W. Jay Ramsey

3.3k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

W. Jay Ramsey is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, W. Jay Ramsey has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Oncology and 14 papers in Genetics. Recurrent topics in W. Jay Ramsey's work include Virus-based gene therapy research (14 papers), CAR-T cell therapy research (9 papers) and Immunotherapy and Immune Responses (8 papers). W. Jay Ramsey is often cited by papers focused on Virus-based gene therapy research (14 papers), CAR-T cell therapy research (9 papers) and Immunotherapy and Immune Responses (8 papers). W. Jay Ramsey collaborates with scholars based in United States, Germany and Japan. W. Jay Ramsey's co-authors include R. Michael Blaese, Richard A. Morgan, Nicholas N. Vahanian, Thomas A. Fleisher, Gene M. Shearer, A. Dusty Miller, Charles S. Carter, Craig A. Mullen, Kenneth W. Culver and Jay J. Greenblatt and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Oncology.

In The Last Decade

W. Jay Ramsey

34 papers receiving 1.7k citations

Hit Papers

T Lymphocyte-Directed Gene Therapy for ADA − SCID: Initia... 1995 2026 2005 2015 1995 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Jay Ramsey United States 16 1.3k 1.2k 587 228 163 34 1.8k
Abraham Scaria United States 22 1.7k 1.3× 1.4k 1.1× 392 0.7× 184 0.8× 169 1.0× 54 2.4k
Markus Hildinger Germany 23 1.7k 1.3× 1.3k 1.1× 411 0.7× 187 0.8× 213 1.3× 31 2.2k
Gudrun Schiedner Germany 19 1.7k 1.3× 1.7k 1.4× 490 0.8× 148 0.6× 183 1.1× 31 2.3k
D. Valerio Netherlands 23 1.3k 1.0× 1.1k 0.9× 384 0.7× 215 0.9× 402 2.5× 40 1.9k
Jian-Yun Dong United States 19 1.2k 0.9× 730 0.6× 237 0.4× 187 0.8× 175 1.1× 26 1.7k
Dinko Valerio Netherlands 26 1.1k 0.9× 1.1k 0.9× 611 1.0× 241 1.1× 181 1.1× 56 1.9k
Cécile Chartier United States 12 1.1k 0.8× 731 0.6× 895 1.5× 232 1.0× 104 0.6× 24 1.7k
David M. Markusic United States 26 1.5k 1.2× 1.4k 1.1× 641 1.1× 263 1.2× 236 1.4× 54 2.4k
Delila Serra United States 21 753 0.6× 676 0.5× 354 0.6× 420 1.8× 126 0.8× 30 1.5k
Heung Chong United Kingdom 18 874 0.7× 758 0.6× 537 0.9× 498 2.2× 175 1.1× 36 1.5k

Countries citing papers authored by W. Jay Ramsey

Since Specialization
Citations

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

Fields of papers citing papers by W. Jay Ramsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Jay Ramsey. 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 W. Jay Ramsey. The network helps show where W. Jay Ramsey may publish in the future.

