Jesse Hay

4.3k total citations
44 papers, 3.6k citations indexed

About

Jesse Hay is a scholar working on Cell Biology, Molecular Biology and Surgery. According to data from OpenAlex, Jesse Hay has authored 44 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Cell Biology, 26 papers in Molecular Biology and 12 papers in Surgery. Recurrent topics in Jesse Hay's work include Cellular transport and secretion (38 papers), Endoplasmic Reticulum Stress and Disease (20 papers) and Lipid Membrane Structure and Behavior (16 papers). Jesse Hay is often cited by papers focused on Cellular transport and secretion (38 papers), Endoplasmic Reticulum Stress and Disease (20 papers) and Lipid Membrane Structure and Behavior (16 papers). Jesse Hay collaborates with scholars based in United States, Austria and Netherlands. Jesse Hay's co-authors include Thomas F.J. Martin, Richard H. Scheller, Dalu Xu, Christin S. Kuo, Tadaomi Takenawa, Richard A. Anderson, Kiyoko Fukami, Susan Ferro‐Novick, Daniel S. Chao and Marvin Bentley and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Jesse Hay

43 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse Hay United States 29 2.6k 2.4k 551 451 429 44 3.6k
Gabriele Fischer von Mollard Germany 31 2.7k 1.0× 2.6k 1.1× 506 0.9× 342 0.8× 265 0.6× 61 3.8k
Nobuhiro Nakamura Japan 32 2.2k 0.8× 2.3k 1.0× 365 0.7× 288 0.6× 372 0.9× 61 3.7k
Hye‐Won Shin Japan 40 2.1k 0.8× 2.6k 1.1× 508 0.9× 408 0.9× 337 0.8× 95 4.0k
Ahmed Zahraoui France 29 2.3k 0.9× 2.5k 1.0× 538 1.0× 211 0.5× 390 0.9× 51 3.6k
Katsuko Tani Japan 29 1.9k 0.7× 2.0k 0.8× 367 0.7× 213 0.5× 225 0.5× 48 3.0k
Dmytro Puchkov Germany 29 1.7k 0.6× 2.0k 0.8× 425 0.8× 268 0.6× 168 0.4× 59 3.1k
Yasunori Saheki Singapore 21 1.4k 0.5× 2.0k 0.8× 246 0.4× 204 0.5× 265 0.6× 31 2.9k
Dennis Shields United States 32 1.5k 0.6× 2.3k 1.0× 498 0.9× 205 0.5× 507 1.2× 77 3.4k
Bruce Horazdovsky United States 28 2.0k 0.7× 2.9k 1.2× 338 0.6× 234 0.5× 123 0.3× 35 3.7k
Gerald Hammond United States 29 1.8k 0.7× 2.2k 0.9× 412 0.7× 401 0.9× 281 0.7× 72 3.2k

Countries citing papers authored by Jesse Hay

Since Specialization
Citations

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

Fields of papers citing papers by Jesse Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesse Hay

