Paul R. Langlais

4.1k total citations · 1 hit paper
93 papers, 3.1k citations indexed

About

Paul R. Langlais is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Paul R. Langlais has authored 93 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 27 papers in Physiology and 24 papers in Cell Biology. Recurrent topics in Paul R. Langlais's work include Metabolism, Diabetes, and Cancer (17 papers), Adipose Tissue and Metabolism (17 papers) and Mitochondrial Function and Pathology (15 papers). Paul R. Langlais is often cited by papers focused on Metabolism, Diabetes, and Cancer (17 papers), Adipose Tissue and Metabolism (17 papers) and Mitochondrial Function and Pathology (15 papers). Paul R. Langlais collaborates with scholars based in United States, China and Denmark. Paul R. Langlais's co-authors include Feng Liu, Lily Dong, Lawrence J. Mandarino, Fresnida J. Ramos, James P. McClung, Xin Gen Lei, Donald J. Lisk, Weipeng Mu, Carol A. Roneker and Zhengping Yi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Paul R. Langlais

88 papers receiving 3.0k citations

Hit Papers

APPL1 binds to adiponectin receptors and mediates adipone... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul R. Langlais United States 29 1.8k 865 581 405 265 93 3.1k
Michelle S. Johnson United States 32 2.0k 1.1× 616 0.7× 585 1.0× 255 0.6× 211 0.8× 59 3.7k
Nimesh Mody United Kingdom 24 2.3k 1.3× 1.2k 1.4× 1.0k 1.8× 282 0.7× 294 1.1× 48 3.8k
Klaus van Leyen United States 37 2.1k 1.2× 413 0.5× 594 1.0× 348 0.9× 163 0.6× 74 4.3k
Celia Quijano Uruguay 24 1.8k 1.0× 1.5k 1.7× 606 1.0× 226 0.6× 183 0.7× 43 3.7k
Nasun Hah United States 21 2.7k 1.5× 816 0.9× 596 1.0× 165 0.4× 284 1.1× 29 4.2k
Kathleen A. Harrison United States 29 1.8k 1.0× 465 0.5× 285 0.5× 296 0.7× 428 1.6× 70 3.2k
Anna Greka United States 25 2.3k 1.3× 379 0.4× 298 0.5× 261 0.6× 272 1.0× 48 4.3k
Mariana Nikolova‐Karakashian United States 31 2.2k 1.3× 639 0.7× 393 0.7× 510 1.3× 379 1.4× 66 3.1k
Ping Song China 35 1.7k 1.0× 695 0.8× 503 0.9× 214 0.5× 388 1.5× 94 3.6k
Loredana Quadro United States 33 2.9k 1.6× 807 0.9× 895 1.5× 214 0.5× 322 1.2× 78 4.5k

Countries citing papers authored by Paul R. Langlais

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Langlais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Langlais. 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 Paul R. Langlais. The network helps show where Paul R. Langlais may publish in the future.

Co-authorship network of co-authors of Paul R. Langlais

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Langlais. A scholar is included among the top collaborators of Paul R. Langlais 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 Paul R. Langlais. Paul R. Langlais 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.
Straub, Leon G., Jan‐Bernd Funcke, Nolwenn Joffin, et al.. (2025). Defining lipedema's molecular hallmarks by multi-omics approach for disease prediction in women. Metabolism. 168. 156191–156191. 4 indexed citations
3.
Padilla, Cristina M., et al.. (2025). Multilayered regulation of TORC1 signaling by Ait1, Gcn2, and SEAC/GATOR during nitrogen limitation and starvation. Nature Communications. 17(1). 220–220.
4.
Langlais, Paul R., et al.. (2024). Phosphoproteomic profiling identifies DNMT1 as a key substrate of beta IV spectrin-dependent ERK/MAPK signaling in suppressing angiogenesis. Biochemical and Biophysical Research Communications. 711. 149916–149916. 1 indexed citations
5.
Hempel, Nadine, Pascale G. Charest, Nathan A. Ellis, et al.. (2024). Extracellular signals induce dynamic ER remodeling through αTAT1-dependent microtubule acetylation. Neoplasia. 53. 101003–101003. 3 indexed citations
6.
Li, Nicholas, et al.. (2024). Investigation of lactotransferrin messenger RNA expression levels as an anti–type 2 asthma biomarker. Journal of Allergy and Clinical Immunology. 154(3). 609–618. 2 indexed citations
7.
8.
Parker, Sara S., Kathylynn Saboda, Denise J. Roe, et al.. (2023). EVL and MIM/MTSS1 regulate actin cytoskeletal remodeling to promote dendritic filopodia in neurons. The Journal of Cell Biology. 222(5). 8 indexed citations
9.
Kumar, Sanjay, et al.. (2023). Endothelial tip/stalk cell selection requires BMP9-induced βIV-spectrin expression during sprouting angiogenesis. Molecular Biology of the Cell. 34(7). ar72–ar72. 6 indexed citations
10.
Liktor‐Busa, Erika, et al.. (2023). Depletion of Endothelial-Derived 2-AG Reduces Blood-Endothelial Barrier Integrity via Alteration of VE-Cadherin and the Phospho-Proteome. International Journal of Molecular Sciences. 25(1). 531–531. 1 indexed citations
11.
Majuta, Lisa, Angela F. Smith, Paul R. Langlais, et al.. (2022). Targeting 5-HT2A receptors and Kv7 channels in PFC to attenuate chronic neuropathic pain in rats using a spared nerve injury model. Neuroscience Letters. 789. 136864–136864. 2 indexed citations
12.
Pan, Christopher C., et al.. (2022). EPDR1 is a noncanonical effector of insulin-mediated angiogenesis regulated by an endothelial-specific TGF-β receptor complex. Journal of Biological Chemistry. 298(9). 102297–102297. 6 indexed citations
13.
Langlais, Paul R., et al.. (2022). Extracellular Alterations in pH and K+ Modify the Murine Brain Endothelial Cell Total and Phospho-Proteome. Pharmaceutics. 14(7). 1469–1469. 2 indexed citations
14.
Pijl, Robbert van der, Marloes van den Berg, Sylvia J. P. Bogaards, et al.. (2021). Muscle ankyrin repeat protein 1 (MARP1) locks titin to the sarcomeric thin filament and is a passive force regulator. The Journal of General Physiology. 153(7). 22 indexed citations
15.
Finlayson, Jean, Paul R. Langlais, Janet L. Funk, et al.. (2021). Site-specific acetylation of adenine nucleotide translocase 1 at lysine 23 in human muscle. Analytical Biochemistry. 630. 114319–114319. 3 indexed citations
16.
Langlais, Paul R., et al.. (2021). Microtubules in insulin action: what’s on the tube?. Trends in Endocrinology and Metabolism. 32(10). 776–789. 10 indexed citations
17.
18.
Liktor‐Busa, Erika, et al.. (2021). Sex differences in the expression of the endocannabinoid system within V1M cortex and PAG of Sprague Dawley rats. Biology of Sex Differences. 12(1). 60–60. 33 indexed citations
19.
Lei, Wei, Natalie K. Barker, Sanket J. Mishra, et al.. (2020). Inhibition of Hsp90 in the spinal cord enhances the antinociceptive effects of morphine by activating an ERK-RSK pathway. Science Signaling. 13(630). 14 indexed citations
20.
Barker, Natalie K., et al.. (2020). Discriminating changes in protein structure using tyrosine conjugation. Protein Science. 29(8). 1784–1793. 24 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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