Paul R. Langlais

4.1k citations
93 papers · 3.1k indexed · 1 hit paper · h-index 29
Topics
Metabolism, Diabetes, and Cancer (17 papers)Adipose Tissue and Metabolism (17 papers)Mitochondrial Function and Pathology (15 papers)

In The Last Decade

Paul R. Langlais

88 papers receiving 3.0k citations

Hit Papers

APPL1 binds to adiponectin receptors and mediates adipone...20062026201220192006100200300400500

Peers

Paul R. Langlais
Comparison fields: 5 of 113
  • Molecular Biology 1.8k
  • Physiology 865
  • Epidemiology 581
  • Cell Biology 405
  • Surgery 265
Replace Hadi Al‐Hasani with:
Hadi Al‐Hasani Germany
Anna Greka United States
Jonathan D. Brown United States
Nasun Hah United States
Jamie W. Joseph Canada
Qingwei Chu United States
Nimesh Mody United Kingdom
Nazzareno Capitanio Italy
Nils Welsh Sweden
Donald K. Scott United States
Paul R. Langlais relative to Hadi Al‐Hasani Germany Hadi Al‐Hasani's profile →
Citations per field
00.5×1.5×
Hadi Al‐Hasani · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 3
4 1
5 1
6 8
7 1
8 4
9 10
10 2
11 6
12 22
13 3
14 16
15 10
16 33
17 5
18 22
19 24
20 14

About Paul R. Langlais

Paul R. Langlais is a scholar working on Cell Biology, Physiology and Molecular Biology, having authored 93 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (17 papers), Adipose Tissue and Metabolism (17 papers) and Mitochondrial Function and Pathology (15 papers). The work is most often cited by research in Physiology (865 citations), Molecular Biology (1.8k citations) and Cell Biology (405 citations). Paul R. Langlais has collaborated with scholars based in United States, Denmark and China. Frequent co-authors include Feng Liu, Lily Dong, Lawrence J. Mandarino, Fresnida J. Ramos, Xin Gen Lei, Carol A. Roneker, James P. McClung, Weipeng Mu, Donald J. Lisk and Zhengping Yi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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