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Hay. A scholar is included among the top collaborators of Jesse Hay 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 Jesse Hay. Jesse Hay 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.
Hay, Jesse, et al.. (2022). Genetically encoded fluorescent tools: Shining a little light on ER-to-Golgi transport. Free Radical Biology and Medicine. 183. 14–24. 1 indexed citations
3.
Chen, Shuliang, Christina R. Liem, Eric R. Griffis, et al.. (2021). Endoplasmic reticulum tubules limit the size of misfolded protein condensates. eLife. 10. 40 indexed citations
4.
Madreiter‐Sokolowski, Corina T., David E. Gordon, Andrew A. Peden, et al.. (2021). ALG-2 and peflin regulate COPII targeting and secretion in response to calcium signaling. Journal of Biological Chemistry. 297(6). 101393–101393. 10 indexed citations
5.
Klec, Christiane, Corina T. Madreiter‐Sokolowski, Sarah Stryeck, et al.. (2019). Glycogen Synthase Kinase 3 Beta Controls Presenilin-1-Mediated Endoplasmic Reticulum Ca2+ Leak Directed to Mitochondria in Pancreatic Islets and beta-Cells. Cellular Physiology and Biochemistry. 52(1). 57–75. 24 indexed citations
6.
Wang, Ting & Jesse Hay. (2015). Alpha-synuclein Toxicity in the Early Secretory Pathway: How It Drives Neurodegeneration in Parkinsons Disease. Frontiers in Neuroscience. 9. 433–433. 62 indexed citations
7.
Wang, Ting, Robert Grabski, Elizabeth Sztul, & Jesse Hay. (2014). p115 –SNARE Interactions: A Dynamic Cycle of p115 Binding Monomeric SNARE Motifs and Releasing Assembled Bundles. Traffic. 16(2). 148–171. 18 indexed citations
8.
Bentley, Marvin, et al.. (2014). Apoptosis-linked Gene-2 (ALG-2)/Sec31 Interactions Regulate Endoplasmic Reticulum (ER)-to-Golgi Transport. Journal of Biological Chemistry. 289(34). 23609–23628. 38 indexed citations
9.
Lord, Christopher L., Deepali Bhandari, Shekar Menon, et al.. (2011). Sequential interactions with Sec23 control the direction of vesicle traffic. Nature. 473(7346). 181–186. 145 indexed citations
10.
Bentley, Marvin, et al.. (2010). α-Synuclein Delays Endoplasmic Reticulum (ER)-to-Golgi Transport in Mammalian Cells by Antagonizing ER/Golgi SNAREs. Molecular Biology of the Cell. 21(11). 1850–1863. 181 indexed citations
11.
Trahey, Meg & Jesse Hay. (2010). Transport vesicle uncoating: it's later than you think. F1000 Biology Reports. 2. 47–47. 21 indexed citations
12.
Honda, Akira, et al.. (2005). Targeting of Arf-1 to the early Golgi by membrin, an ER-Golgi SNARE. The Journal of Cell Biology. 168(7). 1039–1051. 70 indexed citations
13.
Hay, Jesse, et al.. (2005). Evidence for regulation of ER/Golgi SNARE complex formation by hsc70 chaperones. European Journal of Cell Biology. 84(5). 529–542. 18 indexed citations
14.
Xu, Dalu & Jesse Hay. (2004). Reconstitution of COPII vesicle fusion to generate a pre-Golgi intermediate compartment. The Journal of Cell Biology. 167(6). 997–1003. 80 indexed citations
15.
Xu, Dalu, et al.. (2003). The SNARE Motif Contributes to rbet1 Intracellular Targeting and Dynamics Independently of SNARE Interactions. Journal of Biological Chemistry. 278(16). 14121–14133. 25 indexed citations
16.
Hasegawa, Haruki, et al.. (2003). Mammalian Ykt6 Is a Neuronal SNARE Targeted to a Specialized Compartment by its Profilin-like Amino Terminal Domain. Molecular Biology of the Cell. 14(2). 698–720. 68 indexed citations
17.
Hay, Jesse. (2001). SNARE Complex Structure and Function. Experimental Cell Research. 271(1). 10–21. 77 indexed citations
18.
Hay, Jesse, Daniel S. Chao, Christin S. Kuo, & Richard H. Scheller. (1997). Protein Interactions Regulating Vesicle Transport between the Endoplasmic Reticulum and Golgi Apparatus in Mammalian Cells. Cell. 89(1). 149–158. 187 indexed citations
19.
Hay, Jesse, Harald Hirling, & Richard H. Scheller. (1996). Mammalian Vesicle Trafficking Proteins of the Endoplasmic Reticulum and Golgi Apparatus. Journal of Biological Chemistry. 271(10). 5671–5679. 80 indexed citations
20.
Hay, Jesse & Thomas F.J. Martin. (1993). Phosphatidylinositol transfer protein required for ATP-dependent priming of Ca2+-activated secretion. Nature. 366(6455). 572–575. 305 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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