Marie Will
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
Papers in
-
- Trace Elements in Health 5
-
- Melanoma and MAPK Pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- J. K. Chesters (6 shared papers)Sarat Chandarlapaty (5 shared papers)José Baselga (3 shared papers)Weiyi Toy (2 shared papers)David Chen (1 shared paper)Clifford A. Hudis (1 shared paper)Michael F. Berger (1 shared paper)Zhiqiang Li (1 shared paper)
- Journals
- British Journal Of Nutrition (5 papers)Cancer Discovery (1 paper)Nature reviews. Cancer (1 paper)Nature Genetics (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Marie Will
13 papers receiving 1.4k citations
Marie Will's Hit Papers
Peers
Comparison fields: 5 of 88
- Cancer Research 448
- Oncology 554
- Pulmonary and Respiratory Medicine 467
- Genetics 364
- Molecular Biology 710
Countries citing papers authored by Marie Will
This map shows the geographic impact of Marie Will'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 Marie Will with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Will more than expected).
Fields of papers citing papers by Marie Will
This network shows the impact of papers produced by Marie Will. 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 Marie Will. The network helps show where Marie Will may publish in the future.
Co-authors
The 25 scholars most cited alongside Marie Will, 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 | ESR1 ligand-binding domain mutations in hormone-resistant breast cancer Hit paper breakdown → | 2013 | 855 |
| 2 | 2014 | 172 | |
| 3 | 2014 | 158 | |
| 4 | Therapeutic resistance to anti-oestrogen therapy in breast cancer Hit paper breakdown → | 2023 | 84 |
| 5 | 1973 | 80 | |
| 6 | 1981 | 58 | |
| 7 | 1978 | 22 | |
| 8 | 1981 | 20 | |
| 9 | 1978 | 5 | |
| 10 | 1982 | 2 | |
| 11 | [Intra- and interstrain adoptions in the white rat. Effects on body weight and on brain weight]. | 1974 | 1 |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 |
About Marie Will
Marie Will is a scholar working on Nutrition and Dietetics, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Surgery, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Trace Elements in Health (5 papers), Melanoma and MAPK Pathways (2 papers), Advanced Breast Cancer Therapies (2 papers), Estrogen and related hormone effects (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Plant Micronutrient Interactions and Effects (2 papers), Animal Nutrition and Physiology (1 paper) and Abdominal Trauma and Injuries (1 paper). The work is most often cited by research in Cancer Research (448 citations), Oncology (554 citations), Pulmonary and Respiratory Medicine (467 citations), Genetics (364 citations) and Molecular Biology (710 citations). Marie Will has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include J. K. Chesters, Sarat Chandarlapaty, José Baselga, Weiyi Toy, David Chen, Clifford A. Hudis, Michael F. Berger, Zhiqiang Li, Tari A. King and Helen Won. Their work appears in journals such as British Journal Of Nutrition, Cancer Discovery, Nature reviews. Cancer, Nature Genetics and Journal of Clinical Oncology.
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.