Chris Arendt

2.0k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Chris Arendt is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Chris Arendt has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Chris Arendt's work include T-cell and B-cell Immunology (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Immune Cell Function and Interaction (4 papers). Chris Arendt is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Immune Cell Function and Interaction (4 papers). Chris Arendt collaborates with scholars based in United States, Canada and France. Chris Arendt's co-authors include Dan R. Littman, Zuoming Sun, Pamela L. Schwartzberg, Leena Gandhi, Abraham Kupfer, Wilfried Ellmeier, Edward M. Schaeffer, Mary Jean Sunshine, Justin P. Annes and Hanne L. Ostergaard and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Chris Arendt

18 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PKC-θ is required for TCR-induced NF-κB activation in mature but not immature T lymphocytes

2000 783 citations Zuoming Sun, Chris Arendt et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chris Arendt United States	14	879	529	279	245	159	18	1.4k
Caroline Bäumler Germany	7	1.2k 1.4×	1.1k 2.0×	268 1.0×	304 1.2×	136 0.9×	8	1.9k
Andris Avots Germany	21	913 1.0×	1.0k 1.9×	328 1.2×	285 1.2×	59 0.4×	36	1.8k
Emanuele Giurisato Italy	22	1.1k 1.3×	788 1.5×	138 0.5×	440 1.8×	95 0.6×	39	2.1k
Manuela Urban Germany	7	836 1.0×	629 1.2×	828 3.0×	237 1.0×	70 0.4×	9	1.4k
Andrzej Ptasznik United States	22	437 0.5×	767 1.4×	137 0.5×	386 1.6×	79 0.5×	37	1.6k
Carmela DeLuca Canada	11	654 0.7×	609 1.2×	279 1.0×	381 1.6×	97 0.6×	12	1.4k
James W. Peacock Canada	24	354 0.4×	931 1.8×	181 0.6×	525 2.1×	97 0.6×	41	1.6k
Nolwenn Coudronnière France	10	829 0.9×	396 0.7×	315 1.1×	248 1.0×	128 0.8×	13	1.1k
J P Ways United States	10	911 1.0×	520 1.0×	267 1.0×	231 0.9×	32 0.2×	11	1.6k
Sam K. P. Kung Canada	22	674 0.8×	698 1.3×	119 0.4×	255 1.0×	70 0.4×	61	1.5k

Countries citing papers authored by Chris Arendt

Since Specialization

Citations

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

Fields of papers citing papers by Chris Arendt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Arendt

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

All Works

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18 of 18 papers shown

Liu, Hong, et al.. (2016). Gene signature-based mapping of immunological systems and diseases. BMC Bioinformatics. 17(1). 171–171. 5 indexed citations

Liu, Hong, et al.. (2016). TLR3 Signaling Promotes the Induction of Unique Human BDCA-3 Dendritic Cell Populations. Frontiers in Immunology. 7. 88–88. 24 indexed citations

Soos, Timothy, Li Li, Joanne K. Schiding, et al.. (2016). Glucopyranosyl Lipid a (GLA) a Toll-like Receptor 4 (TLR4) Agonist for Use As an Adjuvant in Combination with Peanut Allergen Immunotherapy. Journal of Allergy and Clinical Immunology. 137(2). AB129–AB129. 6 indexed citations

Liu, Li, Donghui Zhang, Hong Liu, & Chris Arendt. (2013). Robust methods for population stratification in genome wide association studies. BMC Bioinformatics. 14(1). 132–132. 25 indexed citations

Li, Li, Jingchun Liu, Thomas Delohery, et al.. (2013). The effects of teriflunomide on lymphocyte subpopulations in human peripheral blood mononuclear cells in vitro. Journal of Neuroimmunology. 265(1-2). 82–90. 70 indexed citations

Liu, Hong, et al.. (2011). Evaluating Translocation Gene Fusions by SNP Array Data. Cancer Informatics. 11. CIN.S8026–CIN.S8026. 3 indexed citations

Wang, Rui, Kyra Oswald‐Richter, Michelle Tseng, et al.. (2008). Naive Precursors of Human Regulatory T Cells Require FoxP3 for Suppression and Are Susceptible to HIV Infection. The Journal of Immunology. 180(2). 764–773. 68 indexed citations

Arendt, Chris, Guilin Tang, & Asher Zilberstein. (2003). Vector Systems for the Delivery of Small Interfering RNAs: Managing the RISC. ChemBioChem. 4(11). 1129–1136. 7 indexed citations

Arendt, Chris, Björn Albrecht, Timothy Soos, & Dan R. Littman. (2002). Protein kinase C-θ: signaling from the center of the T-cell synapse. Current Opinion in Immunology. 14(3). 323–330. 94 indexed citations

10.

Arendt, Chris & Dan R. Littman. (2001). HIV: master of the host cell.. Genome Biology. 2(11). reviews1030.1–reviews1030.1. 24 indexed citations

11.

Sun, Zuoming, Chris Arendt, Wilfried Ellmeier, et al.. (2000). PKC-θ is required for TCR-induced NF-κB activation in mature but not immature T lymphocytes. Nature. 404(6776). 402–407. 783 indexed citations breakdown →

12.

Arendt, Chris & H L Ostergaard. (2000). Two distinct domains of the -subunit of glucosidase II interact with the catalytic -subunit. Glycobiology. 10(5). 487–492. 24 indexed citations

13.

Arendt, Chris, Wojciech Dawicki, & H L Ostergaard. (1999). Alternative splicing of transcripts encoding the - and -subunits of mouse glucosidase II in T lymphocytes. Glycobiology. 9(3). 277–283. 22 indexed citations

14.

Lalani, Alshad S., Wei Zeng, John W. Barrett, et al.. (1999). Use of Chemokine Receptors by Poxviruses. Science. 286(5446). 1968–1971. 118 indexed citations

15.

Ostergaard, Hanne L., et al.. (1998). Paxillin Phosphorylation and Association with Lck and Pyk2 in Anti-CD3- or Anti-CD45-stimulated T Cells. Journal of Biological Chemistry. 273(10). 5692–5696. 60 indexed citations

16.

Arendt, Chris & Hanne L. Ostergaard. (1997). Identification of the CD45-associated 116-kDa and 80-kDa Proteins as the α- and β-Subunits of α-Glucosidase II. Journal of Biological Chemistry. 272(20). 13117–13125. 50 indexed citations

17.

Arendt, Chris, et al.. (1995). Immobilized antibodies to CD45 induce rapid morphologic changes and increased tyrosine phosphorylation of p56lck-associated proteins in T cells. The Journal of Immunology. 155(11). 5095–5103. 26 indexed citations

18.

Arendt, Chris & Hanne L. Ostergaard. (1995). CD45 Protein-tyrosine Phosphatase Is Specifically Associated with a 116-kDa Tyrosine-phosphorylated Glycoprotein. Journal of Biological Chemistry. 270(5). 2313–2319. 13 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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