Paska A. Permana

3.4k total citations
52 papers, 2.6k citations indexed

About

Paska A. Permana is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Paska A. Permana has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 18 papers in Epidemiology and 16 papers in Molecular Biology. Recurrent topics in Paska A. Permana's work include Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Obesity, Physical Activity, Diet (9 papers). Paska A. Permana is often cited by papers focused on Adipose Tissue and Metabolism (18 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers) and Obesity, Physical Activity, Diet (9 papers). Paska A. Permana collaborates with scholars based in United States, United Kingdom and Germany. Paska A. Permana's co-authors include Clifton Bogardus, Peter D. Reaven, P. Antonio Tataranni, Christopher W. Menge, Saraswathy Nair, Leslie J. Baier, Singh Nair, Richard E. Pratley, Brian R. Walker and Robert S. Lindsay and has published in prestigious journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Paska A. Permana

52 papers receiving 2.5k citations

Peers

Paska A. Permana
Dorit Samocha‐Bonet Australia
Heidi Storgaard Denmark
Nikolaos Perakakis United States
Joyce B. Harp United States
Pedro González‐Muniesa Spain
Katherine Cianflone Canada
Per‐Anders Jansson Sweden
Jong Chul Won South Korea
Nathalie Esser Belgium
Nobuhiro Shojima Japan
Dorit Samocha‐Bonet Australia
Paska A. Permana
Citations per year, relative to Paska A. Permana Paska A. Permana (= 1×) peers Dorit Samocha‐Bonet

Countries citing papers authored by Paska A. Permana

Since Specialization
Citations

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

Fields of papers citing papers by Paska A. Permana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paska A. Permana. 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 Paska A. Permana. The network helps show where Paska A. Permana may publish in the future.

Co-authorship network of co-authors of Paska A. Permana

This figure shows the co-authorship network connecting the top 25 collaborators of Paska A. Permana. A scholar is included among the top collaborators of Paska A. Permana 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 Paska A. Permana. Paska A. Permana 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.
Pignotti, Giselle, Sonia Vega‐López, Colleen Keller, et al.. (2015). Comparison and evaluation of dietary quality between older and younger Mexican-American women. Public Health Nutrition. 18(14). 2615–2624. 8 indexed citations
2.
Records, Kathie, Colleen Keller, Dean V. Coonrod, et al.. (2014). Correlates of Depressive Symptoms After Birth for Latinas Who Are Overweight or Obese. Health Care For Women International. 36(3). 356–374. 5 indexed citations
3.
Keller, Colleen, Michael Todd, Barbara E. Ainsworth, et al.. (2013). Overweight, Obesity, and Neighborhood Characteristics among Postpartum Latinas. Journal of Obesity. 2013. 1–8. 13 indexed citations
4.
Goldfine, Allison B., P R Conlin, Florencia Halperin, et al.. (2013). A randomised trial of salsalate for insulin resistance and cardiovascular risk factors in persons with abnormal glucose tolerance. Diabetologia. 56(4). 714–723. 99 indexed citations
5.
Ainsworth, Barbara E., Colleen Keller, Stephen D. Herrmann, et al.. (2013). Physical Activity and Sedentary Behaviors in Postpartum Latinas. Medicine & Science in Sports & Exercise. 45(7). 1298–1306. 20 indexed citations
6.
Records, Kathie, Colleen Keller, Barbara E. Ainsworth, & Paska A. Permana. (2011). Instrument selection for randomized controlled trials: Why this and not that?. Contemporary Clinical Trials. 33(1). 143–150. 6 indexed citations
7.
Fawcett, Janet, et al.. (2010). Insulin metabolism in human adipocytes from subcutaneous and visceral depots. Biochemical and Biophysical Research Communications. 402(4). 762–766. 17 indexed citations
8.
Koška, J, Norbert Stefan, Séverine Dubois, et al.. (2009). mRNA concentrations of MIF in subcutaneous abdominal adipose cells are associated with adipocyte size and insulin action. International Journal of Obesity. 33(8). 842–850. 35 indexed citations
9.
Records, Kathie, Colleen Keller, Barbara E. Ainsworth, & Paska A. Permana. (2008). Overweight and Obesity in Postpartum Hispanic Women. Health Care For Women International. 29(6). 649–667. 6 indexed citations
10.
Permana, Paska A., Saraswathy Nair, & Yong‐ho Lee. (2008). Application of DNA Microarray to the Study of Human Adipose Tissue/Cells. Methods in molecular biology. 456. 141–154. 3 indexed citations
11.
Koška, Juraj, Barbora de Courten, Deborah J. Wake, et al.. (2006). 11β‐Hydroxysteroid Dehydrogenase Type 1 in Adipose Tissue and Prospective Changes in Body Weight and Insulin Resistance. Obesity. 14(9). 1515–1522. 18 indexed citations
12.
Permana, Paska A., Christopher W. Menge, & Peter D. Reaven. (2006). Macrophage-secreted factors induce adipocyte inflammation and insulin resistance. Biochemical and Biophysical Research Communications. 341(2). 507–514. 237 indexed citations
13.
Nair, Singh, Elodie Rousseau, Margaret C. Cam, et al.. (2005). Increased expression of inflammation-related genes in cultured preadipocytes/stromal vascular cells from obese compared with non-obese Pima Indians. Diabetologia. 48(9). 1784–1788. 108 indexed citations
14.
Nair, Singh, Elodie Rousseau, David B. Allison, et al.. (2005). Microarray profiling of isolated abdominal subcutaneous adipocytes from obese vs non-obese Pima Indians: increased expression of inflammation-related genes. Diabetologia. 48(9). 1776–1783. 199 indexed citations
15.
Permana, Paska A., et al.. (2004). Subcutaneous abdominal preadipocyte differentiation in vitro inversely correlates with central obesity. American Journal of Physiology-Endocrinology and Metabolism. 286(6). E958–E962. 76 indexed citations
16.
17.
Thameem, Farook, Xiaolin Yang, Paska A. Permana, et al.. (2003). Evaluation of the microsomal glutathione S-transferase 3 ( MGST3 ) locus on 1q23 as a Type 2 diabetes susceptibility gene in Pima Indians. Human Genetics. 113(4). 353–358. 17 indexed citations
18.
Permana, Paska A., Angelo Del Parigi, & P. Antonio Tataranni. (2003). Microarray gene expression profiling in obesity and insulin resistance. Nutrition. 20(1). 134–138. 19 indexed citations
19.
Yang, Xiaolin, et al.. (2002). Microarray profiling of skeletal muscle tissues from equally obese, non-diabetic insulin-sensitive and insulin-resistant Pima Indians. Diabetologia. 45(11). 1584–1593. 88 indexed citations
20.
Yang, Xiaolin, Richard E. Pratley, Leslie J. Baier, et al.. (2001). Reduced Skeletal Muscle Calpain-10 Transcript Level Is Due to a Cumulative Decrease in Major Isoforms. Molecular Genetics and Metabolism. 73(1). 111–113. 30 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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