Roy Noy

5.2k total citations · 2 hit papers
20 papers, 3.9k citations indexed

About

Roy Noy is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Roy Noy has authored 20 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Roy Noy's work include Immune cells in cancer (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (4 papers). Roy Noy is often cited by papers focused on Immune cells in cancer (6 papers), Immunotherapy and Immune Responses (5 papers) and CAR-T cell therapy research (4 papers). Roy Noy collaborates with scholars based in Israel, United Kingdom and United States. Roy Noy's co-authors include Jeffrey W. Pollard, Luca Cassetta, Gaël Sugano, Bin‐Zhi Qian, Daniel Soong, Takanori Kitamura, Jiufeng Li, Yu Kato, Yoram Reiter and Kfir Oved and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.

In The Last Decade

Roy Noy

20 papers receiving 3.9k citations

Hit Papers

Tumor-Associated Macrophages: From Mechanisms to Therapy 2014 2026 2018 2022 2014 2015 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roy Noy Israel 12 2.7k 1.8k 1.3k 590 421 20 3.9k
Linda A. Snyder United States 25 2.7k 1.0× 2.4k 1.4× 1.5k 1.1× 614 1.0× 278 0.7× 46 4.6k
Graziella Solinas Italy 12 1.9k 0.7× 1.3k 0.7× 1.0k 0.8× 453 0.8× 248 0.6× 15 3.0k
Damya Laoui Belgium 31 3.6k 1.4× 2.3k 1.3× 1.9k 1.5× 858 1.5× 423 1.0× 60 5.5k
Laura Strauss United States 29 3.2k 1.2× 2.0k 1.1× 1.1k 0.9× 542 0.9× 210 0.5× 46 4.5k
Takuro Noguchi Japan 13 1.7k 0.7× 1.6k 0.9× 1.1k 0.8× 889 1.5× 202 0.5× 49 3.3k
Alicia Pedraza United States 14 1.6k 0.6× 966 0.6× 1.6k 1.2× 895 1.5× 213 0.5× 18 3.9k
Jason Miska United States 27 1.4k 0.5× 897 0.5× 1.1k 0.8× 486 0.8× 339 0.8× 73 2.8k
Richard L. Blosser United States 15 2.0k 0.8× 2.0k 1.1× 1.1k 0.9× 932 1.6× 147 0.3× 18 3.9k
Linda Vatan United States 17 2.4k 0.9× 2.3k 1.3× 1.7k 1.3× 818 1.4× 182 0.4× 25 4.3k

Countries citing papers authored by Roy Noy

Since Specialization
Citations

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

Fields of papers citing papers by Roy Noy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roy Noy

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Noy. A scholar is included among the top collaborators of Roy Noy 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 Roy Noy. Roy Noy 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.
Cassetta, Luca, Roy Noy, Agnieszka Swierczak, et al.. (2016). Isolation of Mouse and Human Tumor-Associated Macrophages. Advances in experimental medicine and biology. 899. 211–229. 55 indexed citations
2.
Kitamura, Takanori, Bin‐Zhi Qian, Daniel Soong, et al.. (2015). CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages. The Journal of Experimental Medicine. 212(7). 1043–1059. 509 indexed citations breakdown →
3.
Noy, Roy, et al.. (2015). Recruitment of Oligoclonal Viral-Specific T cells to Kill Human Tumor Cells Using Single-Chain Antibody–Peptide–HLA Fusion Molecules. Molecular Cancer Therapeutics. 14(6). 1327–1335. 2 indexed citations
4.
Kitamura, Takanori, Bin‐Zhi Qian, Daniel Soong, et al.. (2015). CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages. The Journal of Cell Biology. 209(6). 2096OIA117–2096OIA117. 10 indexed citations
5.
Noy, Roy & Jeffrey W. Pollard. (2014). Tumor-Associated Macrophages: From Mechanisms to Therapy. Immunity. 41(5). 866–866. 119 indexed citations
6.
Noy, Roy & Jeffrey W. Pollard. (2014). Tumor-Associated Macrophages: From Mechanisms to Therapy. Immunity. 41(1). 49–61. 3078 indexed citations breakdown →
7.
Oved, Kfir, Eran Eden, Roy Noy, et al.. (2009). Predicting and controlling the reactivity of immune cell populations against cancer. Molecular Systems Biology. 5(1). 265–265. 12 indexed citations
8.
Oved, Kfir, Omer Ziv, Jasmine Jacob‐Hirsch, et al.. (2007). A Novel Postpriming Regulatory Check Point of Effector/Memory T Cells Dictated through Antigen Density Threshold-Dependent Anergy. The Journal of Immunology. 178(4). 2307–2317. 14 indexed citations
9.
Mazor, Yariv, Roy Noy, Winfried S. Wels, & Itai Benhar. (2007). chFRP5-ZZ-PE38, a large IgG-toxin immunoconjugate outperforms the corresponding smaller FRP5(Fv)-ETA immunotoxin in eradicating ErbB2-expressing tumor xenografts. Cancer Letters. 257(1). 124–135. 19 indexed citations
10.
Noy, Roy, et al.. (2006). Selective antibody‐mediated targeting of class I MHC to EGFR‐expressing tumor cells induces potent antitumor CTL activity in vitro and in vivo. International Journal of Cancer. 120(2). 329–336. 10 indexed citations
11.
Noy, Roy, et al.. (2005). T-cell receptor-like antibodies: novel reagents for clinical cancer immunology and immunotherapy. Expert Review of Anticancer Therapy. 5(3). 523–536. 13 indexed citations
13.
Lev, Avital, Roy Noy, Kfir Oved, et al.. (2004). Tumor-specific Ab-mediated targeting of MHC-peptide complexes induces regression of human tumor xenograftsin vivo. Proceedings of the National Academy of Sciences. 101(24). 9051–9056. 36 indexed citations
14.
Noy, Roy, Zvi Ben‐Zvi, Fabio Candotti, et al.. (2002). Pharmacokinetics and organ distribution of N -methanocarbathymidine, a novel thymidine analog, in mice bearing tumors transduced with the herpes simplex thymidine kinase gene. Cancer Chemotherapy and Pharmacology. 50(5). 360–366. 8 indexed citations
15.
Noy, Roy, Zvi Ben‐Zvi, Esther Manor, et al.. (2002). Antitumor activity and metabolic activation of N-methanocarbathymidine, a novel thymidine analogue with a pseudosugar rigidly fixed in the northern conformation, in murine colon cancer cells expressing herpes simplex thymidine kinase.. PubMed. 1(8). 585–93. 11 indexed citations
16.
Embleton, M. J. & Roy Noy. (1991). Inhibition of Chemically Induced Neoplastic Transformation in vitro by Saturated Fatty Acids. Pathobiology. 59(2). 69–75. 2 indexed citations
17.
Kennedy, Jonathan, et al.. (1989). A new rapid enzyme digestion method for predicting in Vitro protein quality (PDD index). Food Chemistry. 32(4). 277–295. 6 indexed citations
18.
Kennedy, John F., et al.. (1987). Composition of the Low Temperature Precipitate from Commercial High Dextrose Equivalent Maltodextrins and the Kinetics of its Formation. Starch - Stärke. 39(5). 171–178. 7 indexed citations
19.
Kennedy, John F., et al.. (1986). Factors Affecting, and Prediction of, the Low Temperature Precipitation of Commercial Low DE Maltodextrins. Starch - Stärke. 38(8). 273–281. 7 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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