Frederick Dobie

1.9k total citations
10 papers, 1.5k citations indexed

About

Frederick Dobie is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Frederick Dobie has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Infectious Diseases. Recurrent topics in Frederick Dobie's work include Neuroscience and Neuropharmacology Research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cellular transport and secretion (3 papers). Frederick Dobie is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Cellular transport and secretion (3 papers). Frederick Dobie collaborates with scholars based in Canada, United States and Germany. Frederick Dobie's co-authors include Ann Marie Craig, Fang Cai, Eric Huang, Guiqiong He, Weihong Song, Weihui Zhou, Matthias Staufenbiel, Hong Qing, Xiulian Sun and Stephen M. Strittmatter and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Frederick Dobie

10 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frederick Dobie Canada 10 634 491 344 287 219 10 1.5k
Guilherme Neves United Kingdom 15 951 1.5× 1.2k 2.5× 179 0.5× 178 0.6× 345 1.6× 25 2.2k
Ana C. Magalhães Brazil 18 1.1k 1.8× 352 0.7× 244 0.7× 61 0.2× 128 0.6× 28 1.5k
Anthony Simone United States 6 944 1.5× 339 0.7× 161 0.5× 87 0.3× 73 0.3× 9 1.4k
Attila Szebeni United States 20 1.3k 2.1× 233 0.5× 194 0.6× 52 0.2× 100 0.5× 24 2.0k
Edna Ben‐Asher Israel 27 1.5k 2.4× 358 0.7× 192 0.6× 55 0.2× 212 1.0× 46 2.8k
Daniel Rohrer United States 18 1.2k 1.9× 619 1.3× 374 1.1× 43 0.1× 77 0.4× 27 1.9k
Joëlle Chabry France 31 1.9k 3.0× 890 1.8× 451 1.3× 43 0.1× 125 0.6× 50 2.7k
Silvia Zucchini Italy 29 1.2k 1.9× 1.3k 2.6× 340 1.0× 41 0.1× 52 0.2× 65 2.4k
Gong Cheng China 19 485 0.8× 596 1.2× 485 1.4× 35 0.1× 66 0.3× 49 1.6k
Hélène Boudin France 23 977 1.5× 946 1.9× 179 0.5× 29 0.1× 147 0.7× 45 1.9k

Countries citing papers authored by Frederick Dobie

Since Specialization
Citations

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

Fields of papers citing papers by Frederick Dobie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frederick Dobie

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

All Works

10 of 10 papers shown
1.
Siddiqui, Tabrez J., Parisa Karimi Tari, Steven A. Connor, et al.. (2013). An LRRTM4-HSPG Complex Mediates Excitatory Synapse Development on Dentate Gyrus Granule Cells. Neuron. 79(4). 680–695. 137 indexed citations
3.
Dobie, Frederick & Ann Marie Craig. (2011). Inhibitory Synapse Dynamics: Coordinated Presynaptic and Postsynaptic Mobility and the Major Contribution of Recycled Vesicles to New Synapse Formation. Journal of Neuroscience. 31(29). 10481–10493. 76 indexed citations
4.
Linhoff, Michael W., Juha Laurén, Robert M. Cassidy, et al.. (2009). An Unbiased Expression Screen for Synaptogenic Proteins Identifies the LRRTM Protein Family as Synaptic Organizers. Neuron. 61(5). 734–749. 286 indexed citations
5.
Kang, Yunhee, et al.. (2007). Induction of GABAergic Postsynaptic Differentiation by α-Neurexins. Journal of Biological Chemistry. 283(4). 2323–2334. 107 indexed citations
6.
Dobie, Frederick, Amanda Berg, Jan M. Boitz, & Armando Jardim. (2006). Kinetic characterization of inosine monophosphate dehydrogenase of Leishmania donovani. Molecular and Biochemical Parasitology. 152(1). 11–21. 24 indexed citations
7.
Sun, Xiulian, Guiqiong He, Hong Qing, et al.. (2006). Hypoxia facilitates Alzheimer's disease pathogenesis by up-regulating BACE1 gene expression. Proceedings of the National Academy of Sciences. 103(49). 18727–18732. 495 indexed citations
8.
He, Runtao, Andrew Leeson, Anton Andonov, et al.. (2004). Characterization of protein–protein interactions between the nucleocapsid protein and membrane protein of the SARS coronavirus. Virus Research. 105(2). 121–125. 97 indexed citations
9.
He, Runtao, Frederick Dobie, Andrew Leeson, et al.. (2004). Analysis of multimerization of the SARS coronavirus nucleocapsid protein. Biochemical and Biophysical Research Communications. 316(2). 476–483. 132 indexed citations
10.
He, Runtao, Andrew Leeson, Anton Andonov, et al.. (2003). Activation of AP-1 signal transduction pathway by SARS coronavirus nucleocapsid protein. Biochemical and Biophysical Research Communications. 311(4). 870–876. 105 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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