Jeffrey VanWye

844 total citations
18 papers, 669 citations indexed

About

Jeffrey VanWye is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cancer Research. According to data from OpenAlex, Jeffrey VanWye has authored 18 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 4 papers in Cancer Research. Recurrent topics in Jeffrey VanWye's work include MicroRNA in disease regulation (4 papers), Cancer-related gene regulation (3 papers) and Malaria Research and Control (3 papers). Jeffrey VanWye is often cited by papers focused on MicroRNA in disease regulation (4 papers), Cancer-related gene regulation (3 papers) and Malaria Research and Control (3 papers). Jeffrey VanWye collaborates with scholars based in United States, Netherlands and Canada. Jeffrey VanWye's co-authors include Kasturi Haldar, Travis Harrison, Heather McManus, Sabine A. Lauer, Narla Mohandas, N. Luisa Hiller, Benjamin U. Samuel, Hana Totary-Jain, D. L. Crawford and John N. Anderson and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Jeffrey VanWye

17 papers receiving 658 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeffrey VanWye United States 15 406 179 94 67 65 18 669
Yanhai Wang China 13 368 0.9× 37 0.2× 63 0.7× 54 0.8× 87 1.3× 53 690
Heather Sanders United States 9 231 0.6× 214 1.2× 128 1.4× 56 0.8× 97 1.5× 21 646
Rainer Mußmann Netherlands 13 367 0.9× 117 0.7× 349 3.7× 47 0.7× 13 0.2× 14 903
Lara K. Abramowitz United States 17 491 1.2× 175 1.0× 245 2.6× 27 0.4× 20 0.3× 26 839
Anne Vannier Switzerland 12 350 0.9× 49 0.3× 41 0.4× 74 1.1× 13 0.2× 20 561
Kasem Kulkeaw Thailand 16 285 0.7× 43 0.2× 138 1.5× 24 0.4× 52 0.8× 57 719
J. Olert Germany 12 305 0.8× 66 0.4× 53 0.6× 46 0.7× 27 0.4× 18 648
Liming Gui United Kingdom 8 595 1.5× 287 1.6× 149 1.6× 59 0.9× 28 0.4× 9 958
Kumarasamypet M. Mohankumar India 14 378 0.9× 94 0.5× 233 2.5× 135 2.0× 40 0.6× 27 827
Audra J. Charron United States 16 522 1.3× 51 0.3× 73 0.8× 23 0.3× 49 0.8× 26 970

Countries citing papers authored by Jeffrey VanWye

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey VanWye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey VanWye

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

All Works

18 of 18 papers shown
1.
VanWye, Jeffrey, Klaas E.A. Max, İsmet Hortu, et al.. (2023). SINE RNA of the imprinted miRNA clusters mediates constitutive type III interferon expression and antiviral protection in hemochorial placentas. Cell Host & Microbe. 31(7). 1185–1199.e10. 14 indexed citations
2.
VanWye, Jeffrey, et al.. (2021). Self-assembled miRNA-switch nanoparticles target denuded regions and prevent restenosis. Molecular Therapy. 29(5). 1744–1757. 33 indexed citations
3.
Yang, Ying, Kemal M. Akat, John Canfield, et al.. (2020). Chromosome 19 microRNA cluster enhances cell reprogramming by inhibiting epithelial-to-mesenchymal transition. Scientific Reports. 10(1). 3029–3029. 38 indexed citations
4.
Canfield, John, et al.. (2018). Nucleotide Modification Alters MicroRNA-Dependent Silencing of MicroRNA Switches. Molecular Therapy — Nucleic Acids. 14. 339–350. 27 indexed citations
5.
Akat, Kemal M., John Canfield, Jeffrey VanWye, et al.. (2018). Modulation of LIN28B/Let-7 Signaling by Propranolol Contributes to Infantile Hemangioma Involution. Arteriosclerosis Thrombosis and Vascular Biology. 38(6). 1321–1332. 19 indexed citations
6.
Wang, Zhiqiang, Xiaoqing Han, Ke Jin, et al.. (2016). The Small Molecule IMR-1 Inhibits the Notch Transcriptional Activation Complex to Suppress Tumorigenesis. Cancer Research. 76(12). 3593–3603. 59 indexed citations
7.
Ranganathan, Prathibha, Rodrigo Vasquez‐Del Carpio, Fred M. Kaplan, et al.. (2011). Hierarchical Phosphorylation within the Ankyrin Repeat Domain Defines a Phosphoregulatory Loop That Regulates Notch Transcriptional Activity. Journal of Biological Chemistry. 286(33). 28844–28857. 32 indexed citations
8.
Carpio, Rodrigo Vasquez‐Del, Fred M. Kaplan, Kelly Weaver, et al.. (2011). Assembly of a Notch Transcriptional Activation Complex Requires Multimerization. Molecular and Cellular Biology. 31(7). 1396–1408. 27 indexed citations
9.
Dhodda, Vinay K., Ronald Godiska, Jeffrey VanWye, et al.. (2010). ExCyto PCR Amplification. PLoS ONE. 5(9). e12629–e12629. 6 indexed citations
10.
Pirooznia, Mehdi, et al.. (2009). Genomic Resources for Karenia brevis.. 228–234. 1 indexed citations
11.
Richardson, David E., et al.. (2006). High‐throughput species identification: from DNA isolation to bioinformatics. Molecular Ecology Notes. 7(2). 199–207. 62 indexed citations
12.
Paschall, Justin, Marjorie F. Oleksiak, Jeffrey VanWye, et al.. (2004). FunnyBase: a systems level functional annotation of Fundulus ESTs for the analysis of gene expression. BMC Genomics. 5(1). 96–96. 29 indexed citations
13.
Lauer, Sabine A., Jeffrey VanWye, Travis Harrison, et al.. (2000). Vacuolar uptake of host components, and a role for cholesterol and sphingomyelin in malarial infection. The EMBO Journal. 19(14). 3556–3564. 187 indexed citations
14.
Akompong, Thomas, Jeffrey VanWye, Nafisa Ghori, & Kasturi Haldar. (1999). Artemisinin and its derivatives are transported by a vacuolar-network of Plasmodium falciparum and their anti-malarial activities are additive with toxic sphingolipid analogues that block the network. Molecular and Biochemical Parasitology. 101(1-2). 71–79. 22 indexed citations
15.
VanWye, Jeffrey, et al.. (1999). Gene organization of rab6, a marker for the novel Golgi of Plasmodium. Molecular and Biochemical Parasitology. 100(2). 217–222. 1 indexed citations
16.
Bozdech, Zbynek, Jeffrey VanWye, Kasturi Haldar, & Erwin Schurr. (1998). The human malaria parasite Plasmodium falciparum exports the ATP-binding cassette protein PFGCN20 to membrane structures in the host red blood cell. Molecular and Biochemical Parasitology. 97(1-2). 81–95. 26 indexed citations
17.
VanWye, Jeffrey & Kasturi Haldar. (1997). Expression of green fluorescent protein in Plasmodium falciparum. Molecular and Biochemical Parasitology. 87(2). 225–229. 42 indexed citations
18.
VanWye, Jeffrey, Edward C. Bronson, & John N. Anderson. (1991). Species-specific patterns of DNA bending and sequence. Nucleic Acids Research. 19(19). 5253–5261. 44 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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