Co-authorship network of co-authors of W. Jay Ramsey

This figure shows the co-authorship network connecting the top 25 collaborators of W. Jay Ramsey. A scholar is included among the top collaborators of W. Jay Ramsey 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 W. Jay Ramsey. W. Jay Ramsey 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.
Riker, Adam I., et al.. (2014). Combination immunotherapy for high-risk resected and metastatic melanoma patients.. PubMed. 14(2). 164–74. 6 indexed citations
2.
Hemstreet, George P., Gabriela R. Rossi, В. М. Писарев, et al.. (2012). Cellular Immunotherapy Study of Prostate Cancer Patients and Resulting IgG Responses to Peptide Epitopes Predicted From Prostate Tumor-associated Autoantigens. Journal of Immunotherapy. 36(1). 57–65. 9 indexed citations
3.
Riker, Adam I., et al.. (2011). Combination immunotherapy for high-risk and advanced melanoma patients.. Journal of Clinical Oncology. 29(15_suppl). 8534–8534. 1 indexed citations
4.
Rossi, Gabriela R., et al.. (2008). Allogeneic Melanoma Vaccine Expressing αGal Epitopes Induces Antitumor Immunity to Autologous Antigens in Mice Without Signs of Toxicity. Journal of Immunotherapy. 31(6). 545–554. 15 indexed citations
5.
Oyama, Yu, Marina Talamonti, Mary F. Mulcahy, et al.. (2007). A phase I/II study of an antitumor vaccination using α (1,3) galactosyltransferase expressing allogeneic tumor cells in pancreatic cancer. Journal of Clinical Oncology. 25(18_suppl). 13512–13512. 1 indexed citations
6.
Wolkersdörfer, Gernot W., et al.. (2004). Trans‐complementing adenoviral vectors for oncolytic therapy of malignant melanoma. The Journal of Gene Medicine. 6(6). 652–662. 20 indexed citations
7.
Okada, Takashi, Natasha J. Caplen, W. Jay Ramsey, et al.. (2004). In situ generation of pseudotyped retroviral progeny by adenovirus‐mediated transduction of tumor cells enhances the killing effect of HSV‐tk suicide gene therapy in vitro and in vivo. The Journal of Gene Medicine. 6(3). 288–299. 12 indexed citations
8.
Shah, Maulik R. & W. Jay Ramsey. (2003). CD8+ T-cell mediated anti-tumor responses cross-reacting against 9L and RT2 rat glioma cell lines. Cellular Immunology. 225(2). 113–121. 4 indexed citations
9.
Wolkersdörfer, Gernot W., S. Bornstein, James N. Higginbotham, et al.. (2002). A Novel Approach Using Transcomplementing Adenoviral Vectors for Gene Therapy of Adrenocortical Cancer. Hormone and Metabolic Research. 34(6). 279–287. 13 indexed citations
10.
Mautino, Mario R., W. Jay Ramsey, Jakob Reiser, & Richard A. Morgan. (2000). Modified Human Immunodeficiency Virus-Based Lentiviral Vectors Display Decreased Sensitivity to Trans -Dominant Rev. Human Gene Therapy. 11(6). 895–908. 32 indexed citations
12.
Wildner, Oliver, John C. Morris, Nicholas N. Vahanian, et al.. (1999). Adenoviral vectors capable of replication improve the efficacy of HSVtk/GCV suicide gene therapy of cancer. Gene Therapy. 6(1). 57–62. 141 indexed citations
13.
Caplen, Natasha J., James N. Higginbotham, John R. Scheel, et al.. (1999). Adeno-retroviral chimeric viruses as in vivo transducing agents. Gene Therapy. 6(3). 454–459. 36 indexed citations
15.
Dunbar, Cynthia E., Lauren A. Chang, Craig A. Mullen, et al.. (1999). Amendment to Clinical Research Project Project 90-C-195. Human Gene Therapy. 10(3). 477–488. 3 indexed citations
16.
Touraine, Renaud, Nicholas N. Vahanian, W. Jay Ramsey, & R. Michael Blaese. (1998). Enhancement of the Herpes Simplex Virus Thymidine Kinase/Ganciclovir Bystander Effect and Its Antitumor Efficacy In Vivo by Pharmacologic Manipulation of Gap Junctions. Human Gene Therapy. 9(16). 2385–2391. 77 indexed citations
17.
Ramsey, W. Jay, Natasha J. Caplen, Qin Li, et al.. (1998). Adenovirus Vectors as Transcomplementing Templates for the Production of Replication Defective Retroviral Vectors. Biochemical and Biophysical Research Communications. 246(3). 912–919. 24 indexed citations
18.
Lozier, Jay N., et al.. (1997). Gut Epithelial Cells as Targets for Gene Therapy of Hemophilia. Human Gene Therapy. 8(12). 1481–1490. 42 indexed citations
19.
Blaese, R. Michael, CA Mullen, & W. Jay Ramsey. (1993). Strategies for gene therapy.. PubMed. 41(8). 672–6. 13 indexed citations
20.
Lawrence, Charles B., Donald P. McDonnell, & W. Jay Ramsey. (1985). Analysis of repetitive sequence elements containing tRNA-like sequences. Nucleic Acids Research. 13(12). 4239–4252. 65 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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