Joseph P. Argus

1.2k total citations · 1 hit paper
7 papers, 462 citations indexed

About

Joseph P. Argus is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Joseph P. Argus has authored 7 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Immunology. Recurrent topics in Joseph P. Argus's work include Cholesterol and Lipid Metabolism (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Joseph P. Argus is often cited by papers focused on Cholesterol and Lipid Metabolism (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (1 paper). Joseph P. Argus collaborates with scholars based in United States, Austria and China. Joseph P. Argus's co-authors include Steven J. Bensinger, Kevin J. Williams, Heidi Elsaesser, Thomas G. Graeber, M. Benjamin Hock, Karen Reue, Evangelia Komisopoulou, Yoko Kidani, Timothy F. Osborne and Laurent Vergnes and has published in prestigious journals such as Nature Communications, Nature Immunology and The Journal of Immunology.

In The Last Decade

Joseph P. Argus

7 papers receiving 461 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.

Sterol regulatory element–binding proteins are essential for the metabolic programming of effector T cells and adaptive immunity

2013 419 citations Yoko Kidani, Heidi Elsaesser et al. Nature Immunology profile →

Peers

Joseph P. Argus

IMMUN

MB

CR

SURGE

ONCOL

Savithri Balasubramanian United States

Wonyong Lee South Korea

Andreea Petrasca Ireland

Olympia Papantonopoulou Germany

Fengxia He China

Jan Dimberg Sweden

Léa Zaffalon Switzerland

Émilie Ronin France

Anastasia Kalantzis Australia

Lorena Carmona‐Rodríguez Spain

Savithri Balasubramanian United States

Joseph P. Argus

356 ×1.3

IMMUN

128 ×0.7

MB

78 ×0.8

CR

44 ×0.5

SURGE

71 ×1.0

ONCOL

Citations per year, relative to Joseph P. Argus Joseph P. Argus (= 1×) peers Savithri Balasubramanian

Countries citing papers authored by Joseph P. Argus

Since Specialization

Citations

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

Fields of papers citing papers by Joseph P. Argus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph P. Argus. 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 Joseph P. Argus. The network helps show where Joseph P. Argus may publish in the future.

Co-authorship network of co-authors of Joseph P. Argus

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

All Works

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7 of 7 papers shown

1.

Argus, Joseph P., Aaron M. Armando, Evelyn Rampler, et al.. (2025). Computationally unmasking each fatty acyl C=C position in complex lipids by routine LC-MS/MS lipidomics. Nature Communications. 16(1). 7277–7277. 1 indexed citations

2.

Argus, Joseph P., Moses Q. Wilks, Quan Zhou, et al.. (2018). Development and Application of FASA, a Model for Quantifying Fatty Acid Metabolism Using Stable Isotope Labeling. Cell Reports. 25(10). 2919–2934.e8. 10 indexed citations

3.

Argus, Joseph P., et al.. (2017). Automatic concentration and reformulation of PET tracers via microfluidic membrane distillation. Lab on a Chip. 17(10). 1802–1816. 11 indexed citations

4.

Argus, Joseph P., et al.. (2016). An optimized method for measuring fatty acids and cholesterol in stable isotope-labeled cells. Journal of Lipid Research. 58(2). 460–468. 10 indexed citations

5.

York, Autumn G., Kevin J. Williams, Xin Liu, et al.. (2016). Rapid transcriptional reprogramming of the lipid biosynthesis genes in response to type I interferon. The Journal of Immunology. 196(1_Supplement). 202.14–202.14. 2 indexed citations

6.

Argus, Joseph P., Donna Crabtree, Melissa M. Keenan, et al.. (2015). Modulation of PICALM Levels Perturbs Cellular Cholesterol Homeostasis. PLoS ONE. 10(6). e0129776–e0129776. 9 indexed citations

7.

Kidani, Yoko, Heidi Elsaesser, M. Benjamin Hock, et al.. (2013). Sterol regulatory element–binding proteins are essential for the metabolic programming of effector T cells and adaptive immunity. Nature Immunology. 14(5). 489–499. 419 indexed citations breakdown →

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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