Margaret Willard
- Molecular Biology top 10%
- Cancer Research top 2%
- Oncology top 10%
- Immunology top 10%
- Genetics top 10%
- Co-authors
- Jonathan W. SimonsNicola J. MabjeeshHua ZhongDaniel EscuínGlenn M. SwartzTheresa LaValleeVictor S. PribludaMichelle S. Johnson
- Topics
- Cancer, Hypoxia, and Metabolism (6 papers)Glycosylation and Glycoproteins Research (2 papers)Parasite Biology and Host Interactions (2 papers)
- Cited by
- Cancer ResearchOncologyImmunology
- Partner nations
- United StatesChinaFrance
In The Last Decade
Margaret Willard
12 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.0k
- Cancer Research 719
- Oncology 438
- Immunology 327
- Genetics 190
Countries citing papers authored by Margaret Willard
This map shows the geographic impact of Margaret Willard'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 Margaret Willard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margaret Willard more than expected).
Fields of papers citing papers by Margaret Willard
This network shows the impact of papers produced by Margaret Willard. 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 Margaret Willard. The network helps show where Margaret Willard may publish in the future.
Co-authorship network of co-authors of Margaret Willard
This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Willard. A scholar is included among the top collaborators of Margaret Willard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margaret Willard. Margaret Willard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 37 | |
| 3 | 232 | |
| 4 | 258 | |
| 5 | 5 | |
| 6 | 44 | |
| 7 | 2ME2 inhibits tumor growth and angiogenesis by disrupting microtubules and dysregulating HIFbreakdown → | 610 |
| 8 | 32 | |
| 9 | Androgens stimulate hypoxia-inducible factor 1 activation via autocrine loop of tyrosine kinase receptor/phosphatidylinositol 3'-kinase/protein kinase B in prostate cancer cells. | 151 |
| 10 | 18 | |
| 11 | 35 | |
| 12 | Geldanamycin induces degradation of hypoxia-inducible factor 1alpha protein via the proteosome pathway in prostate cancer cells. | 253 |
About Margaret Willard
Margaret Willard is a scholar working on Cancer Research, Parasitology and Biochemistry, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Glycosylation and Glycoproteins Research (2 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Cancer Research (719 citations), Oncology (438 citations) and Immunology (327 citations). Margaret Willard has collaborated with scholars based in United States, China and France. Frequent co-authors include Jonathan W. Simons, Nicola J. Mabjeesh, Hua Zhong, Daniel Escuín, Glenn M. Swartz, Theresa LaVallee, Victor S. Pribluda, Michelle S. Johnson, Paraskevi Giannakakou and Hua Zhong. Their work appears in journals such as The Journal of Experimental Medicine, Cancer Cell and Cancer Research.
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.