Margaret Willard

2.0k total citations · 1 hit paper
12 papers, 1.7k citations indexed

About

Margaret Willard is a scholar working on Molecular Biology, Cancer Research and Ecology. According to data from OpenAlex, Margaret Willard has authored 12 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Ecology. Recurrent topics in Margaret Willard's work include Cancer, Hypoxia, and Metabolism (6 papers), Glycosylation and Glycoproteins Research (2 papers) and Parasite Biology and Host Interactions (2 papers). Margaret Willard is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Glycosylation and Glycoproteins Research (2 papers) and Parasite Biology and Host Interactions (2 papers). Margaret Willard collaborates with scholars based in United States, China and France. Margaret Willard's 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 and has published in prestigious journals such as The Journal of Experimental Medicine, Cancer Cell and Cancer Research.

In The Last Decade

Margaret Willard

12 papers receiving 1.6k citations

Hit Papers

2ME2 inhibits tumor growth and angiogenesis by disrupting... 2003 2026 2010 2018 2003 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. 2ME2 inhibits tumor growth and angiogenesis by disrupting microtubules and dysregulating HIF
    2003 610 citations Nicola J. Mabjeesh, Daniel Escuín et al. Cancer Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Margaret Willard United States 10 1.0k 719 438 327 190 12 1.7k
Usha N. Kasid United States 29 1.6k 1.6× 479 0.7× 643 1.5× 374 1.1× 162 0.9× 63 2.3k
Ricardo Sánchez‐Prieto Spain 26 1.3k 1.3× 374 0.5× 696 1.6× 153 0.5× 252 1.3× 74 2.1k
Sébastien Jeay Switzerland 24 1.1k 1.1× 320 0.4× 631 1.4× 166 0.5× 151 0.8× 46 1.8k
Daniela Califano Italy 29 1.6k 1.5× 577 0.8× 964 2.2× 244 0.7× 137 0.7× 62 2.6k
I. K. Bukholm Norway 19 1.1k 1.1× 462 0.6× 745 1.7× 204 0.6× 163 0.9× 22 1.7k
Valeria Masciullo Italy 25 1.5k 1.5× 361 0.5× 722 1.6× 214 0.7× 184 1.0× 53 2.5k
Esther Bridges United Kingdom 21 1.1k 1.1× 744 1.0× 430 1.0× 190 0.6× 84 0.4× 38 1.7k
Douglas R. Hurst United States 25 1.8k 1.8× 1.0k 1.4× 819 1.9× 187 0.6× 119 0.6× 63 2.7k
Jeremy P. Blaydes United Kingdom 32 1.6k 1.5× 342 0.5× 987 2.3× 196 0.6× 172 0.9× 54 2.2k
Anna L. Stratford Canada 24 1.2k 1.2× 445 0.6× 567 1.3× 106 0.3× 122 0.6× 27 1.9k

Countries citing papers authored by Margaret Willard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

12 of 12 papers shown
1.
Corso, Cláudia Rita, Jean Ginsburg, Jing Wen, Margaret Willard, & Roberto Efraín Díaz. (2012). Evaluating the HSP90 Inhibitor Ganetespib as a Radiosensitizing Agent in Breast Cancer Models In Vitro. International Journal of Radiation Oncology*Biology*Physics. 84(3). S699–S700. 2 indexed citations
2.
Song, Xuezheng, Yi Lasanajak, Carlos A. Rivera-Marrero, et al.. (2009). Generation of a natural glycan microarray using 9-fluorenylmethyl chloroformate (FmocCl) as a cleavable fluorescent tag. Analytical Biochemistry. 395(2). 151–160. 37 indexed citations
3.
Ju, Tongzhong, Grainger S. Lanneau, Tripti Gautam, et al.. (2008). Human Tumor Antigens Tn and Sialyl Tn Arise from Mutations in Cosmc. Cancer Research. 68(6). 1636–1646. 232 indexed citations
4.
Liang, Zhongxing, Margaret Willard, Ke Liang, et al.. (2007). CXCR4/CXCL12 axis promotes VEGF-mediated tumor angiogenesis through Akt signaling pathway. Biochemical and Biophysical Research Communications. 359(3). 716–722. 258 indexed citations
5.
Cêtre-Sossah, Catherine, M. Angela Montesano, George L. Freeman, et al.. (2007). Early responses associated with chronic pathology in murine schistosomiasis. Parasite Immunology. 29(5). 241–249. 5 indexed citations
6.
Willard, Margaret, et al.. (2004). NS398 reduces hypoxia‐inducible factor (HIF)‐1α and HIF‐1 activity: Multiple‐level effects involving cyclooxygenase‐2 dependent and independent mechanisms. International Journal of Cancer. 112(4). 585–595. 44 indexed citations
7.
Mabjeesh, Nicola J., Daniel Escuín, Theresa LaVallee, et al.. (2003). 2ME2 inhibits tumor growth and angiogenesis by disrupting microtubules and dysregulating HIF. Cancer Cell. 3(4). 363–375. 610 indexed citations breakdown →
8.
Mabjeesh, Nicola J., Margaret Willard, Wayne Harris, et al.. (2003). Dibenzoylmethane, a natural dietary compound, induces HIF-1α and increases expression of VEGF. Biochemical and Biophysical Research Communications. 303(1). 279–286. 32 indexed citations
9.
Mabjeesh, Nicola J., et al.. (2003). Androgens stimulate hypoxia-inducible factor 1 activation via autocrine loop of tyrosine kinase receptor/phosphatidylinositol 3'-kinase/protein kinase B in prostate cancer cells.. PubMed. 9(7). 2416–25. 151 indexed citations
10.
Montesano, M. Angela, Daniel G. Colley, Margaret Willard, George L. Freeman, & W. Evan Secor. (2002). Idiotypes Expressed Early in Experimental Schistosoma mansoni Infections Predict Clinical Outcomes of Chronic Disease. The Journal of Experimental Medicine. 195(9). 1223–1228. 18 indexed citations
11.
Zhong, Hua, Nicola J. Mabjeesh, Margaret Willard, & Jonathan W. Simons. (2002). Nuclear expression of hypoxia-inducible factor 1α protein is heterogeneous in human malignant cells under normoxic conditions. Cancer Letters. 181(2). 233–238. 35 indexed citations
12.
Mabjeesh, Nicola J., Dawn E. Post, Margaret Willard, et al.. (2002). Geldanamycin induces degradation of hypoxia-inducible factor 1alpha protein via the proteosome pathway in prostate cancer cells.. PubMed. 62(9). 2478–82. 253 indexed citations

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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