Dafna Kaufman

573 total citations
10 papers, 257 citations indexed

About

Dafna Kaufman is a scholar working on Hepatology, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Dafna Kaufman has authored 10 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hepatology, 5 papers in Molecular Biology and 2 papers in Sociology and Political Science. Recurrent topics in Dafna Kaufman's work include Liver physiology and pathology (6 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Cells and Metastasis (2 papers). Dafna Kaufman is often cited by papers focused on Liver physiology and pathology (6 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Cells and Metastasis (2 papers). Dafna Kaufman collaborates with scholars based in United States, Israel and Canada. Dafna Kaufman's co-authors include George F. Vande Woude, Curt J. Essenburg, Yanli Su, Liang Kang, Yuwen Zhang, Ben Staal, Qian Xie, Timothy J. O’Rourke, Bryn Eagleson and Richard West and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

In The Last Decade

Dafna Kaufman

9 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dafna Kaufman United States 8 130 124 89 59 39 10 257
Yorihide Okuda Japan 9 295 2.3× 80 0.6× 55 0.6× 30 0.5× 28 0.7× 16 391
Daniel Lu Canada 7 108 0.8× 50 0.4× 61 0.7× 101 1.7× 52 1.3× 11 218
Bastianina Canu Italy 10 136 1.0× 52 0.4× 197 2.2× 103 1.7× 26 0.7× 15 346
Hirokazu Uyama Japan 7 321 2.5× 71 0.6× 54 0.6× 32 0.5× 29 0.7× 13 394
Xuejing Aimee Wang United States 8 131 1.0× 116 0.9× 126 1.4× 161 2.7× 40 1.0× 15 294
Morana Vojnic United States 7 129 1.0× 41 0.3× 132 1.5× 165 2.8× 41 1.1× 24 276
Paola Francica Switzerland 10 158 1.2× 39 0.3× 124 1.4× 57 1.0× 21 0.5× 14 249
Liye Tao China 9 170 1.3× 93 0.8× 59 0.7× 55 0.9× 27 0.7× 26 353
Hajrah Khawaja United Kingdom 7 147 1.1× 73 0.6× 115 1.3× 57 1.0× 41 1.1× 8 272
Soheil Yala United States 4 171 1.3× 98 0.8× 119 1.3× 103 1.7× 34 0.9× 6 288

Countries citing papers authored by Dafna Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Dafna Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dafna Kaufman

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

All Works

10 of 10 papers shown
1.
Kaufman, Dafna. (2025). Everyone watches women's sports. Transformative Works and Cultures. 45. 1 indexed citations
2.
Kaufman, Dafna. (2025). The Women's Sports Revolution: Yesterday, Today, Tomorrow?. Journal of Sport and Social Issues. 49(4). 371–375.
3.
Grandal, Michael M., Thomas T. Poulsen, Klaus Koefoed, et al.. (2017). Simultaneous Targeting of Two Distinct Epitopes on MET Effectively Inhibits MET- and HGF-Driven Tumor Growth by Multiple Mechanisms. Molecular Cancer Therapeutics. 16(12). 2780–2791. 23 indexed citations
4.
Moshitch-Moshkovitz, Sharon, Galia Tsarfaty, Dafna Kaufman, et al.. (2016). Mimp/Mtch2, an Obesity Susceptibility Gene, Induces Alteration of Fatty Acid Metabolism in Transgenic Mice. PLoS ONE. 11(6). e0157850–e0157850. 18 indexed citations
5.
Zhang, Yuwen, Ben Staal, Curt J. Essenburg, et al.. (2013). Strengthening Context-Dependent Anticancer Effects on Non–Small Cell Lung Carcinoma by Inhibition of Both MET and EGFR. Molecular Cancer Therapeutics. 12(8). 1429–1441. 19 indexed citations
6.
Xie, Qian, Robert H. Bradley, Liang Kang, et al.. (2011). Hepatocyte growth factor (HGF) autocrine activation predicts sensitivity to MET inhibition in glioblastoma. Proceedings of the National Academy of Sciences. 109(2). 570–575. 99 indexed citations
7.
Zhang, Yuwen, Ben Staal, Curt J. Essenburg, et al.. (2010). MET Kinase Inhibitor SGX523 Synergizes with Epidermal Growth Factor Receptor Inhibitor Erlotinib in a Hepatocyte Growth Factor–Dependent Fashion to Suppress Carcinoma Growth. Cancer Research. 70(17). 6880–6890. 61 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.
Tsarfaty, Galia, Gideon Y. Stein, Sharon Moshitch-Moshkovitz, et al.. (2006). HGF/SF Increases Tumor Blood Volume: A Novel Tool for the In Vivo Functional Molecular Imaging of Met. Neoplasia. 8(5). 344–352. 8 indexed citations
10.
Moshitch-Moshkovitz, Sharon, Galia Tsarfaty, Dafna Kaufman, et al.. (2006). In Vivo Direct Molecular Imaging of Early Tumorigenesis and Malignant Progression Induced by Transgenic Expression of GFP-Met. Neoplasia. 8(5). 353–363. 19 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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