Sarah E. Craven

3.9k total citations · 1 hit paper
15 papers, 3.3k citations indexed

About

Sarah E. Craven is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sarah E. Craven has authored 15 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Sarah E. Craven's work include Neuroscience and Neuropharmacology Research (8 papers), Cellular transport and secretion (4 papers) and Photoreceptor and optogenetics research (3 papers). Sarah E. Craven is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Cellular transport and secretion (4 papers) and Photoreceptor and optogenetics research (3 papers). Sarah E. Craven collaborates with scholars based in United States, Canada and Austria. Sarah E. Craven's co-authors include David S. Bredt, Aaron W. McGee, Daniel R. Santillano, Stanley C. Froehner, Stephen Gee, Daniel S. Chao, Matthew F. Peters, Jay E. Brenman, Houhui Xia and Ziqiang Wu and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

Sarah E. Craven

15 papers receiving 3.3k citations

Hit Papers

Interaction of Nitric Oxide Synthase with the Postsynapti... 1996 2026 2006 2016 1996 400 800 1.2k
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. Interaction of Nitric Oxide Synthase with the Postsynaptic Density Protein PSD-95 and α1-Syntrophin Mediated by PDZ Domains
    1996 1.4k citations Jay E. Brenman, Daniel S. Chao et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah E. Craven United States 14 2.3k 1.7k 853 792 281 15 3.3k
Zu-Hang Sheng United States 26 2.5k 1.1× 1.7k 1.0× 1.3k 1.6× 571 0.7× 155 0.6× 30 3.7k
Daniel S. Chao United States 12 2.2k 1.0× 831 0.5× 808 0.9× 1.4k 1.8× 451 1.6× 13 3.2k
Anton Maximov United States 31 3.2k 1.4× 2.0k 1.2× 1.8k 2.1× 581 0.7× 126 0.4× 41 4.3k
Herman Moreno United States 26 2.0k 0.9× 1.6k 1.0× 401 0.5× 653 0.8× 325 1.2× 44 3.5k
Hans‐Christian Kornau Germany 16 2.2k 1.0× 2.2k 1.3× 580 0.7× 311 0.4× 101 0.4× 22 3.4k
Georg Zoidl Germany 37 2.3k 1.0× 1.2k 0.7× 270 0.3× 486 0.6× 143 0.5× 110 3.2k
Michael Wyszynski United States 20 2.1k 0.9× 2.1k 1.2× 766 0.9× 225 0.3× 104 0.4× 27 3.1k
Yoko Sekine‐Aizawa Japan 10 1.1k 0.5× 950 0.6× 658 0.8× 809 1.0× 69 0.2× 11 2.3k
Martin Niethammer United States 21 1.8k 0.8× 1.9k 1.1× 844 1.0× 280 0.4× 174 0.6× 37 3.7k
Aaron W. McGee United States 23 2.3k 1.0× 2.4k 1.4× 792 0.9× 779 1.0× 295 1.0× 36 4.3k

Countries citing papers authored by Sarah E. Craven

Since Specialization
Citations

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

Fields of papers citing papers by Sarah E. Craven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah E. Craven. 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 Sarah E. Craven. The network helps show where Sarah E. Craven may publish in the future.

Co-authorship network of co-authors of Sarah E. Craven

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

All Works

15 of 15 papers shown
1.
Craven, Sarah E., et al.. (2009). Injunctions Enjoined: Remedies Restructured. Santa Clara computer and high-technology law journal. 25(4). 787. 1 indexed citations
2.
Craven, Sarah E., Dorothy French, Weilan Ye, Frédéric J. de Sauvage, & Arnon Rosenthal. (2005). Loss of Hspa9b in zebrafish recapitulates the ineffective hematopoiesis of the myelodysplastic syndrome. Blood. 105(9). 3528–3534. 84 indexed citations
3.
Bouchard, Maxime, David Grote, Sarah E. Craven, et al.. (2005). Identification of Pax2-regulated genes by expression profiling of the mid-hindbrain organizer region. Development. 132(11). 2633–2643. 59 indexed citations
4.
Craven, Sarah E., Kim‐Chew Lim, Weilan Ye, et al.. (2004). Gata2 specifies serotonergic neurons downstream of sonic hedgehog. Development. 131(5). 1165–1173. 122 indexed citations
5.
Christopherson, Karen S., Neal Sweeney, Sarah E. Craven, et al.. (2003). Lipid- and protein-mediated multimerization of PSD-95: implications for receptor clustering and assembly of synaptic protein networks. Journal of Cell Science. 116(15). 3213–3219. 58 indexed citations
6.
El-Husseini, Alaa, et al.. (2001). Polarized Targeting of Peripheral Membrane Proteins in Neurons. Journal of Biological Chemistry. 276(48). 44984–44992. 66 indexed citations
7.
Craven, Sarah E. & David S. Bredt. (2000). Synaptic Targeting of the Postsynaptic Density Protein PSD-95 Mediated by a Tyrosine-based Trafficking Signal. Journal of Biological Chemistry. 275(26). 20045–20051. 29 indexed citations
8.
El‐Husseini, Alaa, J. Rick Topinka, Joshua Lehrer‐Graiwer, et al.. (2000). Ion Channel Clustering by Membrane-associated Guanylate Kinases. Journal of Biological Chemistry. 275(31). 23904–23910. 79 indexed citations
9.
Firestein, Bonnie L., Sarah E. Craven, & David S. Bredt. (2000). Postsynaptic targeting of MAGUKs mediated by distinct N-terminal domains. Neuroreport. 11(16). 3479–3484. 26 indexed citations
10.
El-Husseini, Alaa, Sarah E. Craven, Dane M. Chetkovich, et al.. (2000). Dual Palmitoylation of Psd-95 Mediates Its Vesiculotubular Sorting, Postsynaptic Targeting, and Ion Channel Clustering. The Journal of Cell Biology. 148(1). 159–172. 227 indexed citations
11.
Craven, Sarah E., Alaa El‐Husseini, & David S. Bredt. (1999). Synaptic Targeting of the Postsynaptic Density Protein PSD-95 Mediated by Lipid and Protein Motifs. Neuron. 22(3). 497–509. 291 indexed citations
12.
Craven, Sarah E. & David S. Bredt. (1998). PDZ Proteins Organize Synaptic Signaling Pathways. Cell. 93(4). 495–498. 423 indexed citations
13.
Koulen, Peter, Erica L. Fletcher, Sarah E. Craven, David S. Bredt, & Heinz Wässle. (1998). Immunocytochemical Localization of the Postsynaptic Density Protein PSD-95 in the Mammalian Retina. Journal of Neuroscience. 18(23). 10136–10149. 201 indexed citations
14.
Brenman, Jay E., Daniel S. Chao, Stephen Gee, et al.. (1996). Interaction of Nitric Oxide Synthase with the Postsynaptic Density Protein PSD-95 and α1-Syntrophin Mediated by PDZ Domains. Cell. 84(5). 757–767. 1376 indexed citations breakdown →
15.
Christopherson, Karen S., et al.. (1996). Cloning and Characterization of Postsynaptic Density 93, a Nitric Oxide Synthase Interacting Protein. Journal of Neuroscience. 16(23). 7407–7415. 275 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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