Kimberly Snyder

936 total citations
9 papers, 742 citations indexed

About

Kimberly Snyder is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kimberly Snyder has authored 9 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kimberly Snyder's work include Hippo pathway signaling and YAP/TAZ (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Kimberly Snyder is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Kimberly Snyder collaborates with scholars based in Canada, United States and Australia. Kimberly Snyder's co-authors include Carolyn Ferguson, Joseph J. Quinlan, Leonard L. Firestone, Gregg E. Homanics, Richard W. Olsen, Timothy M. DeLorey, Caroline Rick, Esa R. Korpi, Adrian Handforth and Murray H. Brilliant and has published in prestigious journals such as Proceedings of the National Academy of Sciences, FEBS Letters and Developmental Cell.

In The Last Decade

Kimberly Snyder

9 papers receiving 731 citations

Peers

Kimberly Snyder

MB

CMN

GENET

CN

IMMUN

Christine Laliberté Canada

Hisako Ohba Japan

Damian G. Wheeler United States

Mari Kondo Japan

Michaela Kraus Austria

Eugene Wyatt United States

Susanne C. Bleckmann Germany

Takeshi Hiramoto Japan

Alessandra Folci Italy

E. Giladi Israel

Christine Laliberté Canada

Kimberly Snyder

435 ×1.1

MB

278 ×0.9

CMN

130 ×0.8

GENET

91 ×0.8

CN

45 ×0.7

IMMUN

Citations per year, relative to Kimberly Snyder Kimberly Snyder (= 1×) peers Christine Laliberté

Countries citing papers authored by Kimberly Snyder

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly Snyder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Snyder

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Bock, Charles E. de, Michael R. Hughes, Kimberly Snyder, et al.. (2017). Protein interaction screening identifies SH3RF1 as a new regulator of FAT1 protein levels. FEBS Letters. 591(4). 667–678. 5 indexed citations

2.

Oudhoff, Menno J., Mitchell J.S. Braam, Spencer A. Freeman, et al.. (2016). SETD7 Controls Intestinal Regeneration and Tumorigenesis by Regulating Wnt/β-Catenin and Hippo/YAP Signaling. Developmental Cell. 37(1). 47–57. 92 indexed citations

3.

Snyder, Kimberly, Michael R. Hughes, Peter Bergqvist, et al.. (2015). Podocalyxin enhances breast tumor growth and metastasis and is a target for monoclonal antibody therapy. Breast Cancer Research. 17(1). 46–46. 56 indexed citations

4.

Lo, Bernard C., Kimberly Snyder, Alissa Cait, et al.. (2014). Mast Cells in Human Health and Disease. Methods in molecular biology. 1220. 93–119. 29 indexed citations

5.

Hadidi, Sima, Frann Antignano, Michael R. Hughes, et al.. (2012). Myeloid cell-specific expression of Ship1 regulates IL-12 production and immunity to helminth infection. Mucosal Immunology. 5(5). 535–543. 16 indexed citations

6.

Homanics, Gregg E., Carolyn Ferguson, Joseph J. Quinlan, et al.. (1997). Gene Knockout of the α6 Subunit of the γ-Aminobutyric Acid Type A Receptor: Lack of Effect on Responses to Ethanol, Pentobarbital, and General Anesthetics. Molecular Pharmacology. 51(4). 588–596. 144 indexed citations

7.

Homanics, Gregg E., Timothy M. DeLorey, Leonard L. Firestone, et al.. (1997). Mice devoid of γ-aminobutyrate type A receptor β3 subunit have epilepsy, cleft palate, and hypersensitive behavior. Proceedings of the National Academy of Sciences. 94(8). 4143–4148. 379 indexed citations

8.

Touchstone, Joseph C., et al.. (1984). Analysis of Plasmalogens byInSituReaction on Thin Layer Chromatograms. Journal of Liquid Chromatography. 7(14). 2725–2733. 12 indexed citations

9.

Martin, Robert A., et al.. (1980). High Pressure Liquid Chromatographic Determination of Theobromine and Caffeine in Cocoa and Chocolate Products: Collaborative Study. Journal of AOAC INTERNATIONAL. 63(3). 591–594. 9 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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