Van Cherington

1.1k total citations
27 papers, 958 citations indexed

About

Van Cherington is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Van Cherington has authored 27 papers receiving a total of 958 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Genetics and 9 papers in Oncology. Recurrent topics in Van Cherington's work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (7 papers) and Polyomavirus and related diseases (5 papers). Van Cherington is often cited by papers focused on Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (7 papers) and Polyomavirus and related diseases (5 papers). Van Cherington collaborates with scholars based in United States, Switzerland and Australia. Van Cherington's co-authors include Thomas M. Roberts, Bruce M. Spiegelman, Peimin Qi, Arthur S. Tischler, Barak Morgan, Julian K. Wu, E Paucha, Douglas M. Jefferson, Linda C. Rogers and Andrew E. Mulberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The EMBO Journal.

In The Last Decade

Van Cherington

27 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Van Cherington United States 16 525 365 303 139 117 27 958
Chu-Chih Shih United States 10 524 1.0× 209 0.6× 135 0.4× 99 0.7× 104 0.9× 13 945
Paola Rimessi Italy 22 1.1k 2.1× 285 0.8× 415 1.4× 211 1.5× 93 0.8× 49 1.6k
Eric M. Oshiro United States 14 484 0.9× 517 1.4× 338 1.1× 375 2.7× 50 0.4× 15 1.4k
Kenji Tamayose Japan 13 477 0.9× 346 0.9× 178 0.6× 68 0.5× 69 0.6× 23 846
Sally E. Spence United States 17 761 1.4× 425 1.2× 201 0.7× 88 0.6× 64 0.5× 26 1.2k
P Sutrave United States 15 1.3k 2.4× 417 1.1× 175 0.6× 104 0.7× 138 1.2× 24 1.6k
Yoshitaka Miyagawa Japan 24 933 1.8× 359 1.0× 198 0.7× 194 1.4× 265 2.3× 68 1.4k
Caroline Geisen Germany 14 535 1.0× 216 0.6× 351 1.2× 225 1.6× 106 0.9× 24 980
Jeng-Shin Lee United States 12 885 1.7× 270 0.7× 206 0.7× 86 0.6× 64 0.5× 14 1.2k
Christel Rivière France 11 520 1.0× 454 1.2× 144 0.5× 76 0.5× 52 0.4× 13 967

Countries citing papers authored by Van Cherington

Since Specialization
Citations

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

Fields of papers citing papers by Van Cherington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Van Cherington

This figure shows the co-authorship network connecting the top 25 collaborators of Van Cherington. A scholar is included among the top collaborators of Van Cherington 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 Van Cherington. Van Cherington 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.
Higgins, Cynthia & Van Cherington. (2003). Methods to Assess Inhibition of Adipocyte Differentiation by SV40 Large T Antigen. Humana Press eBooks. 165. 165–183. 2 indexed citations
2.
Cherington, Van & Cynthia Higgins. (2003). Using Retroviral Vectors to Express SV40 Tumor Antigens. Humana Press eBooks. 165. 129–150. 3 indexed citations
3.
Powers, James F., Arthur S. Tischler, & Van Cherington. (1999). Discordant effects of rapamycin on proliferation and p70S6 kinase phosphorylation in normal and neoplastic rat chromaffin cells. Neuroscience Letters. 259(3). 137–140. 14 indexed citations
4.
Yen, Andrew, Van Cherington, Brian Schaffhausen, Kevin M. Marks, & Susi Varvayanis. (1999). Transformation-Defective Polyoma Middle T Antigen Mutants Defective in PLCγ, PI-3, or src Kinase Activation Enhance ERK2 Activation and Promote Retinoic Acid-Induced, Cell Differentiation Like Wild-Type Middle T. Experimental Cell Research. 248(2). 538–551. 15 indexed citations
5.
6.
Cherington, Van, Gisela G. Chiang, Theofanis Galanopoulos, et al.. (1998). Retroviral Vector-Modified Bone Marrow Stromal Cells Secrete Biologically Active Factor IX In Vitro and Transiently Deliver Therapeutic Levels of Human Factor IX to the Plasma of Dogs after Reinfusion. Human Gene Therapy. 9(10). 1397–1407. 33 indexed citations
7.
Forbes, M. Elizabeth, et al.. (1998). Polyoma Middle T Antigen in HL-60 Cells Accelerates Hematopoietic Myeloid and Monocytic Cell Differentiation. Experimental Cell Research. 238(1). 42–50. 11 indexed citations
8.
Emami, Shahin, Van Cherington, Gisela G. Chiang, et al.. (1997). Enhanced growth of canine bone marrow stromal cell cultures in the presence of acidic fibroblast growth factor and heparin. In Vitro Cellular & Developmental Biology - Animal. 33(7). 503–511. 6 indexed citations
9.
10.
Hurwitz, David R., Michael Kirchgesser, Theofanis Galanopoulos, et al.. (1997). Systemic Delivery of Human Growth Hormone or Human Factor IX in Dogs by Reintroduced Genetically Modified Autologous Bone Marrow Stromal Cells. Human Gene Therapy. 8(2). 137–156. 86 indexed citations
11.
Caleb, Benjamin, Mitchell Hardenbrook, Van Cherington, & John J. Castellot. (1996). Isolation of vascular smooth muscle cell cultures with altered responsiveness to the antiproliferative effect of heparin. Journal of Cellular Physiology. 167(2). 185–195. 14 indexed citations
12.
Wu, Julian K., et al.. (1996). Tumor cells expressing the herpes simplex virus—thymidine kinase gene in the treatment of Walker 256 meningeal neoplasia in rats. Journal of neurosurgery. 84(2). 250–257. 18 indexed citations
13.
Qi, Peimin, et al.. (1996). Preservation of the bystander cytocidal effect of irradiated herpes simplex virus thymidine kinase (HSV-tk) modified tumor cells. Journal of Neuro-Oncology. 30(3). 225–36. 6 indexed citations
14.
Corbley, Michael J., Van Cherington, Peter Traxler, Nicholas Lydon, & Thomas M. Roberts. (1996). A strategy for screening anti-tumor drugs utilizing oncogenes encoded in retroviral vectors. International Journal of Cancer. 66(6). 753–759. 2 indexed citations
15.
Wegner, Carole C., Van Cherington, J. W. Clemens, et al.. (1996). Production and characterization of WEG-1, an epidermal growth factor/transforming growth factor-alpha-responsive mouse uterine epithelial cell line.. Endocrinology. 137(1). 175–184. 9 indexed citations
16.
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18.
Tischler, Arthur S., et al.. (1994). Multiple mitogenic signalling pathways in chromaffin cells: A model for cell cycle regulation in the nervous system. Neuroscience Letters. 168(1-2). 181–184. 13 indexed citations
19.
Pallas, D C, et al.. (1988). Cellular proteins that associate with the middle and small T antigens of polyomavirus. Journal of Virology. 62(11). 3934–3940. 61 indexed citations
20.
Cherington, Van, Barak Morgan, Bruce M. Spiegelman, & Thomas M. Roberts. (1986). Recombinant retroviruses that transduce individual polyoma tumor antigens: effects on growth and differentiation.. Proceedings of the National Academy of Sciences. 83(12). 4307–4311. 86 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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