Jamie Snider

5.7k total citations
47 papers, 2.5k citations indexed

About

Jamie Snider is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Jamie Snider has authored 47 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Cell Biology and 7 papers in Genetics. Recurrent topics in Jamie Snider's work include Fungal and yeast genetics research (13 papers), Bioinformatics and Genomic Networks (9 papers) and Biotin and Related Studies (6 papers). Jamie Snider is often cited by papers focused on Fungal and yeast genetics research (13 papers), Bioinformatics and Genomic Networks (9 papers) and Biotin and Related Studies (6 papers). Jamie Snider collaborates with scholars based in Canada, United States and Croatia. Jamie Snider's co-authors include Walid A. Houry, Igor Štagljar, Ronald Paul Hill, Diane Martin, Guillaume Thibault, Punit Saraon, Victoria Wong, Igor Jurišica, Max Kotlyar and Barbara A. Moffatt and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The EMBO Journal.

In The Last Decade

Jamie Snider

47 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
Jamie Snider 1.5k 383 335 307 205 47 2.5k
Colin Wheeler 1.1k 0.7× 218 0.6× 561 1.7× 128 0.4× 334 1.6× 85 3.4k
S.A. Johnson 1.1k 0.8× 744 1.9× 81 0.2× 374 1.2× 139 0.7× 76 2.6k
Liya Wang 1.7k 1.2× 258 0.7× 44 0.1× 140 0.5× 207 1.0× 111 2.8k
Mark C. Hall 2.0k 1.4× 349 0.9× 45 0.1× 433 1.4× 266 1.3× 84 2.8k
Paul V. Murphy 2.1k 1.4× 135 0.4× 135 0.4× 134 0.4× 65 0.3× 200 3.5k
Jingjing Li 1.9k 1.3× 205 0.5× 121 0.4× 142 0.5× 303 1.5× 171 3.5k
José Luís Barbero 2.8k 1.9× 629 1.6× 318 0.9× 930 3.0× 644 3.1× 88 4.5k
Mark R. Bleackley 1.5k 1.0× 549 1.4× 146 0.4× 131 0.4× 127 0.6× 46 2.6k
Bong‐Hyun Kim 1.3k 0.9× 105 0.3× 45 0.1× 112 0.4× 115 0.6× 57 2.2k
Ashish Arora 1.3k 0.9× 79 0.2× 528 1.6× 85 0.3× 233 1.1× 105 3.7k

Countries citing papers authored by Jamie Snider

Since Specialization
Citations

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

Fields of papers citing papers by Jamie Snider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie Snider

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie Snider. A scholar is included among the top collaborators of Jamie Snider 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 Jamie Snider. Jamie Snider 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.
Burns, Andrew R., Emily Puumala, Jamie Snider, et al.. (2024). Cyprocide selectively kills nematodes via cytochrome P450 bioactivation. Nature Communications. 15(1). 5529–5529. 6 indexed citations
2.
3.
Yao, Zhong, Edyta Marcon, Shuye Pu, et al.. (2023). Omicron Spike Protein is Vulnerable to Reduction. Journal of Molecular Biology. 435(13). 168128–168128. 3 indexed citations
4.
Yao, Zhong, Paula P. Coelho, Jamie Snider, et al.. (2022). B cell linker protein (BLNK) is a regulator of Met receptor signaling and trafficking in non-small cell lung cancer. iScience. 25(11). 105419–105419. 5 indexed citations
5.
Yao, Zhong, Jason R. Kroll, Jamie Snider, et al.. (2020). Split Intein-Mediated Protein Ligation for detecting protein-protein interactions and their inhibition. Nature Communications. 11(1). 2440–2440. 35 indexed citations
6.
Gebbia, Marinella, Atina G. Coté, Jamie Snider, et al.. (2019). Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network. Cell Systems. 10(1). 25–38.e10. 14 indexed citations
7.
Rizzolo, Kamran, Ashwani Kumar, Yoshito Kakihara, et al.. (2018). Systems analysis of the genetic interaction network of yeast molecular chaperones. Molecular Omics. 14(2). 82–94. 13 indexed citations
8.
Lim, Sang Hyun, et al.. (2018). Recent Progress in CFTR Interactome Mapping and Its Importance for Cystic Fibrosis. Frontiers in Pharmacology. 8. 997–997. 23 indexed citations
9.
Rizzolo, Kamran, Jennifer Huen, Ashwani Kumar, et al.. (2017). Features of the Chaperone Cellular Network Revealed through Systematic Interaction Mapping. Cell Reports. 20(11). 2735–2748. 44 indexed citations
10.
Snider, Jamie & Igor Štagljar. (2016). Generation and Validation of MYTH Baits: iMYTH and tMYTH Variants. Cold Spring Harbor Protocols. 2016(1). pdb.prot087817–pdb.prot087817. 3 indexed citations
11.
Bean, Björn D. M., Michael Davey, Jamie Snider, et al.. (2015). Rab5-family guanine nucleotide exchange factors bind retromer and promote its recruitment to endosomes. Molecular Biology of the Cell. 26(6). 1119–1128. 29 indexed citations
12.
Lam, Mandy Hiu Yi, Jamie Snider, Victoria Wong, et al.. (2015). A Comprehensive Membrane Interactome Mapping of Sho1p Reveals Fps1p as a Novel Key Player in the Regulation of the HOG Pathway in S. cerevisiae. Journal of Molecular Biology. 427(11). 2088–2103. 12 indexed citations
13.
Petschnigg, Julia, Bella Groisman, Max Kotlyar, et al.. (2014). The mammalian-membrane two-hybrid assay (MaMTH) for probing membrane-protein interactions in human cells. Nature Methods. 11(5). 585–592. 115 indexed citations
14.
Snider, Jamie, et al.. (2010). Detecting interactions with membrane proteins using a membrane two-hybrid assay in yeast. Nature Protocols. 5(7). 1281–1293. 104 indexed citations
15.
Paumi, Christian M., et al.. (2009). ABC Transporters in Saccharomyces cerevisiae and Their Interactors: New Technology Advances the Biology of the ABCC (MRP) Subfamily. Microbiology and Molecular Biology Reviews. 73(4). 577–593. 143 indexed citations
16.
Snider, Jamie, Guillaume Thibault, & Walid A. Houry. (2008). The AAA+ superfamily of functionally diverse proteins. Genome Biology. 9(4). 216–216. 208 indexed citations
17.
Kanjee, Usheer, et al.. (2008). Crystallization and preliminary X-ray analysis of the inducible lysine decarboxylase fromEscherichia coli. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 64(8). 700–706. 10 indexed citations
18.
Snider, Jamie, Irina Gutsche, Michelle I. Lin, et al.. (2005). Formation of a Distinctive Complex between the Inducible Bacterial Lysine Decarboxylase and a Novel AAA+ ATPase. Journal of Biological Chemistry. 281(3). 1532–1546. 52 indexed citations
19.
Sano, Hideki, et al.. (2001). Identification of PEX5p-related novel peroxisome-targeting signal 1 (PTS1)-binding proteins in mammals. Biochemical Journal. 357(3). 635–635. 34 indexed citations
20.
Wang, Qingping, John Scheigetz, Michael J. Gilbert, Jamie Snider, & Chidambaram Ramachandran. (1999). Fluorescein monophosphates as fluorogenic substrates for protein tyrosine phosphatases. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1431(1). 14–23. 23 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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