Jason Ear

1.3k total citations
28 papers, 972 citations indexed

About

Jason Ear is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Jason Ear has authored 28 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Oncology. Recurrent topics in Jason Ear's work include Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer-related gene regulation (7 papers) and RNA modifications and cancer (6 papers). Jason Ear is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer-related gene regulation (7 papers) and RNA modifications and cancer (6 papers). Jason Ear collaborates with scholars based in United States, Spain and Germany. Jason Ear's co-authors include Pradipta Ghosh, Mikel Garcia‐Marcos, Marilyn G. Farquhar, John M. Carethers, Barbara Jung, Betty L. Cabrera, Shuo Lin, Irina Kufareva, Nicolas Aznar and Ruben Abagyan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Jason Ear

28 papers receiving 971 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Ear United States 16 684 219 121 108 78 28 972
Xianlong Gao United States 18 731 1.1× 158 0.7× 156 1.3× 52 0.5× 45 0.6× 53 1.0k
Dalit Hecht Israel 9 780 1.1× 399 1.8× 103 0.9× 173 1.6× 55 0.7× 9 1.2k
Dorde Komljenovic Germany 15 428 0.6× 99 0.5× 129 1.1× 51 0.5× 15 0.2× 31 849
María‐Luisa Nueda Spain 15 617 0.9× 81 0.4× 81 0.7× 35 0.3× 41 0.5× 21 966
Marie-Annick Forget Canada 9 544 0.8× 298 1.4× 159 1.3× 90 0.8× 16 0.2× 11 815
Jincai Luo China 17 810 1.2× 161 0.7× 248 2.0× 98 0.9× 15 0.2× 34 1.3k
Paulo Matos Portugal 25 970 1.4× 200 0.9× 295 2.4× 47 0.4× 37 0.5× 69 1.6k
Xianghu Qu United States 15 916 1.3× 104 0.5× 173 1.4× 45 0.4× 12 0.2× 26 1.2k
D. Raulais France 22 780 1.1× 367 1.7× 114 0.9× 149 1.4× 20 0.3× 47 1.2k
Gábor Sirokmány Hungary 14 538 0.8× 186 0.8× 87 0.7× 80 0.7× 9 0.1× 17 867

Countries citing papers authored by Jason Ear

Since Specialization
Citations

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

Fields of papers citing papers by Jason Ear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Ear

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Ear. A scholar is included among the top collaborators of Jason Ear 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 Jason Ear. Jason Ear 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.
2.
El‐Hafeez, Amer Ali Abd, Nina Sun, Anirban Chakraborty, et al.. (2023). Regulation of DNA damage response by trimeric G-proteins. iScience. 26(2). 105973–105973. 6 indexed citations
3.
Sharma, Aditi, Alexander Moshensky, Ibrahim M. Sayed, et al.. (2021). E-cigarettes compromise the gut barrier and trigger inflammation. iScience. 24(2). 102035–102035. 48 indexed citations
4.
Ear, Jason, Amer Ali Abd El‐Hafeez, Suchismita Roy, et al.. (2021). A long isoform of GIV/Girdin contains a PDZ-binding module that regulates localization and G-protein binding. Journal of Biological Chemistry. 296. 100493–100493. 4 indexed citations
5.
Marivin, Arthur, Marcin Maziarz, Jingyi Zhao, et al.. (2020). DAPLE protein inhibits nucleotide exchange on Gαs and Gαq via the same motif that activates Gαi. Journal of Biological Chemistry. 295(8). 2270–2284. 12 indexed citations
6.
Ear, Jason, et al.. (2020). Tyrosine-Based Signals Regulate the Assembly of Daple⋅PARD3 Complex at Cell-Cell Junctions. iScience. 23(2). 100859–100859. 8 indexed citations
7.
Ear, Jason, Ying Dunkel, Yash Mittal, et al.. (2019). Two Isoforms of the Guanine Nucleotide Exchange Factor, Daple/CCDC88C Cooperate as Tumor Suppressors. Scientific Reports. 9(1). 12124–12124. 7 indexed citations
8.
Dunkel, Ying, Anna Reid, Jason Ear, et al.. (2018). Prognostic Relevance of CCDC88C (Daple) Transcripts in the Peripheral Blood of Patients with Cutaneous Melanoma. Scientific Reports. 8(1). 18036–18036. 6 indexed citations
9.
Ear, Jason & Shuo Lin. (2017). RNA methylation regulates hematopoietic stem and progenitor cell development. Journal of genetics and genomics. 44(10). 473–474. 8 indexed citations
10.
Ear, Jason, Qinghua Zhang, Victoria Sung, et al.. (2016). A Zebrafish Model of 5q-Syndrome Using CRISPR/Cas9 Targeting RPS14 Reveals a p53-Independent and p53-Dependent Mechanism of Erythroid Failure. Journal of genetics and genomics. 43(5). 307–318. 28 indexed citations
11.
Lin, Chang‐Shen, Jason Ear, Krishna Midde, et al.. (2014). Structural basis for activation of trimeric Gi proteins by multiple growth factor receptors via GIV/Girdin. Molecular Biology of the Cell. 25(22). 3654–3671. 47 indexed citations
12.
Zhang, Yuanyuan, et al.. (2014). Defects of protein production in erythroid cells revealed in a zebrafish Diamond–Blackfan anemia model for mutation in RPS19. Cell Death and Disease. 5(7). e1352–e1352. 41 indexed citations
13.
14.
Ear, Jason, Haigen Huang, Victoria Sung, et al.. (2013). RAP-011 Efficiently Rescues Erythropoiesis In Zebrafish Models Of Diamond Blackfan Anemia. Blood. 122(21). 3702–3702. 1 indexed citations
15.
Lin, Sijie, Yan Zhao, Zhaoxia Ji, et al.. (2012). Zebrafish High‐Throughput Screening to Study the Impact of Dissolvable Metal Oxide Nanoparticles on the Hatching Enzyme, ZHE1. Small. 9(9-10). 1776–1785. 114 indexed citations
16.
Stafford, Ryan, Jason Ear, Mary Jane Knight, & James U. Bowie. (2011). The Molecular Basis of the Caskin1 and Mint1 Interaction with CASK. Journal of Molecular Biology. 412(1). 3–13. 33 indexed citations
17.
Stafford, Ryan, Elizabeth Hinde, Mary Jane Knight, et al.. (2011). Tandem SAM Domain Structure of Human Caskin1: A Presynaptic, Self-Assembling Scaffold for CASK. Structure. 19(12). 1826–1836. 28 indexed citations
18.
Garcia‐Marcos, Mikel, Jason Ear, Marilyn G. Farquhar, & Pradipta Ghosh. (2011). A GDI (AGS3) and a GEF (GIV) regulate autophagy by balancing G protein activity and growth factor signals. Molecular Biology of the Cell. 22(5). 673–686. 84 indexed citations
19.
Garcia‐Marcos, Mikel, Pradipta Ghosh, Jason Ear, & Marilyn G. Farquhar. (2010). A Structural Determinant That Renders Gαi Sensitive to Activation by GIV/Girdin Is Required to Promote Cell Migration. Journal of Biological Chemistry. 285(17). 12765–12777. 70 indexed citations
20.
Ghosh, Pradipta, Scott J. Bornheimer, Mikel Garcia‐Marcos, et al.. (2010). A Gαi–GIV Molecular Complex Binds Epidermal Growth Factor Receptor and Determines Whether Cells Migrate or Proliferate. Molecular Biology of the Cell. 21(13). 2338–2354. 124 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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