Marie Will

2.3k citations
15 papers · 1.6k · 2 hit papers · h-index 9

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

Marie Will

13 papers receiving 1.5k citations

Marie Will's Hit Papers

Therapeutic resistance to anti-oestrogen therapy in breast cancer 2023 · 100 citations
1000+4+8Years since publication250500750

Peers

Marie Will
Comparison fields: 5 of 87
  • Cancer Research 386
  • Oncology 477
  • Pulmonary and Respiratory Medicine 409
  • Genetics 361
  • Nutrition and Dietetics 178
Replace Elzbieta Kawinski with:
Elzbieta Kawinski United States
C. K. W. Watts Australia
Debra A. Tonetti United States
Rosina Hill United States
Miriam Falzon United States
Dakai Xiao China
Chun Deng China
Naoise C. Synnott Ireland
Shu Okamura Japan
Chan H. Park United States
Marie Will relative to Elzbieta Kawinski United States Elzbieta Kawinski's profile →
Citations per field
00.5×10×15×19×
Elzbieta Kawinski · 1×
Citations per year

Countries citing papers authored by Marie Will

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marie Will Line = papers co-authored together Marie Will links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
ESR1 ligand-binding domain mutations in hormone-resistant breast cancer
Hit paper breakdown →
2013901
2 2014179
3 2014161
4
Therapeutic resistance to anti-oestrogen therapy in breast cancer
Hit paper breakdown →
2023100
5 197393
6 198166
7 197823
8 198123
9 19788
10 19822
11 20241
12 20231
13
[Intra- and interstrain adoptions in the white rat. Effects on body weight and on brain weight].
19741
14 20240
15 20230

About Marie Will

Marie Will is a scholar working on Nutrition and Dietetics, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Cancer Research, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Trace Elements in Health (5 papers), Estrogen and related hormone effects (2 papers), Plant Micronutrient Interactions and Effects (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer Genomics and Diagnostics (2 papers), Advanced Breast Cancer Therapies (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Cancer Research (386 citations), Oncology (477 citations), Pulmonary and Respiratory Medicine (409 citations), Genetics (361 citations) and Nutrition and Dietetics (178 citations). Marie Will has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include J. K. Chesters, Sarat Chandarlapaty, José Baselga, Weiyi Toy, Gabriel N. Hortobágyi, Michael F. Berger, Rita A. Sakr, Helen Won, Tari A. King and Tetiana Taran. Their work appears in journals such as British Journal Of Nutrition, Journal of Clinical Oncology, European Journal of Human Genetics, Nature reviews. Cancer and Nature Genetics.

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.

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