Amy Beck

4.9k total citations · 1 hit paper
33 papers, 2.6k citations indexed

About

Amy Beck is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Amy Beck has authored 33 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Oncology and 8 papers in Immunology. Recurrent topics in Amy Beck's work include Immunotherapy and Immune Responses (7 papers), Peptidase Inhibition and Analysis (4 papers) and RNA modifications and cancer (4 papers). Amy Beck is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Peptidase Inhibition and Analysis (4 papers) and RNA modifications and cancer (4 papers). Amy Beck collaborates with scholars based in United States, Switzerland and France. Amy Beck's co-authors include Paulette Mhawech‐Fauceglia, Kunle Odunsi, Shashikant Lele, Feng Qian, Sacha Gnjatic, Lloyd J. Old, Junko Matsuzaki, Austin Miller, Protul Shrikant and Takemasa Tsuji and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

In The Last Decade

Amy Beck

32 papers receiving 2.5k citations

Hit Papers

Tumor-infiltrating NY-ESO-1–specific CD8 + T cells are ne... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy Beck United States 21 1.3k 1.1k 1.1k 339 293 33 2.6k
Julie S. Nielsen Canada 20 927 0.7× 959 0.9× 686 0.6× 139 0.4× 207 0.7× 26 2.0k
Luca Zammataro Italy 18 665 0.5× 867 0.8× 1.2k 1.1× 201 0.6× 293 1.0× 39 2.4k
Stefania Canè Italy 23 698 0.5× 768 0.7× 619 0.6× 197 0.6× 310 1.1× 39 2.0k
Klara Balint United States 15 1.4k 1.0× 1.4k 1.3× 1.2k 1.1× 176 0.5× 454 1.5× 20 2.7k
Lalit R. Patel United States 18 1.1k 0.9× 451 0.4× 941 0.9× 430 1.3× 660 2.3× 26 2.3k
Elizabeth H. Stover United States 16 1.2k 0.9× 508 0.5× 1.2k 1.1× 333 1.0× 414 1.4× 46 2.7k
Håkan Hedman Sweden 28 601 0.5× 493 0.4× 1.5k 1.4× 188 0.6× 328 1.1× 71 2.3k
Anita Wolfer Switzerland 13 690 0.5× 454 0.4× 1.3k 1.3× 127 0.4× 352 1.2× 32 2.2k
Kazuhiro Kami Japan 20 1.0k 0.8× 272 0.2× 1.2k 1.1× 187 0.6× 320 1.1× 34 2.0k
Eleni Maniati United Kingdom 19 750 0.6× 708 0.6× 580 0.5× 155 0.5× 272 0.9× 40 1.6k

Countries citing papers authored by Amy Beck

Since Specialization
Citations

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

Fields of papers citing papers by Amy Beck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Beck

