L Webster
Impact in
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- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
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- Breast Cancer Treatment Studies
Papers in
- Oncology 3
- HER2/EGFR in Cancer Research 1
- Cancer Cells and Metastasis 1
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- Gene expression and cancer classification 1
- PI3K/AKT/mTOR signaling in cancer 1
- Molecular Biology Techniques and Applications 1
- Co-authors
- Deborah A. Zajchowski (2 shared papers)Ruth Sager (1 shared paper)Marty F. Bartholdi (1 shared paper)Stephen P. Ethier (1 shared paper)Yun Gong (1 shared paper)Alexander Munishkin (1 shared paper)Simon C. Harvey (1 shared paper)Paul H. Johnson (1 shared paper)
- Journals
- British Journal of Cancer (1 paper)AJP Advances in Physiology Education (1 paper)PubMed (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
L Webster
4 papers receiving 377 citations
Peers
Comparison fields: 5 of 56
- Oncology 140
- Cancer Research 71
- Immunology and Allergy 28
- Genetics 102
- Molecular Biology 198
Countries citing papers authored by L Webster
This map shows the geographic impact of L Webster'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 L Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L Webster more than expected).
Fields of papers citing papers by L Webster
This network shows the impact of papers produced by L Webster. 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 L Webster. The network helps show where L Webster may publish in the future.
Co-authors
The 15 scholars most cited alongside L Webster, 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 | Identification of gene expression profiles that predict the aggressive behavior of breast cancer cells. | 2001 | 250 |
| 2 | Estrogen inhibits the growth of estrogen receptor-negative, but not estrogen receptor-positive, human mammary epithelial cells expressing a recombinant estrogen receptor. | 1993 | 104 |
| 3 | 2013 | 20 | |
| 4 | 2005 | 13 |
About L Webster
L Webster is a scholar working on Oncology, Molecular Biology, Sociology and Political Science, Information Systems and Artificial Intelligence, having authored 4 papers that have together received 387 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (1 paper), Estrogen and related hormone effects (1 paper), Breast Cancer Treatment Studies (1 paper), Gene expression and cancer classification (1 paper), Cancer Cells and Metastasis (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Mobile Learning in Education (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Oncology (140 citations), Cancer Research (71 citations), Immunology and Allergy (28 citations), Genetics (102 citations) and Molecular Biology (198 citations). L Webster has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Deborah A. Zajchowski, Ruth Sager, Marty F. Bartholdi, Stephen P. Ethier, Yun Gong, Alexander Munishkin, Simon C. Harvey, Paul H. Johnson, S. Burnet and Christine L. Clarke. Their work appears in journals such as British Journal of Cancer, AJP Advances in Physiology Education and PubMed.
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.