Christopher C. Meoli

702 total citations
9 papers, 353 citations indexed

About

Christopher C. Meoli is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Christopher C. Meoli has authored 9 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Physiology and 2 papers in Surgery. Recurrent topics in Christopher C. Meoli's work include Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Christopher C. Meoli is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Metabolism, Diabetes, and Cancer (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Christopher C. Meoli collaborates with scholars based in Australia, United Kingdom and Netherlands. Christopher C. Meoli's co-authors include David E. James, Jacqueline Stöckli, Daniel J. Fazakerley, Shi‐Xiong Tan, Yvonne Ng, Kelsey H. Fisher‐Wellman, Adelle C.F. Coster, Jia Li, Jagath R. Junutula and James G. Burchfield and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Diabetologia.

In The Last Decade

Christopher C. Meoli

9 papers receiving 348 citations

Peers

Christopher C. Meoli

MB

PHYSI

SURGE

EPIDE

CB

Evan P. Taddeo United States

Nicole Witte Germany

Magnus Hallberg Sweden

Alicia M. Saarinen United States

Samuel B. Sereda United States

Feng‐Jung Chen China

Song-Shan Tang China

Kazushi Araki Japan

Batuhan Yenilmez United States

Jane Palsgaard Denmark

Evan P. Taddeo United States

Christopher C. Meoli

291 ×1.2

MB

131 ×0.8

PHYSI

76 ×0.8

SURGE

71 ×1.1

EPIDE

32 ×0.5

CB

Citations per year, relative to Christopher C. Meoli Christopher C. Meoli (= 1×) peers Evan P. Taddeo

Countries citing papers authored by Christopher C. Meoli

Since Specialization

Citations

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

Fields of papers citing papers by Christopher C. Meoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher C. Meoli. 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 Christopher C. Meoli. The network helps show where Christopher C. Meoli may publish in the future.

Co-authorship network of co-authors of Christopher C. Meoli

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

All Works

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9 of 9 papers shown

1.

Stöckli, Jacqueline, Kelsey H. Fisher‐Wellman, Rima Chaudhuri, et al.. (2017). Metabolomic analysis of insulin resistance across different mouse strains and diets. Journal of Biological Chemistry. 292(47). 19135–19145. 30 indexed citations

2.

Chaudhuri, Rima, Katherine Tonks, Jagath R. Junutula, et al.. (2015). Cross-species gene expression analysis identifies a novel set of genes implicated in human insulin sensitivity. npj Systems Biology and Applications. 1(1). 15010–15010. 7 indexed citations

3.

Fazakerley, Daniel J., Rima Chaudhuri, Françoise Koumanov, et al.. (2015). Proteomic Analysis of GLUT4 Storage Vesicles Reveals Tumor Suppressor Candidate 5 (TUSC5) as a Novel Regulator of Insulin Action in Adipocytes. Journal of Biological Chemistry. 290(39). 23528–23542. 49 indexed citations

4.

Stöckli, Jacqueline, Christopher C. Meoli, Nolan J. Hoffman, et al.. (2015). The RabGAP TBC1D1 Plays a Central Role in Exercise-Regulated Glucose Metabolism in Skeletal Muscle. Diabetes. 64(6). 1914–1922. 47 indexed citations

5.

Tan, Shi‐Xiong, Kelsey H. Fisher‐Wellman, Daniel J. Fazakerley, et al.. (2015). Selective Insulin Resistance in Adipocytes. Journal of Biological Chemistry. 290(18). 11337–11348. 85 indexed citations

6.

Li, Jialin, James Cantley, James G. Burchfield, et al.. (2014). DOC2 isoforms play dual roles in insulin secretion and insulin-stimulated glucose uptake. Diabetologia. 57(10). 2173–2182. 29 indexed citations

7.

Wu, Lindsay E., Christopher C. Meoli, Salvatore Mangiafico, et al.. (2014). Systemic VEGF-A Neutralization Ameliorates Diet-Induced Metabolic Dysfunction. Diabetes. 63(8). 2656–2667. 27 indexed citations

8.

King, Gordon J., Jacqueline Stöckli, Shuhong Hu, et al.. (2012). Membrane Curvature Protein Exhibits Interdomain Flexibility and Binds a Small GTPase. Journal of Biological Chemistry. 287(49). 40996–41006. 15 indexed citations

9.

Tan, Shi‐Xiong, Yvonne Ng, Christopher C. Meoli, et al.. (2011). Amplification and Demultiplexing in Insulin-regulated Akt Protein Kinase Pathway in Adipocytes. Journal of Biological Chemistry. 287(9). 6128–6138. 64 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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