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Beck. A scholar is included among the top collaborators of Amy Beck 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 Amy Beck. Amy Beck 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.
Odunsi, Kunle, Junko Matsuzaki, Smitha R. James, et al.. (2014). Epigenetic Potentiation of NY-ESO-1 Vaccine Therapy in Human Ovarian Cancer. Cancer Immunology Research. 2(1). 37–49. 153 indexed citations
2.
Eng, Kevin H., Paulette Mhawech‐Fauceglia, Carl D. Morrison, et al.. (2014). Expression and Immune Responses to MAGE Antigens Predict Survival in Epithelial Ovarian Cancer. PLoS ONE. 9(8). e104099–e104099. 57 indexed citations
3.
Liao, Jianqun, Feng Qian, Nana Tchabo, et al.. (2014). Ovarian Cancer Spheroid Cells with Stem Cell-Like Properties Contribute to Tumor Generation, Metastasis and Chemotherapy Resistance through Hypoxia-Resistant Metabolism. PLoS ONE. 9(1). e84941–e84941. 290 indexed citations
4.
Godoy, Heidi, Paulette Mhawech‐Fauceglia, Amy Beck, et al.. (2013). Developmentally Restricted Differentiation Antigens Are Targets for Immunotherapy in Epithelial Ovarian Carcinoma. International Journal of Gynecological Pathology. 32(6). 536–540. 16 indexed citations
5.
Odunsi, Kunle, Paulette Mhawech‐Fauceglia, Chris Andrews, et al.. (2012). Elevated Expression of the Serine-Arginine Protein Kinase 1 Gene in Ovarian Cancer and Its Role in Cisplatin Cytotoxicity In Vitro. PLoS ONE. 7(12). e51030–e51030. 40 indexed citations
6.
Godoy, Heidi, Paulette Mhawech‐Fauceglia, Amy Beck, et al.. (2011). Expression of Poly (Adenosine Diphosphate-Ribose) Polymerase and p53 in Epithelial Ovarian Cancer and Their Role in Prognosis and Disease Outcome. International Journal of Gynecological Pathology. 0(0). 139–144. 19 indexed citations
7.
Griffiths, Elizabeth A., Adam R. Karpf, Kunle Odunsi, et al.. (2011). Conventional Dose Hypomethylating Agents Induce CG Antigen Genes In Vivo. Blood. 118(21). 2441–2441. 1 indexed citations
8.
Qian, Feng, Jeannine Villella, Paul K. Wallace, et al.. (2009). Efficacy of Levo-1-Methyl Tryptophan and Dextro-1-Methyl Tryptophan in Reversing Indoleamine-2,3-Dioxygenase–Mediated Arrest of T-Cell Proliferation in Human Epithelial Ovarian Cancer. Cancer Research. 69(13). 5498–5504. 118 indexed citations
9.
Mhawech‐Fauceglia, Paulette, et al.. (2008). Association of TSC1/Hamartin, 14-3-3σ, and p27 Expression With Tumor Outcomes in Patients With pTa/pT1 Urothelial Bladder Carcinoma. American Journal of Clinical Pathology. 129(6). 918–923. 6 indexed citations
10.
Mhawech‐Fauceglia, Paulette, François R. Herrmann, Chris Andrews, et al.. (2008). 14-3-3σ Expression and prognostic value in patients with epithelial ovarian carcinoma: A high throughput tissue microarray analysis. European Journal of Surgical Oncology. 35(7). 763–767. 10 indexed citations
12.
Mhawech‐Fauceglia, Paulette, Pavel Dulguerov, Amy Beck, Marta Bonet, & Abdelkarim S. Allal. (2006). Value of ezrin, maspin and nm23-H1 protein expressions in predicting outcome of patients with head and neck squamous-cell carcinoma treated with radical radiotherapy. Journal of Clinical Pathology. 60(2). 185–189. 26 indexed citations
13.
Mhawech‐Fauceglia, Paulette, et al.. (2006). FGFR3 and p53 protein expressions in patients with pTa and pT1 urothelial bladder cancer. European Journal of Surgical Oncology. 32(2). 231–237. 57 indexed citations
14.
Repasky, Elizabeth A., Protul Shrikant, Marilyn Intengan, et al.. (2005). Expression of Wilms tumor gene (WT1) in epithelial ovarian cancer. Gynecologic Oncology. 101(1). 12–17. 69 indexed citations
17.
Geel, Michel van, Amy Beck, Daniel J. Bolland, et al.. (2002). Genomic Analysis of Human Chromosome 10q and 4q Telomeres Suggests a Common Origin. Genomics. 79(2). 210–217. 105 indexed citations
18.
Geel, Michel van, Evan E. Eichler, Amy Beck, et al.. (2002). A Cascade of Complex Subtelomeric Duplications during the Evolution of the Hominoid and Old World Monkey Genomes. The American Journal of Human Genetics. 70(1). 269–278. 22 indexed citations
19.
Huberman, Joel A., Andrew Hyland, Gregory Loewen, et al.. (2001). MCM2 - a promising marker for premalignant lesions of the lung: a cohort study. BMC Cancer. 1(1). 6–6. 74 indexed citations
20.
Beck, Amy, M C Etienne, S. Chéradame, et al.. (1994). Wide range for optimal concentration of folinic acid in fluorouracil modulation—Experimental data on human tumour cell lines. European Journal of Cancer. 30(10). 1522–1526. 14 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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