George Vande Woude

3.5k total citations · 2 hit papers
30 papers, 2.7k citations indexed

About

George Vande Woude is a scholar working on Molecular Biology, Hepatology and Oncology. According to data from OpenAlex, George Vande Woude has authored 30 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Hepatology and 7 papers in Oncology. Recurrent topics in George Vande Woude's work include Liver physiology and pathology (12 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). George Vande Woude is often cited by papers focused on Liver physiology and pathology (12 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Protein Kinase Regulation and GTPase Signaling (4 papers). George Vande Woude collaborates with scholars based in United States, United Kingdom and China. George Vande Woude's co-authors include Ermanno Gherardi, Carmen Birchmeier, Walter Birchmeier, George Khoury, Barbara Levinson, Peter Gruß, Beatrice S. Knudsen, Michael Dean, P. O’Connell and Mark Hoff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

George Vande Woude

30 papers receiving 2.6k citations

Hit Papers

Targeting MET in cancer: ra... 1985 2026 1998 2012 2012 1985 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Vande Woude United States 17 1.5k 865 705 556 322 30 2.7k
Dieter Zopf Germany 25 1.6k 1.0× 464 0.5× 1.1k 1.5× 601 1.1× 376 1.2× 42 3.1k
I Taylor United States 19 1.6k 1.0× 845 1.0× 553 0.8× 335 0.6× 449 1.4× 40 2.9k
Pier Paolo Scaglioni United States 32 2.9k 1.9× 847 1.0× 1.1k 1.5× 345 0.6× 127 0.4× 61 4.5k
Scott A. Boerner United States 23 1.2k 0.8× 278 0.3× 852 1.2× 337 0.6× 195 0.6× 40 2.2k
Birgit Luber Germany 29 1.4k 0.9× 196 0.2× 1.3k 1.8× 557 1.0× 234 0.7× 58 2.9k
Satoshi Nishizuka Japan 39 3.1k 2.0× 355 0.4× 991 1.4× 760 1.4× 759 2.4× 129 4.8k
Maurizio Fanciulli Italy 32 2.8k 1.9× 242 0.3× 1.1k 1.6× 221 0.4× 164 0.5× 115 4.0k
Richard Sesboüé France 27 1.0k 0.7× 144 0.2× 1.2k 1.7× 806 1.4× 457 1.4× 91 2.7k
Alessandro Porrello United States 23 1.1k 0.7× 219 0.3× 411 0.6× 293 0.5× 89 0.3× 40 1.9k
Ana Rovira Spain 37 2.0k 1.3× 161 0.2× 1.9k 2.7× 767 1.4× 336 1.0× 133 4.3k

Countries citing papers authored by George Vande Woude

Since Specialization
Citations

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

Fields of papers citing papers by George Vande Woude

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George Vande Woude. 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 George Vande Woude. The network helps show where George Vande Woude may publish in the future.

