Eric D. Spear

4.1k total citations
18 papers, 1.4k citations indexed

About

Eric D. Spear is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Eric D. Spear has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cell Biology and 5 papers in Epidemiology. Recurrent topics in Eric D. Spear's work include Endoplasmic Reticulum Stress and Disease (8 papers), Nuclear Structure and Function (7 papers) and Cellular transport and secretion (6 papers). Eric D. Spear is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (8 papers), Nuclear Structure and Function (7 papers) and Cellular transport and secretion (6 papers). Eric D. Spear collaborates with scholars based in United States, United Kingdom and Israel. Eric D. Spear's co-authors include Davis Ng, Chris A. Kaiser, Peter Walter, Woong Kim, Kanagalaghatta R. Rajashankar, Thomas Schwartz, William J. Belden, Shilpa Vashist, Stephen G. Brohawn and Charles Barlowe and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Eric D. Spear

18 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric D. Spear United States 13 1.0k 819 329 131 109 18 1.4k
Robert Gauss Germany 12 790 0.8× 667 0.8× 292 0.9× 144 1.1× 85 0.8× 13 1.1k
G Elif Karagöz Netherlands 12 994 1.0× 568 0.7× 214 0.7× 97 0.7× 95 0.9× 18 1.3k
Heli I. Alanen Finland 16 807 0.8× 769 0.9× 165 0.5× 226 1.7× 60 0.6× 22 1.3k
Nathan Bays United States 10 856 0.8× 823 1.0× 406 1.2× 77 0.6× 73 0.7× 15 1.3k
Kyohei Umebayashi Japan 11 607 0.6× 441 0.5× 282 0.9× 58 0.4× 67 0.6× 14 945
James R. Gaut United States 15 778 0.8× 664 0.8× 162 0.5× 223 1.7× 254 2.3× 18 1.1k
Anna Ferraro Italy 17 736 0.7× 450 0.5× 118 0.4× 149 1.1× 108 1.0× 43 1.2k
Sheara W. Fewell United States 12 722 0.7× 485 0.6× 177 0.5× 120 0.9× 48 0.4× 14 1.0k
Takehiko Yoko‐o Japan 20 806 0.8× 435 0.5× 189 0.6× 61 0.5× 161 1.5× 33 1.1k
Ombretta Foresti United Kingdom 19 1.3k 1.3× 1.1k 1.3× 263 0.8× 101 0.8× 113 1.0× 25 1.8k

Countries citing papers authored by Eric D. Spear

Since Specialization
Citations

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

Fields of papers citing papers by Eric D. Spear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric D. Spear. 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 Eric D. Spear. The network helps show where Eric D. Spear may publish in the future.

Co-authorship network of co-authors of Eric D. Spear

This figure shows the co-authorship network connecting the top 25 collaborators of Eric D. Spear. A scholar is included among the top collaborators of Eric D. Spear 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 Eric D. Spear. Eric D. Spear 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.
Shilagardi, Khurts, Takamitsu Maruyama, Wei Wu, et al.. (2022). Abolishing the prelamin A ZMPSTE24 cleavage site leads to progeroid phenotypes with near-normal longevity in mice. Proceedings of the National Academy of Sciences. 119(9). 12 indexed citations
2.
Wang, Wei, et al.. (2022). Analysis of a degron-containing reporter protein GFP-CL1 reveals a role for SUMO1 in cytosolic protein quality control. Journal of Biological Chemistry. 299(2). 102851–102851. 6 indexed citations
3.
Shilagardi, Khurts, Eric D. Spear, Rachy Abraham, Diane E. Griffin, & Susan Michaelis. (2022). The Integral Membrane Protein ZMPSTE24 Protects Cells from SARS-CoV-2 Spike-Mediated Pseudovirus Infection and Syncytia Formation. mBio. 13(5). e0254322–e0254322. 9 indexed citations
4.
Spear, Eric D., et al.. (2020). Defining substrate requirements for cleavage of farnesylated prelamin A by the integral membrane zinc metalloprotease ZMPSTE24. PLoS ONE. 15(12). e0239269–e0239269. 4 indexed citations
5.
Babatz, Timothy D., et al.. (2020). Site specificity determinants for prelamin A cleavage by the zinc metalloprotease ZMPSTE24. Journal of Biological Chemistry. 296. 100165–100165. 10 indexed citations
6.
Spear, Eric D., et al.. (2019). A humanized yeast system to analyze cleavage of prelamin A by ZMPSTE24. Methods. 157. 47–55. 8 indexed citations
7.
Spear, Eric D., et al.. (2018). ZMPSTE24 missense mutations that cause progeroid diseases decrease prelamin A cleavage activity and/or protein stability. Disease Models & Mechanisms. 11(7). 26 indexed citations
8.
Spear, Eric D., et al.. (2016). Degradation Signals for Ubiquitin-Proteasome Dependent Cytosolic Protein Quality Control (CytoQC) in Yeast. G3 Genes Genomes Genetics. 6(7). 1853–1866. 46 indexed citations
9.
Spear, Eric D. & Chris A. Kaiser. (2013). Mapping the Cellular Response to Small Molecules Using Chemogenomic Fitness Signatures. DSpace@MIT (Massachusetts Institute of Technology). 177 indexed citations
10.
Bar‐Peled, Liron, Lynne Chantranupong, Andrew D. Cherniack, et al.. (2013). A tumor suppressor complex with GAP activity for the Rag GTPases that signal amino acid sufficiency to mTORC1. The FASEB Journal. 27(S1). 55 indexed citations
11.
Kogan, Konstantin, Eric D. Spear, Chris A. Kaiser, & Deborah Fass. (2010). Structural Conservation of Components in the Amino Acid Sensing Branch of the TOR Pathway in Yeast and Mammals. Journal of Molecular Biology. 402(2). 388–398. 46 indexed citations
12.
Brohawn, Stephen G., Nina C. Leksa, Eric D. Spear, Kanagalaghatta R. Rajashankar, & Thomas Schwartz. (2008). Structural Evidence for Common Ancestry of the Nuclear Pore Complex and Vesicle Coats. Science. 322(5906). 1369–1373. 170 indexed citations
13.
Spear, Eric D. & Davis Ng. (2005). Single, context-specific glycans can target misfolded glycoproteins for ER-associated degradation. The Journal of Cell Biology. 169(1). 73–82. 90 indexed citations
14.
Kim, Woong, Eric D. Spear, & Davis Ng. (2005). Yos9p Detects and Targets Misfolded Glycoproteins for ER-Associated Degradation. Molecular Cell. 19(6). 753–764. 149 indexed citations
15.
Spear, Eric D. & Davis Ng. (2003). Stress Tolerance of Misfolded Carboxypeptidase Y Requires Maintenance of Protein Trafficking and Degradative Pathways. Molecular Biology of the Cell. 14(7). 2756–2767. 101 indexed citations
16.
Spear, Eric D. & Davis Ng. (2001). The Unfolded Protein Response: No Longer Just a Special Teams Player. Traffic. 2(8). 515–523. 46 indexed citations
17.
Vashist, Shilpa, Woong Kim, William J. Belden, et al.. (2001). Distinct retrieval and retention mechanisms are required for the quality control of endoplasmic reticulum protein folding. The Journal of Cell Biology. 155(3). 355–368. 205 indexed citations
18.
Ng, Davis, Eric D. Spear, & Peter Walter. (2000). The Unfolded Protein Response Regulates Multiple Aspects of Secretory and Membrane Protein Biogenesis and Endoplasmic Reticulum Quality Control. The Journal of Cell Biology. 150(1). 77–88. 270 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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