cancer, Lipids, and Metabolism 7
- Oncology 16
- Cancer Cells and Metastasis 10
- Pancreatic and Hepatic Oncology Research 4
- Co-authors
- Gabriela Kalna (7 shared papers)Liang Zheng (3 shared papers)Eyal Gottlieb (3 shared papers)Elaine D. MacKenzie (3 shared papers)Christian Frezza (3 shared papers)Colin Nixon (8 shared papers)Eytan Ruppin (2 shared papers)Livnat Jerby (2 shared papers)
- Journals
- Nature Communications (6 papers)Cancer Research (5 papers)Oncogene (4 papers)Nature (3 papers)Cancer Discovery (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Ann Hedley
51 papers receiving 3.7k citations
Ann Hedley's Hit Papers
Peers
Comparison fields: 5 of 127
- Cancer Research 930
- Oncology 811
- Molecular Biology 2.0k
- Aging 43
- Immunology 434
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 423 | |
| 2 | 2019 | 339 | |
| 3 | 2015 | 236 | |
| 4 | 2018 | 210 | |
| 5 | 2017 | 206 | |
| 6 | 2021 | 205 | |
| 7 | 2021 | 170 | |
| 8 | CXCR2 inhibition enables NASH-HCC immunotherapy Hit paper breakdown → | 2022 | 160 |
| 9 | 2018 | 133 | |
| 10 | 2020 | 127 | |
| 11 | 2004 | 123 | |
| 12 | 2022 | 122 | |
| 13 | 2016 | 100 | |
| 14 | 2013 | 92 | |
| 15 | 2018 | 90 | |
| 16 | 2018 | 75 | |
| 17 | 2015 | 74 | |
| 18 | 2019 | 73 | |
| 19 | 2020 | 72 | |
| 20 | 2008 | 62 |
About Ann Hedley
Ann Hedley is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 51 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (10 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer, Lipids, and Metabolism (7 papers), Prostate Cancer Treatment and Research (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Cancer Research and Treatments (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cancer Research (930 citations), Oncology (811 citations), Molecular Biology (2.0k citations), Aging (43 citations) and Immunology (434 citations). Ann Hedley has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gabriela Kalna, Liang Zheng, Eyal Gottlieb, Elaine D. MacKenzie, Christian Frezza, Colin Nixon, Eytan Ruppin, Livnat Jerby, James D. Wasmuth and Mark Blaxter. Their work appears in journals such as Nature Communications, Cancer Research, Oncogene, Nature and Cancer Discovery.
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.