Jennifer J. Smith

4.9k total citations
71 papers, 3.7k citations indexed

About

Jennifer J. Smith is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jennifer J. Smith has authored 71 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 15 papers in Genetics and 14 papers in Plant Science. Recurrent topics in Jennifer J. Smith's work include Venomous Animal Envenomation and Studies (12 papers), Ion channel regulation and function (10 papers) and Plant Molecular Biology Research (10 papers). Jennifer J. Smith is often cited by papers focused on Venomous Animal Envenomation and Studies (12 papers), Ion channel regulation and function (10 papers) and Plant Molecular Biology Research (10 papers). Jennifer J. Smith collaborates with scholars based in Australia, United States and United Kingdom. Jennifer J. Smith's co-authors include Andrew C. Johnson, Richard J. Williams, John J. Ross, Richard A. Rachubinski, James B. Reid, Monika D. Jürgens, Glenn F. King, Robert C. Elliott, Paul F. Alewood and L. H. J. Kerckhoffs and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jennifer J. Smith

70 papers receiving 3.6k citations

Peers

Jennifer J. Smith
Dietmar Kültz United States
Li Li China
Robert W. Read United States
David M. Kristensen Denmark
Lihong Wang China
William G. Willmore Canada
Caren C. Helbing Canada
Mário Sousa Portugal
Markus Braun Germany
Dietmar Kültz United States
Jennifer J. Smith
Citations per year, relative to Jennifer J. Smith Jennifer J. Smith (= 1×) peers Dietmar Kültz

Countries citing papers authored by Jennifer J. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer J. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer J. Smith. 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 Jennifer J. Smith. The network helps show where Jennifer J. Smith may publish in the future.

Co-authorship network of co-authors of Jennifer J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer J. Smith. A scholar is included among the top collaborators of Jennifer J. Smith 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 Jennifer J. Smith. Jennifer J. Smith 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.
Lamboley, C. R., Yanni K.‐Y. Chin, Jennifer J. Smith, et al.. (2023). A bivalent remipede toxin promotes calcium release via ryanodine receptor activation. Nature Communications. 14(1). 1036–1036. 4 indexed citations
2.
Giribaldi, Julien, Jennifer J. Smith, & Christina I. Schroeder. (2021). Recent developments in animal venom peptide nanotherapeutics with improved selectivity for cancer cells. Biotechnology Advances. 50. 107769–107769. 23 indexed citations
3.
Smith, Jennifer J., Argel Estrada‐Mondragón, Xue Xiao, et al.. (2019). GluClR-mediated inhibitory postsynaptic currents reveal targets for ivermectin and potential mechanisms of ivermectin resistance. PLoS Pathogens. 15(1). e1007570–e1007570. 24 indexed citations
4.
Shen, Huaizong, Zhangqiang Li, Yan Jiang, et al.. (2018). Structural basis for the modulation of voltage-gated sodium channels by animal toxins. Science. 362(6412). 196 indexed citations
5.
Madio, Bruno, Steve Peigneur, Yanni K.‐Y. Chin, et al.. (2018). PHAB toxins: a unique family of predatory sea anemone toxins evolving via intra-gene concerted evolution defines a new peptide fold. Cellular and Molecular Life Sciences. 75(24). 4511–4524. 39 indexed citations
6.
Krefft, S.D., et al.. (2018). Deployment-Related Lung Disease is Associated with Abnormal Ventilation on Cardiopulmonary Exercise Testing and with Increased Lung Clearance Index Score. Annals of the American Thoracic Society. 15(Supplement_2). S130–S130. 1 indexed citations
7.
Wilson, David T., Glen M. Boyle, Matthew J. Nolan, et al.. (2017). The Aromatic Head Group of Spider Toxin Polyamines Influences Toxicity to Cancer Cells. Toxins. 9(11). 346–346. 18 indexed citations
8.
Cardoso, Fernanda C., Zoltan Dekan, Jennifer J. Smith, et al.. (2017). Modulatory features of the novel spider toxin μ‐TRTX‐Df1a isolated from the venom of the spider Davus fasciatus. British Journal of Pharmacology. 174(15). 2528–2544. 44 indexed citations
9.
Ikonomopoulou, Maria P., Jennifer J. Smith, Volker Herzig, et al.. (2016). Isolation of two insecticidal toxins from venom of the Australian theraphosid spider Coremiocnemis tropix. Toxicon. 123. 62–70. 13 indexed citations
10.
Beaumont, Kimberley A., Darren J. Smit, Mira Patel, et al.. (2012). Melanocortin‐1 receptor‐mediated signalling pathways activated by NDP‐MSH and HBD3 ligands. Pigment Cell & Melanoma Research. 25(3). 370–374. 18 indexed citations
11.
Beaumont, Kimberley A., Mira Patel, Glenn L. Millhauser, et al.. (2011). Melanocortin MC1 receptor in human genetics and model systems. European Journal of Pharmacology. 660(1). 103–110. 38 indexed citations
12.
McKinnon, Gay E., Jennifer J. Smith, & BM Potts. (2010). Recurrent nuclear DNA introgression accompanies chloroplast DNA exchange between two eucalypt species. Molecular Ecology. 19(7). 1367–1380. 55 indexed citations
13.
Hwang, Daehee, Alistair G. Rust, Stephen A. Ramsey, et al.. (2005). A data integration methodology for systems biology. Proceedings of the National Academy of Sciences. 102(48). 17296–17301. 254 indexed citations
14.
Hwang, Daehee, Jennifer J. Smith, Deena M. Leslie Pedrioli, et al.. (2005). A data integration methodology for systems biology: Experimental verification. Proceedings of the National Academy of Sciences. 102(48). 17302–17307. 92 indexed citations
15.
16.
Smith, Jennifer J.. (2001). NCQA/HEDIS guidelines for diabetes.. PubMed. 10(2 Suppl). 3–5. 8 indexed citations
17.
Titorenko, Vladimir I., Jennifer J. Smith, Rachel K. Szilard, & Richard A. Rachubinski. (2000). Peroxisome Biogenesis in the Yeast Yarrowia lipolytica. Cell Biochemistry and Biophysics. 32(1-3). 21–26. 35 indexed citations
18.
Smith, Jennifer J., Rachel K. Szilard, Marcello Marelli, & Richard A. Rachubinski. (1997). The Peroxin Pex17p of the Yeast Yarrowia lipolytica Is Associated Peripherally with the Peroxisomal Membrane and Is Required for the Import of a Subset of Matrix Proteins. Molecular and Cellular Biology. 17(5). 2511–2520. 35 indexed citations
19.
Nuttley, William M., Rachel K. Szilard, Jennifer J. Smith, Marten Veenhuis, & Richard A. Rachubinski. (1995). The PAH2 gene is required for peroxisome assembly in the methylotrophic yeast Hansenula polymorpha and encodes a member of the tetratricopeptide repeat family of proteins. Gene. 160(1). 33–39. 28 indexed citations
20.
Palmer, Robert L., David Bramble, Michael Metcalfe, R. Oppenheimer, & Jennifer J. Smith. (1994). Childhood Sexual Experiences with Adults: Adult Male Psychiatric Patients and General Practice Attenders. The British Journal of Psychiatry. 165(5). 675–679. 23 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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