Edward J. Roy

3.0k total citations
90 papers, 2.5k citations indexed

About

Edward J. Roy is a scholar working on Genetics, Behavioral Neuroscience and Oncology. According to data from OpenAlex, Edward J. Roy has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 24 papers in Behavioral Neuroscience and 21 papers in Oncology. Recurrent topics in Edward J. Roy's work include Stress Responses and Cortisol (24 papers), CAR-T cell therapy research (18 papers) and Hypothalamic control of reproductive hormones (17 papers). Edward J. Roy is often cited by papers focused on Stress Responses and Cortisol (24 papers), CAR-T cell therapy research (18 papers) and Hypothalamic control of reproductive hormones (17 papers). Edward J. Roy collaborates with scholars based in United States, Russia and Italy. Edward J. Roy's co-authors include George N. Wade, David M. Kranz, Bruce S. McEwen, Cheryl D. Conrad, Ann S. Clark, Marlene A. Wilson, Neil J. MacLusky, Todd A. Patrick, Diana Thomas and Jia Liu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and ACS Nano.

In The Last Decade

Edward J. Roy

90 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward J. Roy United States 31 744 498 490 454 453 90 2.5k
Hartwig Schmale Germany 30 207 0.3× 383 0.8× 141 0.3× 392 0.9× 1.2k 2.6× 63 3.2k
Kuo‐Fen Lee United States 36 748 1.0× 1.3k 2.6× 181 0.4× 526 1.2× 2.7k 5.9× 52 7.0k
Gajanan Nilaver United States 31 307 0.4× 409 0.8× 331 0.7× 127 0.3× 1.5k 3.3× 81 4.2k
Gwen V. Childs United States 45 628 0.8× 964 1.9× 1.6k 3.3× 122 0.3× 1.6k 3.5× 192 5.9k
Takaaki Hattori Japan 26 397 0.5× 307 0.6× 89 0.2× 136 0.3× 428 0.9× 88 2.6k
D. Richter Germany 30 211 0.3× 286 0.6× 186 0.4× 125 0.3× 941 2.1× 62 2.6k
Françoise Muscatelli France 31 2.2k 3.0× 99 0.2× 327 0.7× 183 0.4× 2.7k 5.9× 65 4.4k
Rodolfo G. Goya Argentina 24 409 0.5× 241 0.5× 114 0.2× 86 0.2× 649 1.4× 131 2.2k
Michael G. Kaplitt United States 45 2.5k 3.3× 241 0.5× 270 0.6× 364 0.8× 3.4k 7.4× 121 8.0k
Nicole A. Datson Netherlands 35 822 1.1× 1.1k 2.3× 56 0.1× 126 0.3× 1.9k 4.2× 72 4.1k

Countries citing papers authored by Edward J. Roy

Since Specialization
Citations

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

Fields of papers citing papers by Edward J. Roy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward J. Roy