Co-authorship network of co-authors of George Vande Woude

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

All Works

20 of 20 papers shown
1.
Pal, Kuntal, Abhishek Bandyopadhyay, X. Edward Zhou, et al.. (2017). Structural Basis of TPR-Mediated Oligomerization and Activation of Oncogenic Fusion Kinases. Structure. 25(6). 867–877.e3. 18 indexed citations
2.
Dykes, Samantha S., Chong Gao, Rebecca L. Bigelow, et al.. (2016). Zinc finger E‐box binding homeobox‐1 (Zeb1) drives anterograde lysosome trafficking and tumor cell invasion via upregulation of Na+/H+ Exchanger‐1 (NHE1). Molecular Carcinogenesis. 56(2). 722–734. 19 indexed citations
3.
Gherardi, Ermanno, Walter Birchmeier, Carmen Birchmeier, & George Vande Woude. (2012). Targeting MET in cancer: rationale and progress. Nature reviews. Cancer. 12(2). 89–103. 1135 indexed citations breakdown →
4.
Kentsis, Alex, Casie Reed, Kim L. Rice, et al.. (2012). Autocrine activation of the MET receptor tyrosine kinase in acute myeloid leukemia. Nature Medicine. 18(7). 1118–1122. 140 indexed citations
5.
Gherardi, Ermanno, Walter Birchmeier, Carmen Birchmeier, & George Vande Woude. (2012). Erratum: Targeting MET in cancer: rationale and progress. Nature reviews. Cancer. 12(9). 637–637. 7 indexed citations
7.
Tolbert, William D., et al.. (2010). Structural basis for agonism and antagonism of hepatocyte growth factor. Proceedings of the National Academy of Sciences. 107(30). 13264–13269. 66 indexed citations
8.
Zhang, Yuwen, Yanli Su, Sharianne G. Louie, et al.. (2008). Combination efficacy with MetMAb and erlotinib in a NSCLC tumor model highlight therapeutic opportunities for c-Met inhibitors in combination with EGFR inhibitors. Cancer Research. 68. 1336–1336. 9 indexed citations
9.
Knudsen, Beatrice S. & George Vande Woude. (2008). Showering c-MET-dependent cancers with drugs. Current Opinion in Genetics & Development. 18(1). 87–96. 113 indexed citations
10.
Tolbert, William D., Chong Gao, Qian Xie, et al.. (2007). A mechanistic basis for converting a receptor tyrosine kinase agonist to an antagonist. Proceedings of the National Academy of Sciences. 104(37). 14592–14597. 44 indexed citations
11.
Ren, Yi, Brian Cao, Simon Law, et al.. (2005). Hepatocyte Growth Factor Promotes Cancer Cell Migration and Angiogenic Factors Expression: A Prognostic Marker of Human Esophageal Squamous Cell Carcinomas. Clinical Cancer Research. 11(17). 6190–6197. 127 indexed citations
12.
Shen, Yuehai, et al.. (2005). Geldanamycin derivative inhibition of HGF/SF-mediated Met tyrosine kinase receptor-dependent urokinase-plasminogen activation. Bioorganic & Medicinal Chemistry. 13(16). 4960–4971. 17 indexed citations
13.
Fan, Jianqing, Paul Tam, George Vande Woude, & Yi Ren. (2004). Normalization and analysis of cDNA microarrays using within-array replications applied to neuroblastoma cell response to a cytokine. Proceedings of the National Academy of Sciences. 101(5). 1135–1140. 66 indexed citations
14.
Hammond, Dean E., et al.. (2003). Endosomal Dynamics of Met Determine Signaling Output. Molecular Biology of the Cell. 14(4). 1346–1354. 94 indexed citations
15.
Frankel, Arthur E., et al.. (2002). Anthrax Fusion Protein Therapy of Cancer. Current Protein and Peptide Science. 3(4). 399–407. 17 indexed citations
16.
Hay, Rick V., Brian Cao, Ilan Tsarfaty, et al.. (2002). Grappling with metastatic risk: Bringing molecular imaging of Met expression toward clinical use. Journal of Cellular Biochemistry. 87(S39). 184–193. 4 indexed citations
17.
Smith, J. Joshua, Erica N Evans, Monica S. Murakami, et al.. (2000). Wee1-Regulated Apoptosis Mediated by the Crk Adaptor Protein in Xenopus Egg Extracts. The Journal of Cell Biology. 151(7). 1391–1400. 25 indexed citations
18.
Rulong, Shen, Renping Zhou, Ilan Tsarfaty, et al.. (1995). Immunogold labeling of oncogenic and tumor related proteins. Microscopy Research and Technique. 31(2). 159–173. 3 indexed citations
19.
Zhou, Renping, et al.. (1992). pp39 mos Is Associated with p34 cdc2 Kinase in c- mos xe -Transformed NIH 3T3 Cells. Molecular and Cellular Biology. 12(8). 3583–3589. 17 indexed citations
20.
Tainsky, Michael A., Fay L. Shamanski, Donald G. Blair, & George Vande Woude. (1987). Human Recipient Cell for Oncogene Transfection Studies. Molecular and Cellular Biology. 7(3). 1280–1284. 4 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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