Logan K. Smith

631 total citations
10 papers, 383 citations indexed

About

Logan K. Smith is a scholar working on Molecular Biology, Immunology and Ecology. According to data from OpenAlex, Logan K. Smith has authored 10 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Ecology. Recurrent topics in Logan K. Smith's work include Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (4 papers) and Bacteriophages and microbial interactions (3 papers). Logan K. Smith is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (4 papers) and Bacteriophages and microbial interactions (3 papers). Logan K. Smith collaborates with scholars based in Canada, United States and Germany. Logan K. Smith's co-authors include Bebhinn Treanor, Martin J. Richer, Connie M. Krawczyk, Stephanie A. Condotta, Julie Bruneau, Noah S. Butler, Giselle M. Boukhaled, Jenna J. Guthmiller, Naglaa H. Shoukry and Rahul Vijay and has published in prestigious journals such as Nature Communications, Immunity and The Journal of Immunology.

In The Last Decade

Logan K. Smith

10 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Logan K. Smith Canada	7	289	141	96	32	22	10	383
Maxim Pavlenko Sweden	10	313 1.1×	173 1.2×	94 1.0×	48 1.5×	18 0.8×	12	430
Saho Maruyama Japan	11	330 1.1×	115 0.8×	58 0.6×	46 1.4×	35 1.6×	18	454
Robert Weth Germany	11	221 0.8×	107 0.8×	120 1.3×	71 2.2×	36 1.6×	13	362
Jae‐A Han South Korea	9	160 0.6×	157 1.1×	33 0.3×	25 0.8×	24 1.1×	13	355
Valeria Rolih Italy	9	154 0.5×	126 0.9×	115 1.2×	22 0.7×	13 0.6×	10	344
Maria-Dorothea Nastke United States	9	196 0.7×	215 1.5×	86 0.9×	56 1.8×	56 2.5×	12	374
Dorian A. Stolk Netherlands	8	206 0.7×	195 1.4×	57 0.6×	32 1.0×	14 0.6×	9	328
Gijs G. Zom Netherlands	14	408 1.4×	215 1.5×	151 1.6×	83 2.6×	57 2.6×	17	518
Angela Landrigan United States	6	204 0.7×	161 1.1×	46 0.5×	20 0.6×	12 0.5×	6	372
W Budzyński United States	10	239 0.8×	200 1.4×	76 0.8×	44 1.4×	53 2.4×	24	394

Countries citing papers authored by Logan K. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Logan K. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Logan K. Smith

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

All Works

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10 of 10 papers shown

Paul, Michael St., Samuel D. Saibil, SeongJun Han, et al.. (2024). Ex vivo activation of the GCN2 pathway metabolically reprograms T cells, leading to enhanced adoptive cell therapy. Cell Reports Medicine. 5(3). 101465–101465. 9 indexed citations

Smith, Logan K., et al.. (2021). Galectin-9 regulates the threshold of B cell activation and autoimmunity. eLife. 10. 17 indexed citations

Smith, Logan K., Giselle M. Boukhaled, Stephanie A. Condotta, et al.. (2018). Interleukin-10 Directly Inhibits CD8+ T Cell Function by Enhancing N-Glycan Branching to Decrease Antigen Sensitivity. Immunity. 48(2). 299–312.e5. 191 indexed citations

Giovannone, Nicholas, Logan K. Smith, Bebhinn Treanor, & Charles J. Dimitroff. (2018). Galectin-Glycan Interactions as Regulators of B Cell Immunity. Frontiers in Immunology. 9. 2839–2839. 38 indexed citations

Cao, Anh, Logan K. Smith, Andrew T. Quaile, et al.. (2018). Galectin-9 binds IgM-BCR to regulate B cell signaling. Nature Communications. 9(1). 3288–3288. 72 indexed citations

Smith, Logan K., et al.. (2017). Protein Tyrosine Phosphatase Inhibition Prevents Experimental Cerebral Malaria by Precluding CXCR3 Expression on T Cells. Scientific Reports. 7(1). 5478–5478. 5 indexed citations

Davis, Maria C., et al.. (2015). Functional reconstitution of an unusual Firmicutes σ factor into a Gram-negative heterologous host. Canadian Journal of Microbiology. 61(11). 818–826. 1 indexed citations

Davis, Maria C., Logan K. Smith, & Shawn R. MacLellan. (2015). The atypical two-subunit σ factor from Bacillus subtilis is regulated by an integral membrane protein and acid stress. Microbiology. 162(2). 398–407. 3 indexed citations

Storms, Zachary J., Logan K. Smith, Dominic Sauvageau, & David G. Cooper. (2012). Modeling bacteriophage attachment using adsorption efficiency. Biochemical Engineering Journal. 64. 22–29. 15 indexed citations

10.

Snoke, Ken, Jeff Alexander, Alessandra Franco, et al.. (1993). The inhibition of different T cell lines specific for the same antigen with TCR antagonist peptides.. The Journal of Immunology. 151(12). 6815–6821. 32 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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