This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Roy. A scholar is included among the top collaborators of Edward J. Roy 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 Edward J. Roy. Edward J. Roy 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.
Rañoa, Diana Rose E., Preeti Sharma, Marlies V. Hager, et al.. (2023). Single CAR-T cell treatment controls disseminated ovarian cancer in a syngeneic mouse model. Journal for ImmunoTherapy of Cancer. 11(5). e006509–e006509. 10 indexed citations
2.
Guo, Zong Sheng, David L. Bartlett, Diana Thomas, et al.. (2020). Synergistic Combination of Oncolytic Virotherapy and Immunotherapy for Glioma. Clinical Cancer Research. 26(9). 2216–2230. 44 indexed citations
3.
Guo, Zong Sheng, David L. Bartlett, Jia Liu, et al.. (2019). <p>A cautionary note on the selectivity of oncolytic poxviruses</p>. PubMed. Volume 8. 3–8. 15 indexed citations
4.
Rendeiro, Catarina, Tushar K. Bhattacharya, Jeffrey H. Baxter, et al.. (2016). Long-lasting impairments in adult neurogenesis, spatial learning and memory from a standard chemotherapy regimen used to treat breast cancer. Behavioural Brain Research. 315. 10–22. 39 indexed citations
5.
Thomas, Diana, David M. Kranz, Jia Liu, et al.. (2014). Myxoma Virus Expressing a Fusion Protein of Interleukin-15 (IL15) and IL15 Receptor Alpha Has Enhanced Antitumor Activity. PLoS ONE. 9(10). e109801–e109801. 44 indexed citations
6.
Chervin, Adam S., Jennifer D. Stone, Boris Engels, et al.. (2012). Design of T-cell receptor libraries with diverse binding properties to examine adoptive T-cell responses. Gene Therapy. 20(6). 634–644. 18 indexed citations
7.
Thomas, Diana, Rosalinda Doty, Jia Liu, et al.. (2011). Myxoma virus combined with rapamycin treatment enhances adoptive T cell therapy for murine melanoma brain tumors. Cancer Immunology Immunotherapy. 60(10). 1461–1472. 34 indexed citations
8.
Gorbenko, O. Yu., O. V. Mel’nikov, A. R. Kaul, et al.. (2009). Synthesis, composition, and properties of the solid solutions La1 −x Ag y MnO3 + δ, promising materials for cell hyperthermia. Doklady Chemistry. 424(1). 7–10. 5 indexed citations
9.
Roy, Edward J., Mayandi Sivaguru, Glenn Fried, Brian D. Gray, & David M. Kranz. (2009). Imaging membrane intercalating near infrared dyes to track multiple cell populations. Journal of Immunological Methods. 348(1-2). 18–29. 1 indexed citations
10.
Meng, Ling-Jian, et al.. (2008). An ultrahigh resolution SPECT system for I-125 mouse brain imaging studies. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 600(2). 498–505. 27 indexed citations
11.
Fan, Timothy M., David M. Kranz, Richard A. Flavell, & Edward J. Roy. (2008). Costimulatory strength influences the differential effects of transforming growth factor β1 for the generation of CD8+ regulatory T cells☆. Molecular Immunology. 45(10). 2937–2950. 19 indexed citations
12.
Fan, Timothy M., David M. Kranz, & Edward J. Roy. (2007). Enhancing Antitumor Immunity: Combining IL-12 With TGFβ1 Antagonism. Journal of Immunotherapy. 30(5). 479–489. 7 indexed citations
13.
Roy, Edward J., et al.. (2000). IL-12 Treatment of Endogenously Arising Murine Brain Tumors. The Journal of Immunology. 165(12). 7293–7299. 30 indexed citations
14.
Roy, Edward J., Bryan K. Cho, Laurie A. Rund, Todd A. Patrick, & David M. Kranz. (1998). Targeting T cells against brain tumors with a bispecific ligand-antibody conjugate. International Journal of Cancer. 76(5). 761–766. 21 indexed citations
15.
Kranz, David M., et al.. (1998). Targeting tumor cells with bispecific antibodies and T cells. Journal of Controlled Release. 53(1-3). 77–84. 18 indexed citations
16.
Clark, Ann S., et al.. (1990). Modulation by Norepinephrine of Neural Responses to Estradiol. Neuroendocrinology. 52(5). 473–480. 12 indexed citations
17.
Roy, Edward J., et al.. (1990). Individual variations in hippocampal dentate degeneration following adrenalectomy. Behavioral and Neural Biology. 54(3). 330–336. 36 indexed citations
18.
Wilson, Marlene A., et al.. (1989). Direct effects of ovarian hormones on antidepressant binding sites. Brain Research Bulletin. 22(2). 181–185. 14 indexed citations
19.
McEwen, Bruce S., Paula G. Davis, Peter H. Jellinck, et al.. (1980). Steroid hormone receptors, brain cell function, and the neuroendocrine system.. PubMed. 21. 383–90. 7 indexed citations
20.
Harkness, R. A., Anne McLaren, & Edward J. Roy. (1964). OESTROGENS IN MOUSE PLACENTAE. Reproduction. 8(3). 411–413. 3 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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