Marie Prewett

3.7k total citations · 2 hit papers
34 papers, 2.9k citations indexed

About

Marie Prewett is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Marie Prewett has authored 34 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 17 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Marie Prewett's work include Monoclonal and Polyclonal Antibodies Research (13 papers), HER2/EGFR in Cancer Research (11 papers) and Cancer Treatment and Pharmacology (8 papers). Marie Prewett is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), HER2/EGFR in Cancer Research (11 papers) and Cancer Treatment and Pharmacology (8 papers). Marie Prewett collaborates with scholars based in United States, France and Japan. Marie Prewett's co-authors include Neil I. Goldstein, Patricia Rockwell, John Mendelsohn, Andrea T. Hooper, Daniel J. Hicklin, Harlan W. Waksal, Rajiv Bassi, Peter Böhlen, Lee M. Ellis and Yiwen Li and has published in prestigious journals such as Journal of Biological Chemistry, Cancer and Cancer Research.

In The Last Decade

Marie Prewett

33 papers receiving 2.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Biological efficacy of a chimeric antibody to the epidermal growth factor receptor in a human tumor xenograft model.

1995 657 citations Marie Prewett et al. PubMed profile →
Antivascular endothelial growth factor receptor (fetal liver kinase 1) monoclonal antibody inhibits tumor angiogenesis and growth of several mouse and human tumors.

1999 557 citations Marie Prewett, Yiwen Li et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marie Prewett United States	18	1.7k	1.4k	816	661	509	34	2.9k
Vincenzo Damiano Italy	26	1.9k 1.1×	1.4k 1.0×	1.2k 1.4×	336 0.5×	459 0.9×	62	3.2k
Cammie Rinehart United States	15	1.7k 1.0×	1.7k 1.2×	567 0.7×	719 1.1×	327 0.6×	19	2.8k
Kenneth K. Iwata United States	27	1.8k 1.1×	1.9k 1.4×	976 1.2×	188 0.3×	520 1.0×	50	3.4k
Toru Mukohara Japan	28	2.3k 1.4×	1.7k 1.2×	1.7k 2.0×	448 0.7×	577 1.1×	128	4.1k
Shyhmin Huang United States	23	1.5k 0.9×	1.1k 0.7×	1.0k 1.2×	380 0.6×	291 0.6×	39	2.4k
Gilbert Spizzo Austria	29	1.7k 1.0×	2.1k 1.5×	488 0.6×	351 0.5×	723 1.4×	70	3.8k
John Sarantopoulos United States	28	1.3k 0.8×	1.6k 1.1×	528 0.6×	188 0.3×	382 0.8×	143	3.2k
Helmout Modjtahedi United Kingdom	30	1.4k 0.9×	1.1k 0.7×	548 0.7×	544 0.8×	333 0.7×	81	2.5k
Ralf Brandt United States	18	2.5k 1.5×	1.9k 1.3×	1.1k 1.3×	632 1.0×	381 0.7×	27	4.0k
Rachel Tsan United States	23	1.3k 0.8×	1.3k 0.9×	663 0.8×	184 0.3×	514 1.0×	29	2.5k

Countries citing papers authored by Marie Prewett

Since Specialization

Citations

This map shows the geographic impact of Marie Prewett'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 Prewett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Prewett more than expected).

Fields of papers citing papers by Marie Prewett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie Prewett. 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 Prewett. The network helps show where Marie Prewett may publish in the future.

Co-authorship network of co-authors of Marie Prewett

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Prewett. A scholar is included among the top collaborators of Marie Prewett 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 Marie Prewett. Marie Prewett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Forest, Amélie, Dale L. Ludwig, Ying Wang, et al.. (2015). Intrinsic Resistance to Cixutumumab Is Conferred by Distinct Isoforms of the Insulin Receptor. Molecular Cancer Research. 13(12). 1615–1626. 27 indexed citations

Brennan, Laura, Marie Prewett, Inga Duignan, et al.. (2014). A human monoclonal antibody targeting the stem cell factor receptor (c-Kit) blocks tumor cell signaling and inhibits tumor growth. Cancer Biology & Therapy. 15(9). 1208–1218. 11 indexed citations

Prewett, Marie, Rajiv Bassi, Keren Paz, et al.. (2011). Estimating preclinical efficacy targets utilizing cetuximab efficacy in KRAS mutant and wild-type colorectal cancer models.. PubMed. 31(6). 2149–60. 2 indexed citations

Surguladze, David, Mary Jane Plym, Marie Prewett, et al.. (2010). 231 Efficacy of VEGFR2 targeted mAb therapy in preclinical cancer models resistant to antiangiogenic therapy. European Journal of Cancer Supplements. 8(7). 75–75. 1 indexed citations

