Maren E. Cannon

1.2k total citations
9 papers, 369 citations indexed

About

Maren E. Cannon is a scholar working on Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Maren E. Cannon has authored 9 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Maren E. Cannon's work include RNA modifications and cancer (3 papers), Lipid metabolism and disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). Maren E. Cannon is often cited by papers focused on RNA modifications and cancer (3 papers), Lipid metabolism and disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). Maren E. Cannon collaborates with scholars based in United States, United Kingdom and Finland. Maren E. Cannon's co-authors include Karen L. Mohlke, W. H. Churchill, Carrie E. Schweitzer, Rafael Lemaitre, Keith A. Crandall, Heather D. Bracken‐Grissom, Shane T. Ahyong, Patricia Cabezas, Darryl L. Felder and Rodney M. Feldmann and has published in prestigious journals such as The American Journal of Human Genetics, Diabetologia and PLoS Genetics.

In The Last Decade

Maren E. Cannon

9 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maren E. Cannon United States 7 120 106 88 42 39 9 369
Wolf-Dietrich Krautgartner Austria 10 273 2.3× 146 1.4× 41 0.5× 26 0.6× 15 0.4× 12 704
Hélen Julie Laure Brazil 13 182 1.5× 118 1.1× 73 0.8× 27 0.6× 26 0.7× 30 512
Á Okamura Japan 18 162 1.4× 53 0.5× 80 0.9× 263 6.3× 36 0.9× 56 875
Anders Palmstrøm Jørgensen Norway 16 158 1.3× 180 1.7× 140 1.6× 46 1.1× 10 0.3× 45 641
Katsuyuki Eguchi Japan 15 205 1.7× 34 0.3× 376 4.3× 24 0.6× 22 0.6× 95 925
Michelle Gardner Spain 12 213 1.8× 147 1.4× 176 2.0× 36 0.9× 7 0.2× 18 463
Françoise Poitevin France 12 53 0.4× 141 1.3× 74 0.8× 46 1.1× 30 0.8× 20 709
Mitsuko Takahashi Japan 13 89 0.7× 44 0.4× 30 0.3× 34 0.8× 18 0.5× 44 391
Eric J. Rellinger United States 15 205 1.7× 95 0.9× 106 1.2× 13 0.3× 22 0.6× 41 771
Abhijit Das India 13 82 0.7× 90 0.8× 175 2.0× 47 1.1× 9 0.2× 84 533

Countries citing papers authored by Maren E. Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Maren E. Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maren E. Cannon. 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 Maren E. Cannon. The network helps show where Maren E. Cannon may publish in the future.

Co-authorship network of co-authors of Maren E. Cannon

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

All Works

9 of 9 papers shown
1.
Parsons, Victoria A., Swarooparani Vadlamudi, Maren E. Cannon, et al.. (2025). TBC1D30 regulates proinsulin and insulin secretion and is the target of a genomic association signal for proinsulin. Diabetologia. 68(6). 1169–1183. 1 indexed citations
2.
Boehnke, Michael, Pasi Soininen, Mete Civelek, et al.. (2020). Trans -ancestry Fine Mapping and Molecular Assays Identify Regulatory Variants at the ANGPTL8 HDL-C GWAS Locus. Insecta mundi. 1 indexed citations
3.
Cannon, Maren E., Kristin L. Young, Hannah J. Perrin, et al.. (2019). Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits. G3 Genes Genomes Genetics. 9(8). 2521–2533. 14 indexed citations
4.
Cannon, Maren E. & Karen L. Mohlke. (2018). Deciphering the Emerging Complexities of Molecular Mechanisms at GWAS Loci. The American Journal of Human Genetics. 103(5). 637–653. 76 indexed citations
5.
Cannon, Maren E., Qing Duan, Ying Wu, et al.. (2017). Trans-ancestry Fine Mapping and Molecular Assays Identify Regulatory Variants at the ANGPTL8 HDL-C GWAS Locus. G3 Genes Genomes Genetics. 7(9). 3217–3227. 17 indexed citations
6.
Fogarty, Marie P., Maren E. Cannon, Swarooparani Vadlamudi, Kyle J. Gaulton, & Karen L. Mohlke. (2014). Identification of a Regulatory Variant That Binds FOXA1 and FOXA2 at the CDC123/CAMK1D Type 2 Diabetes GWAS Locus. PLoS Genetics. 10(9). e1004633–e1004633. 50 indexed citations
7.
Bracken‐Grissom, Heather D., Maren E. Cannon, Patricia Cabezas, et al.. (2013). A comprehensive and integrative reconstruction of evolutionary history for Anomura (Crustacea: Decapoda). BMC Evolutionary Biology. 13(1). 128–128. 118 indexed citations
8.
Dorman, Susan E., et al.. (2000). Fulminant babesiosis treated with clindamycin, quinine,and whole‐blood exchange transfusion. Transfusion. 40(3). 375–380. 55 indexed citations
9.
Liljas, Bengt, et al.. (1998). Perceptions and preferences of autologous blood donors. Transfusion. 38(8). 757–763. 37 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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2026