Erich J. Kushner

1.2k total citations
34 papers, 875 citations indexed

About

Erich J. Kushner is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Erich J. Kushner has authored 34 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Cell Biology and 8 papers in Oncology. Recurrent topics in Erich J. Kushner's work include Angiogenesis and VEGF in Cancer (16 papers), Cellular Mechanics and Interactions (6 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Erich J. Kushner is often cited by papers focused on Angiogenesis and VEGF in Cancer (16 papers), Cellular Mechanics and Interactions (6 papers) and Hippo pathway signaling and YAP/TAZ (6 papers). Erich J. Kushner collaborates with scholars based in United States, Germany and South Korea. Erich J. Kushner's co-authors include Victoria L. Bautch, Christopher A. DeSouza, Owen J. MacEneaney, Brian L. Stauffer, Jared J. Greiner, Gary P. Van Guilder, Walter C. Willett, J. Steven Morris, David J. Hunter and Meir J. Stampfer and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Erich J. Kushner

34 papers receiving 862 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Erich J. Kushner 440 158 155 109 105 34 875
Atsuto Inoue 400 0.9× 161 1.0× 83 0.5× 56 0.5× 79 0.8× 38 995
Erik Quartier 627 1.4× 96 0.6× 103 0.7× 66 0.6× 44 0.4× 24 1.6k
Lina Yang 481 1.1× 67 0.4× 66 0.4× 66 0.6× 86 0.8× 67 992
Gábor Firneisz 238 0.5× 233 1.5× 46 0.3× 78 0.7× 146 1.4× 46 977
Tao Sun 489 1.1× 126 0.8× 66 0.4× 198 1.8× 27 0.3× 67 1.1k
Lianne S.M. Boesten 261 0.6× 121 0.8× 48 0.3× 209 1.9× 43 0.4× 25 785
Caterina Chiappetta 304 0.7× 107 0.7× 34 0.2× 60 0.6× 30 0.3× 37 874
Hong Wa Yung 500 1.1× 46 0.3× 195 1.3× 393 3.6× 51 0.5× 35 1.9k
Stephanie Morgan 441 1.0× 138 0.9× 87 0.6× 206 1.9× 19 0.2× 34 1.5k
Renuga Devi Rajaram 474 1.1× 309 2.0× 59 0.4× 72 0.7× 77 0.7× 16 880

Countries citing papers authored by Erich J. Kushner

Since Specialization
Citations

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

Fields of papers citing papers by Erich J. Kushner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich J. Kushner

This figure shows the co-authorship network connecting the top 25 collaborators of Erich J. Kushner. A scholar is included among the top collaborators of Erich J. Kushner 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 Erich J. Kushner. Erich J. Kushner 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.
Kushner, Erich J., et al.. (2023). Lipidure-based micropattern fabrication for stereotyping cell geometry. Scientific Reports. 13(1). 20451–20451. 2 indexed citations
2.
Kushner, Erich J., et al.. (2022). Rab35 governs apicobasal polarity through regulation of actin dynamics during sprouting angiogenesis. Nature Communications. 13(1). 5276–5276. 9 indexed citations
3.
Kushner, Erich J., et al.. (2021). Capturing membrane trafficking events during 3D angiogenic development in vitro. Microcirculation. 29(6-7). e12726–e12726. 6 indexed citations
4.
Kushner, Erich J., et al.. (2021). Synaptotagmin-Like Protein 2a Regulates Angiogenic Lumen Formation via Weibel-Palade Body Apical Secretion of Angiopoietin-2. Arteriosclerosis Thrombosis and Vascular Biology. 41(6). 1972–1986. 13 indexed citations
5.
Durrant, Jessica, et al.. (2021). Notch regulates vascular collagen IV basement membrane through modulation of lysyl hydroxylase 3 trafficking. Angiogenesis. 24(4). 789–805. 20 indexed citations
6.
Kushner, Erich J., et al.. (2020). Excess centrosomes disrupt vascular lumenization and endothelial cell adherens junctions. Angiogenesis. 23(4). 567–575. 15 indexed citations
7.
Kushner, Erich J., Luke S. Ferro, Zhixian Yu, & Victoria L. Bautch. (2016). Excess centrosomes perturb dynamic endothelial cell repolarization during blood vessel formation. Molecular Biology of the Cell. 27(12). 1911–1920. 19 indexed citations
8.
Mouillesseaux, Kevin P., Lauren M. Saunders, Erich J. Kushner, et al.. (2016). Notch regulates BMP responsiveness and lateral branching in vessel networks via SMAD6. Nature Communications. 7(1). 13247–13247. 80 indexed citations
9.
Yu, Zhixian, Kevin P. Mouillesseaux, Erich J. Kushner, & Victoria L. Bautch. (2016). Tumor-Derived Factors and Reduced p53 Promote Endothelial Cell Centrosome Over-Duplication. PLoS ONE. 11(12). e0168334–e0168334. 6 indexed citations
10.
Kushner, Erich J. & Victoria L. Bautch. (2013). Building blood vessels in development and disease. Current Opinion in Hematology. 20(3). 1–1. 43 indexed citations
11.
Christine, Kathleen S., Nirav M. Amin, Erich J. Kushner, et al.. (2013). CASZ1 Promotes Vascular Assembly and Morphogenesis through the Direct Regulation of an EGFL7/RhoA-Mediated Pathway. Developmental Cell. 25(2). 132–143. 61 indexed citations
12.
Weil, Brian R., Christian M. Westby, Owen J. MacEneaney, et al.. (2012). Effects of endothelin-1 on endothelial progenitor cell function. Clinical Chemistry and Laboratory Medicine (CCLM). 50(6). 1121–4. 4 indexed citations
13.
Weil, Brian R., et al.. (2011). CD31+ T Cells, Endothelial Function and Cardiovascular Risk. Heart Lung and Circulation. 20(10). 659–662. 15 indexed citations
14.
MacEneaney, Owen J., Christopher A. DeSouza, Brian R. Weil, et al.. (2010). Prehypertension and endothelial progenitor cell function. Journal of Human Hypertension. 25(1). 57–62. 26 indexed citations
15.
Kushner, Erich J., et al.. (2009). CD31+ T cells represent a functionally distinct vascular T cell phenotype. Blood Cells Molecules and Diseases. 44(2). 74–78. 29 indexed citations
16.
Stauffer, Brian L., et al.. (2008). Transcriptional Regulation of β2‐Microglobulin Demonstrated Via a Novel Genomic and Proteomic Analysis of Percutaneously Collected Peripheral Atheroma. Clinical and Translational Science. 1(3). 240–244. 2 indexed citations
17.
Kushner, Erich J., Gary P. Van Guilder, Owen J. MacEneaney, et al.. (2008). Aging and endothelial progenitor cell telomere length in healthy men. Clinical Chemistry and Laboratory Medicine (CCLM). 47(1). 47–50. 35 indexed citations
18.
Stauffer, Brian L., Owen J. MacEneaney, Erich J. Kushner, et al.. (2008). Gender and endothelial progenitor cell number in middle-aged adults. Artery Research. 2(4). 156–156. 12 indexed citations
19.
MacEneaney, Owen J., Erich J. Kushner, Gary P. Van Guilder, et al.. (2008). Endothelial progenitor cell number and colony-forming capacity in overweight and obese adults. International Journal of Obesity. 33(2). 219–225. 50 indexed citations
20.
Hunter, David J., J. Steven Morris, Christopher G. Chute, et al.. (1990). PREDICTORS OF SELENIUM CONCENTRATION IN HUMAN TOENAILS. American Journal of Epidemiology. 132(1). 114–122. 134 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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