Kate Choi

442 total citations
10 papers, 211 citations indexed

About

Kate Choi is a scholar working on Immunology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, Kate Choi has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Immunology and Allergy. Recurrent topics in Kate Choi's work include T-cell and B-cell Immunology (5 papers), Cell Adhesion Molecules Research (4 papers) and Connexins and lens biology (4 papers). Kate Choi is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Cell Adhesion Molecules Research (4 papers) and Connexins and lens biology (4 papers). Kate Choi collaborates with scholars based in Canada, United States and Chile. Kate Choi's co-authors include May Dang-Lawson, Linda Matsuuchi, Christian C. Naus, Michael R. Gold, Steven Machtaler, Daniel Coombs, Libin Abraham, Marcia L. Graves, Madison Bolger-Munro and Raibatak Das and has published in prestigious journals such as Nature Communications, Journal of Cell Science and FEBS Letters.

In The Last Decade

Kate Choi

10 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate Choi Canada	7	104	98	31	30	16	10	211
Priscilla Soo Australia	7	114 1.1×	140 1.4×	62 2.0×	19 0.6×	12 0.8×	9	311
Irit Carmi-Levy Israel	6	270 2.6×	94 1.0×	21 0.7×	28 0.9×	7 0.4×	7	383
Jonathan Bayerl Germany	4	95 0.9×	47 0.5×	95 3.1×	34 1.1×	4 0.3×	4	199
Tamas Yelland United Kingdom	11	156 1.5×	38 0.4×	59 1.9×	19 0.6×	9 0.6×	16	234
Maris Handley United States	6	115 1.1×	184 1.9×	29 0.9×	17 0.6×	37 2.3×	7	298
Andrew J. Stempel United States	9	113 1.1×	81 0.8×	16 0.5×	19 0.6×	76 4.8×	14	327
Stéphane Dayot France	5	85 0.8×	27 0.3×	65 2.1×	28 0.9×	6 0.4×	6	159
Ah-Lai Law United Kingdom	6	217 2.1×	71 0.7×	173 5.6×	52 1.7×	10 0.6×	7	349
Deniz Saltukoglu Germany	5	130 1.3×	44 0.4×	26 0.8×	6 0.2×	24 1.5×	5	187
Christopher D. Heger United States	8	243 2.3×	73 0.7×	75 2.4×	30 1.0×	42 2.6×	16	375

Countries citing papers authored by Kate Choi

Since Specialization

Citations

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

Fields of papers citing papers by Kate Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Choi. A scholar is included among the top collaborators of Kate Choi 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 Kate Choi. Kate Choi 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

1.

Choi, Kate, et al.. (2023). WAVE2 Regulates Actin-Dependent Processes Induced by the B Cell Antigen Receptor and Integrins. Cells. 12(23). 2704–2704. 2 indexed citations

2.

Choi, Kate, et al.. (2022). ERK contributes to B cell receptor-induced cell spreading in the A20 mouse B cell line. PubMed. 2022. 1 indexed citations

3.

Bolger-Munro, Madison, et al.. (2021). The Wdr1-LIMK-Cofilin Axis Controls B Cell Antigen Receptor-Induced Actin Remodeling and Signaling at the Immune Synapse. Frontiers in Cell and Developmental Biology. 9. 649433–649433. 8 indexed citations

4.

Dang-Lawson, May, et al.. (2020). Identification of serine residues in the connexin43 carboxyl tail important for BCR-mediated spreading of B-lymphocytes. Journal of Cell Science. 133(5). 3 indexed citations

5.

Bolger-Munro, Madison, Kate Choi, Joshua Scurll, et al.. (2019). Arp2/3 complex-driven spatial patterning of the BCR enhances immune synapse formation, BCR signaling and B cell activation. eLife. 8. 44 indexed citations

6.

Freeman, Spencer A., Valentin Jaumouillé, Kate Choi, et al.. (2015). Toll-like receptor ligands sensitize B-cell receptor signalling by reducing actin-dependent spatial confinement of the receptor. Nature Communications. 6(1). 6168–6168. 60 indexed citations

7.

Machtaler, Steven, et al.. (2014). The role of the gap junction protein connexin43 in B lymphocyte motility and migration. FEBS Letters. 588(8). 1249–1258. 28 indexed citations

8.

Dang-Lawson, May, et al.. (2014). Mutations of Cx43 that affect B cell spreading in response to BCR signaling. Biology Open. 3(3). 185–194. 7 indexed citations

9.

Durand, Caylib, Martin J. Richer, Marcia L. Graves, et al.. (2012). Selective pharmacological inhibition of phosphoinositide 3-kinase p110delta opposes the progression of autoimmune diabetes in non-obese diabetic (NOD) mice. Autoimmunity. 46(1). 62–73. 18 indexed citations

10.

Machtaler, Steven, et al.. (2011). The gap junction protein Cx43 regulates B-lymphocyte spreading and adhesion. Journal of Cell Science. 124(15). 2611–2621. 40 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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