Prewett, Marie, Rajiv Bassi, Hagop Youssoufian, Eric K. Rowinsky, & James R. Tonra. (2009). Abstract #2774: The fully human EGFR antibody IMC-11F8 significantly increases the antitumor effects of cisplatin+gemcitabine in human non-small cell lung cancer models. Cancer Research. 69. 2774–2774. 3 indexed citations

Surguladze, David, Philipp Steiner, Marie Prewett, & James R. Tonra. (2009). Methods for Evaluating Effects of an Irinotecan + 5-Fluorouracil/Leucovorin (IFL) Regimen in an Orthotopic Metastatic Colorectal Cancer Model Utilizing In Vivo Bioluminescence Imaging. Methods in molecular biology. 602. 235–252. 6 indexed citations

Tonra, James R., Marie Prewett, Erik Corcoran, Daniel J. Hicklin, & Zhenping Zhu. (2008). In Vivo Method for Establishing Synergy Between Antibodies to Epidermal Growth Factor Receptor and Vascular Endothelial Growth Factor Receptor-2. Methods in molecular biology. 525. 545–557. 1 indexed citations

Prewett, Marie, et al.. (2007). IMC-A12 enhances the efficacy of cetuximab + gemcitabine therapy in human pancreatic carcinoma xenografts.. Cancer Research. 67. 652–652. 3 indexed citations

Prewett, Marie, Dhanvanthri S. Deevi, Rajiv Bassi, et al.. (2007). Tumors Established with Cell Lines Selected for Oxaliplatin Resistance Respond to Oxaliplatin if Combined with Cetuximab. Clinical Cancer Research. 13(24). 7432–7440. 43 indexed citations

10.

Shen, Juqun, Haifan Zhang, James R. Tonra, et al.. (2007). An antibody directed against PDGF receptor β enhances the antitumor and the anti-angiogenic activities of an anti-VEGF receptor 2 antibody. Biochemical and Biophysical Research Communications. 357(4). 1142–1147. 32 indexed citations

11.

Rabenau, Karen E., Dan Lu, Paul Balderes, et al.. (2006). Therapeutic Implications of a Human Neutralizing Antibody to the Macrophage-Stimulating Protein Receptor Tyrosine Kinase (RON), a c-MET Family Member. Cancer Research. 66(18). 9162–9170. 105 indexed citations

12.

Lu, Dan, Haifan Zhang, Henry Koo, et al.. (2005). A Fully Human Recombinant IgG-like Bispecific Antibody to Both the Epidermal Growth Factor Receptor and the Insulin-like Growth Factor Receptor for Enhanced Antitumor Activity. Journal of Biological Chemistry. 280(20). 19665–19672. 146 indexed citations

13.

Prewett, Marie, James R. Tonra, Rajiv Bassi, et al.. (2004). Antitumor activity of a novel, human anti-epidermal growth factor receptor (EGFR) monoclonal antibody (IMC-11F8) in human tumor xenograft models. Cancer Research. 64. 1235–1235. 13 indexed citations

14.

Overholser, Jay, Marie Prewett, Andrea T. Hooper, Harlan W. Waksal, & Daniel J. Hicklin. (2000). Epidermal growth factor receptor blockade by antibody IMC‐C225 inhibits growth of a human pancreatic carcinoma xenograft in nude mice. Cancer. 89(1). 74–82. 8 indexed citations

15.

Overholser, Jay, Marie Prewett, Andrea T. Hooper, Harlan W. Waksal, & Daniel J. Hicklin. (2000). Epidermal growth factor receptor blockade by antibody IMC-C225 inhibits growth of a human pancreatic carcinoma xenograft in nude mice. Cancer. 89(1). 74–82. 139 indexed citations

16.

Prewett, Marie, Micol S. Rothman, Harlan W. Waksal, et al.. (1998). Mouse-human chimeric anti-epidermal growth factor receptor antibody C225 inhibits the growth of human renal cell carcinoma xenografts in nude mice.. PubMed. 4(12). 2957–66. 113 indexed citations

17.

Maruyama, Haruhiko, Weiping Li, Jan Žaloudík, et al.. (1996). Monoclonal anti-idiotypic antibody functionally mimics the human gastrointestinal carcinoma epitope GA733. International Journal of Cancer. 65(4). 547–553. 16 indexed citations

18.

Hoxie, James A., et al.. (1994). Polyclonal Antiidiotypic Antibodies Mimicking gp120 of HIV-1. Viral Immunology. 7(2). 61–69. 1 indexed citations

19.

González‐Scarano, Francisco, Shaohong Liang, James A. Hoxie, et al.. (1993). Monoclonal anti-idiotypic antibodies that mimic the epitope on gp120 defined by anti-HIV-1 monoclonal antibody 0.5β. AIDS. 7(12). 1553–1559. 3 indexed citations

20.

Liang, Shaohong, P. Rieber, Marie Prewett, et al.. (1991). Anti-idiotypic Antibodies Against Anti-CD4 Antibodies MT151 and OKT4A. Viral Immunology. 4(2). 83–90.

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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