Gary Sweeney

410 total citations
8 papers, 344 citations indexed

About

Gary Sweeney is a scholar working on Epidemiology, Physiology and Molecular Biology. According to data from OpenAlex, Gary Sweeney has authored 8 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in Gary Sweeney's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers) and Metabolism, Diabetes, and Cancer (2 papers). Gary Sweeney is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (5 papers) and Metabolism, Diabetes, and Cancer (2 papers). Gary Sweeney collaborates with scholars based in Canada, Hong Kong and United States. Gary Sweeney's co-authors include Ren‐Ke Li, S. Madani, David G. Muñoz, Yu Wang, Mika Eguchi, Ying Liu, Shelley Pallan, Mi Kyoung Park, Palanivel Rajan and Fang Xu and has published in prestigious journals such as Biochemical Journal, Diabetologia and Cardiovascular Research.

In The Last Decade

Gary Sweeney

8 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Sweeney Canada	7	163	145	108	86	75	8	344
Yunuen Quintero Spain	6	227 1.4×	165 1.1×	140 1.3×	97 1.1×	40 0.5×	6	435
Martina Russ Germany	7	131 0.8×	186 1.3×	134 1.2×	89 1.0×	37 0.5×	8	354
Young Ho Ahn South Korea	2	279 1.7×	248 1.7×	173 1.6×	58 0.7×	75 1.0×	4	470
Candice R. Holden United States	6	133 0.8×	189 1.3×	114 1.1×	58 0.7×	24 0.3×	7	383
Kawtar Raghay Spain	9	240 1.5×	207 1.4×	73 0.7×	117 1.4×	121 1.6×	10	448
Palanivel Rajan Canada	6	219 1.3×	174 1.2×	77 0.7×	56 0.7×	69 0.9×	8	312
Tomoka Mineyama Japan	5	184 1.1×	167 1.2×	159 1.5×	38 0.4×	45 0.6×	6	370
Irina C. Frei Switzerland	3	174 1.1×	154 1.1×	90 0.8×	51 0.6×	34 0.5×	4	372
Daniela Dietze‐Schroeder Germany	7	298 1.8×	318 2.2×	153 1.4×	75 0.9×	47 0.6×	7	537
Evgeny Chichelnitskiy Germany	6	207 1.3×	322 2.2×	94 0.9×	71 0.8×	20 0.3×	11	422

Countries citing papers authored by Gary Sweeney

Since Specialization

Citations

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

Fields of papers citing papers by Gary Sweeney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Sweeney. 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 Gary Sweeney. The network helps show where Gary Sweeney may publish in the future.

Co-authorship network of co-authors of Gary Sweeney

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

All Works

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8 of 8 papers shown

1.

Sung, Hye Kyoung, et al.. (2021). Iron overload reduces adiponectin receptor expression via a ROS/FOXO1‐dependent mechanism leading to adiponectin resistance in skeletal muscle cells. Journal of Cellular Physiology. 236(7). 5339–5351. 12 indexed citations

2.

Yang, Bo, Ping Yu Fan, Aimin Xu, et al.. (2012). Improved functional recovery to I/R injury in hearts from lipocalin-2 deficiency mice: restoration of mitochondrial function and phospholipids remodeling.. PubMed. 4(1). 60–71. 29 indexed citations

3.

Gao, Xuefei, Kuai Li, Xiaoyan Hui, et al.. (2011). Carnitine palmitoyltransferase 1A prevents fatty acid-induced adipocyte dysfunction through suppression of c-Jun N-terminal kinase. Biochemical Journal. 435(3). 723–732. 60 indexed citations

4.

Sweeney, Gary. (2009). Unraveling the mechanisms linking obesity and heart failure: the role of adipokines. Expert Review of Endocrinology & Metabolism. 4(2). 95–97. 2 indexed citations

5.

Rajan, Palanivel, Fang Xu, Mi Kyoung Park, et al.. (2007). Globular and full-length forms of adiponectin mediate specific changes in glucose and fatty acid uptake and metabolism in cardiomyocytes. Cardiovascular Research. 75(1). 148–157. 94 indexed citations

6.

Madani, S., et al.. (2005). Direct effects of leptin on size and extracellular matrix components of human pediatric ventricular myocytes. Cardiovascular Research. 69(3). 716–725. 95 indexed citations

7.

Sweeney, Gary, et al.. (2005). Leptin Increases Expression and Activity of Matrix Metalloproteinase-2 and Does Not Alter Collagen Production in Rat Glomerular Mesangial Cells. Endocrine Research. 31(1). 27–37. 17 indexed citations

8.

Sweeney, Gary, Romel Somwar, Toolsie Ramlal, Pablo Martı́n-Vasallo, & Amira Klip. (1998). Insulin stimulation of K + uptake in 3T3-L1 fibroblasts involves phosphatidylinositol 3-kinase and protein kinase C-zeta. Diabetologia. 41(10). 1199–1204. 35 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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