Jay Overholser

934 total citations
16 papers, 767 citations indexed

About

Jay Overholser is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jay Overholser has authored 16 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jay Overholser's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Jay Overholser is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Immunotherapy and Immune Responses (6 papers) and Glycosylation and Glycoproteins Research (5 papers). Jay Overholser collaborates with scholars based in United States and China. Jay Overholser's co-authors include Philip E. Thorpe, Victor Stastny, Johannes Waltenberger, Rolf A. Brekken, John D. Minna, Daniel J. Hicklin, Pravin T. P. Kaumaya, Andrea T. Hooper, Harlan W. Waksal and Marie Prewett and has published in prestigious journals such as The Journal of Immunology, Cancer and Clinical Cancer Research.

In The Last Decade

Jay Overholser

16 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Overholser United States 11 439 358 186 157 138 16 767
Tetsuji Sawada Japan 20 494 1.1× 392 1.1× 220 1.2× 199 1.3× 89 0.6× 38 928
Karen Morrison United Kingdom 14 299 0.7× 233 0.7× 177 1.0× 88 0.6× 78 0.6× 23 826
Roger Mouawad France 21 523 1.2× 308 0.9× 208 1.1× 177 1.1× 56 0.4× 57 968
D. Fan United States 14 404 0.9× 359 1.0× 97 0.5× 119 0.8× 128 0.9× 23 804
Л. А. Таширева Russia 17 275 0.6× 375 1.0× 133 0.7× 227 1.4× 82 0.6× 94 741
Cenap Güngör Germany 19 544 1.2× 393 1.1× 145 0.8× 164 1.0× 80 0.6× 51 941
Emily Capone Italy 16 352 0.8× 396 1.1× 143 0.8× 105 0.7× 223 1.6× 36 723
Doreen LePage United States 11 450 1.0× 291 0.8× 163 0.9× 85 0.5× 131 0.9× 24 888
María Villalba Spain 20 407 0.9× 366 1.0× 341 1.8× 232 1.5× 47 0.3× 35 959
Hanli Fan United States 12 318 0.7× 195 0.5× 210 1.1× 243 1.5× 99 0.7× 16 931

Countries citing papers authored by Jay Overholser

Since Specialization
Citations

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

Fields of papers citing papers by Jay Overholser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Overholser

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

All Works

16 of 16 papers shown
1.
Overholser, Jay, Linlin Guo, & Pravin T. P. Kaumaya. (2023). Magnetic Fluorescent Bead-Based Dual-Reporter Flow Analysis of PDL1-Vaxx Peptide Vaccine-Induced Antibody Blockade of the PD-1/PD-L1 Interaction. Journal of Visualized Experiments. 1 indexed citations
2.
Guo, Linlin, Jay Overholser, Anthony J. Good, Nicholas J. Ede, & Pravin T. P. Kaumaya. (2022). Preclinical Studies of a Novel Human PD-1 B-Cell Peptide Cancer Vaccine PD1-Vaxx From BALB/c Mice to Beagle Dogs and to Non-Human Primates (Cynomolgus Monkeys). Frontiers in Oncology. 12. 826566–826566. 16 indexed citations
3.
Hu, Hang, Linlin Guo, Jay Overholser, & Xing Wang. (2022). Mitochondrial VDAC1: A Potential Therapeutic Target of Inflammation-Related Diseases and Clinical Opportunities. Cells. 11(19). 3174–3174. 50 indexed citations
4.
5.
Kaumaya, Pravin T. P., Linlin Guo, Jay Overholser, Manuel L. Penichet, & Tanios Bekaii‐Saab. (2020). Immunogenicity and antitumor efficacy of a novel human PD-1 B-cell vaccine (PD1-Vaxx) and combination immunotherapy with dual trastuzumab/pertuzumab-like HER-2 B-cell epitope vaccines (B-Vaxx) in a syngeneic mouse model. OncoImmunology. 9(1). 1818437–1818437. 26 indexed citations
6.
Bekaii‐Saab, Tanios, Robert Wesolowski, Daniel H. Ahn, et al.. (2019). Phase I Immunotherapy Trial with Two Chimeric HER-2 B-Cell Peptide Vaccines Emulsified in Montanide ISA 720VG and Nor-MDP Adjuvant in Patients with Advanced Solid Tumors. Clinical Cancer Research. 25(12). 3495–3507. 54 indexed citations
7.
8.
Foy, Kevin, Megan Miller, Jay Overholser, et al.. (2014). IGF-1R peptide vaccines/mimics inhibit the growth of BxPC3 and JIMT-1 cancer cells and exhibit synergistic antitumor effects with HER-1 and HER-2 peptides. OncoImmunology. 3(11). e956005–e956005. 8 indexed citations
9.
Miller, Megan, Kevin Foy, Jay Overholser, Rita Nahta, & Pravin T. P. Kaumaya. (2014). HER-3 peptide vaccines/mimics: Combined therapy with IGF-1R, HER-2, and HER-1 peptides induces synergistic antitumor effects against breast and pancreatic cancer cells. OncoImmunology. 3(11). e956012–e956012. 24 indexed citations
10.
Foy, Kevin, et al.. (2013). Peptide Vaccines and Peptidomimetics of EGFR (HER-1) Ligand Binding Domain Inhibit Cancer Cell Growth In Vitro and In Vivo. The Journal of Immunology. 191(1). 217–227. 37 indexed citations
11.
Liao, Fang, Jacqueline Doody, Jay Overholser, et al.. (2002). Selective targeting of angiogenic tumor vasculature by vascular endothelial-cadherin antibody inhibits tumor growth without affecting vascular permeability.. PubMed. 62(9). 2567–75. 86 indexed citations
12.
Overholser, Jay, Marie Prewett, Andrea T. Hooper, Harlan W. Waksal, & Daniel J. Hicklin. (2000). Epidermal growth factor receptor blockade by antibody IMC‐C225 inhibits growth of a human pancreatic carcinoma xenograft in nude mice. Cancer. 89(1). 74–82. 8 indexed citations
13.
Overholser, Jay, Marie Prewett, Andrea T. Hooper, Harlan W. Waksal, & Daniel J. Hicklin. (2000). Epidermal growth factor receptor blockade by antibody IMC-C225 inhibits growth of a human pancreatic carcinoma xenograft in nude mice. Cancer. 89(1). 74–82. 139 indexed citations
14.
Brekken, Rolf A., Jay Overholser, Victor Stastny, et al.. (2000). Selective inhibition of vascular endothelial growth factor (VEGF) receptor 2 (KDR/Flk-1) activity by a monoclonal anti-VEGF antibody blocks tumor growth in mice.. PubMed. 60(18). 5117–24. 269 indexed citations
15.
Derbyshire, Elaine J., et al.. (1995). Anti‐tumor and anti‐angiogenic effects in mice of heparin conjugated to angiostatic steroids. International Journal of Cancer. 63(5). 694–701. 7 indexed citations
16.
Burrows, Francis, Jay Overholser, & Philip E. Thorpe. (1994). Potent antitumor effects of an antitumor endothelial cell immunotoxin in a murine vascular targeting model. Cell Biophysics. 24-25(1-3). 15–25. 4 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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