Christopher D. Hazuka

1.9k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Christopher D. Hazuka is a scholar working on Cell Biology, Molecular Biology and Surgery. According to data from OpenAlex, Christopher D. Hazuka has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cell Biology, 5 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Christopher D. Hazuka's work include Cellular transport and secretion (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Fungal and yeast genetics research (3 papers). Christopher D. Hazuka is often cited by papers focused on Cellular transport and secretion (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Fungal and yeast genetics research (3 papers). Christopher D. Hazuka collaborates with scholars based in United States. Christopher D. Hazuka's co-authors include Richard H. Scheller, Karen E. Peterson, Davide Foletti, Shu-Chan Hsu, Yun Kee, Lisa A. Elferink, Mark K. Bennett, Anne M. Fleming, Shu-Chan Hsu and Richard H. Scheller and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Christopher D. Hazuka

8 papers receiving 1.6k citations

Hit Papers

The syntaxin family of vesicular transport receptors 1993 2026 2004 2015 1993 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The syntaxin family of vesicular transport receptors
    1993 582 citations Mark K. Bennett, Lisa A. Elferink et al. Cell profile →

Peers

Christopher D. Hazuka
Shu-Chan Hsu United States
Shu-Chan Hsu United States
Thomas H. Söllner United States
Thomas Wassmer United Kingdom
F Blondeau Canada
Jan Modregger Germany
David M. Cowan United States
Arne Nystuen United States
Bianka L. Grosshans United States
Shona L. Osborne Australia
Shu-Chan Hsu United States
Christopher D. Hazuka
Citations per year, relative to Christopher D. Hazuka Christopher D. Hazuka (= 1×) peers Shu-Chan Hsu

Countries citing papers authored by Christopher D. Hazuka

Since Specialization
Citations

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

Fields of papers citing papers by Christopher D. Hazuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher D. Hazuka

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. Hazuka. A scholar is included among the top collaborators of Christopher D. Hazuka 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 Christopher D. Hazuka. Christopher D. Hazuka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Hsu, Shu-Chan, Christopher D. Hazuka, Davide Foletti, & Richard H. Scheller. (1999). Targeting vesicles to specific sites on the plasma membrane: the role of the sec6/8 complex. Trends in Cell Biology. 9(4). 150–153. 132 indexed citations
2.
Hazuka, Christopher D., Davide Foletti, Shu-Chan Hsu, et al.. (1999). The sec6/8 Complex Is Located at Neurite Outgrowth and Axonal Synapse-Assembly Domains. Journal of Neuroscience. 19(4). 1324–1334. 166 indexed citations
3.
Hsu, Shu-Chan, et al.. (1998). Subunit Composition, Protein Interactions, and Structures of the Mammalian Brain sec6/8 Complex and Septin Filaments. Neuron. 20(6). 1111–1122. 287 indexed citations
4.
Hazuka, Christopher D., Shu-Chan Hsu, & Richard H. Scheller. (1997). Characterization of a cDNA encoding a subunit of the rat brain rsec6/8 complex. Gene. 187(1). 67–73. 18 indexed citations
5.
Kee, Yun, et al.. (1997). Subunit structure of the mammalian exocyst complex. Proceedings of the National Academy of Sciences. 94(26). 14438–14443. 160 indexed citations
6.
Hsu, Shu-Chan, Anthony E. Ting, Christopher D. Hazuka, et al.. (1996). The Mammalian Brain rsec6/8 Complex. Neuron. 17(6). 1209–1219. 232 indexed citations
7.
Ting, Anthony E., et al.. (1995). rSec6 and rSec8, mammalian homologs of yeast proteins essential for secretion.. Proceedings of the National Academy of Sciences. 92(21). 9613–9617. 62 indexed citations
8.
Bennett, Mark K., Lisa A. Elferink, Karen E. Peterson, et al.. (1993). The syntaxin family of vesicular transport receptors. Cell. 74(5). 863–873. 582 indexed citations breakdown →

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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