R. Taylor Pickering

487 total citations
23 papers, 370 citations indexed

About

R. Taylor Pickering is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics. According to data from OpenAlex, R. Taylor Pickering has authored 23 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Nutrition and Dietetics. Recurrent topics in R. Taylor Pickering's work include Nutritional Studies and Diet (8 papers), Adipose Tissue and Metabolism (6 papers) and Diet and metabolism studies (5 papers). R. Taylor Pickering is often cited by papers focused on Nutritional Studies and Diet (8 papers), Adipose Tissue and Metabolism (6 papers) and Diet and metabolism studies (5 papers). R. Taylor Pickering collaborates with scholars based in United States, Denmark and Spain. R. Taylor Pickering's co-authors include Laura Ortinau, James W. Perfield, Martha R. Singer, Mi‐Jeong Lee, Lynn L. Moore, R. Scott Rector, Kelly L. Stromsdorfer, Vishwajeet Puri, M. Loring Bradlee and Meghan L. Ruebel and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

R. Taylor Pickering

20 papers receiving 362 citations

Peers

R. Taylor Pickering

PHYSI

EPIDE

BIOCH

Martyn R. Field Ireland

Matthew Neville United Kingdom

Miriam Jácome-Sosa United States

Filipa Carvalho Portugal

Siôn Parry United Kingdom

Aoife A. Cooke Ireland

Simona Stan Canada

Steven Hamley Australia

Steve M. Watkins United States

Justine M. Tishinsky Canada

Martyn R. Field Ireland

R. Taylor Pickering

154 ×0.9

PHYSI

84 ×0.8

EPIDE

108 ×1.4

54 ×0.8

26 ×0.4

BIOCH

Citations per year, relative to R. Taylor Pickering R. Taylor Pickering (= 1×) peers Martyn R. Field

Countries citing papers authored by R. Taylor Pickering

Since Specialization

Citations

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

Fields of papers citing papers by R. Taylor Pickering

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Taylor Pickering. 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 R. Taylor Pickering. The network helps show where R. Taylor Pickering may publish in the future.

Co-authorship network of co-authors of R. Taylor Pickering

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

All Works

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20 of 20 papers shown

Pickering, R. Taylor, et al.. (2025). Increased insulin resistance following switch from efavirenz to cobicistat-boosted elvitegravir. Antiviral Therapy. 30(1). 232040331–232040331.

Long, Michelle T., et al.. (2024). Eggs, Dietary Choline, and Nonalcoholic Fatty Liver Disease in the Framingham Heart Study. Journal of Nutrition. 155(3). 923–935. 2 indexed citations

Singer, Martha R., et al.. (2022). Saturated fat from dairy sources is associated with lower cardiometabolic risk in the Framingham Offspring Study. American Journal of Clinical Nutrition. 116(6). 1682–1692. 14 indexed citations

Pickering, R. Taylor, et al.. (2022). Potato consumption is not associated with cardiometabolic health outcomes in Framingham Offspring Study adults. Journal of Nutritional Science. 11. e73–e73. 12 indexed citations

Pickering, R. Taylor, M. Loring Bradlee, Martha R. Singer, & Lynn L. Moore. (2021). Higher Intakes of Potassium and Magnesium, but Not Lower Sodium, Reduce Cardiovascular Risk in the Framingham Offspring Study. Nutrients. 13(1). 269–269. 18 indexed citations

Pickering, R. Taylor, et al.. (2021). Potato consumption is not associated with elevated cardiometabolic risk in adolescent girls. British Journal Of Nutrition. 128(3). 521–530. 4 indexed citations

Pickering, R. Taylor, et al.. (2020). Animal protein intake reduces risk of functional impairment and strength loss in older adults. Clinical Nutrition. 40(3). 919–927. 17 indexed citations

Pickering, R. Taylor, M. Loring Bradlee, Martha R. Singer, & Lynn L. Moore. (2020). Baseline diet modifies the effects of dietary change. British Journal Of Nutrition. 123(8). 951–958. 5 indexed citations

Pickering, R. Taylor, et al.. (2020). Abstract MP55: Protein Intake is Associated With Lower Risk of Type 2 Diabetes in the Framingham Offspring Study. Circulation. 141(Suppl_1). 1 indexed citations

10.

Pickering, R. Taylor, et al.. (2020). Potato Consumption Is Not Associated with Cardiometabolic Risk in Adolescent Girls. Current Developments in Nutrition. 4. nzaa061_134–nzaa061_134. 1 indexed citations

11.

Pickering, R. Taylor, et al.. (2018). Dietary Cholesterol Intake Is Not Associated with Risk of Type 2 Diabetes in the Framingham Offspring Study. Nutrients. 10(6). 665–665. 13 indexed citations

12.

Singer, Martha R., et al.. (2018). Dietary Cholesterol, Lipid Levels, and Cardiovascular Risk among Adults with Diabetes or Impaired Fasting Glucose in the Framingham Offspring Study. Nutrients. 10(6). 770–770. 9 indexed citations

13.

Lee, Mi‐Jeong, R. Taylor Pickering, Yuanyuan Wu, et al.. (2018). Impaired Glucocorticoid Suppression of TGFβ Signaling in Human Omental Adipose Tissues Limits Adipogenesis and May Promote Fibrosis. Diabetes. 68(3). 587–597. 21 indexed citations

14.

Pickering, R. Taylor, et al.. (2016). SECRETORY FACTORS PRODUCED BY STROMAL CULTURES OF HUMAN OMENTAL ADIPOSE TISSUE INHIBIT ADIPOSE DIFFERENTIATION. The FASEB Journal. 30(S1). 1 indexed citations

15.

Pickering, R. Taylor, Mi‐Jeong Lee, Kalypso Karastergiou, Adam C. Gower, & Susan K. Fried. (2016). Depot Dependent Effects of Dexamethasone on Gene Expression in Human Omental and Abdominal Subcutaneous Adipose Tissues from Obese Women. PLoS ONE. 11(12). e0167337–e0167337. 18 indexed citations

16.

Singh, Maneet, Mi‐Jeong Lee, R. Taylor Pickering, et al.. (2014). Fat-specific Protein 27 Inhibits Lipolysis by Facilitating the Inhibitory Effect of Transcription Factor Egr1 on Transcription of Adipose Triglyceride Lipase. Journal of Biological Chemistry. 289(21). 14481–14487. 49 indexed citations

17.

Ortinau, Laura, et al.. (2013). Sterculic Oil, a natural inhibitor of SCD1, improves the metabolic state of obese OLETF rats. Obesity. 21(2). 344–352. 21 indexed citations

18.

Lee, Mi‐Jeong, R. Taylor Pickering, & Vishwajeet Puri. (2013). Prolonged efficiency of siRNA‐mediated gene silencing in primary cultures of human preadipocytes and adipocytes. Obesity. 22(4). 1064–1069. 16 indexed citations

19.

Perfield, James W., Laura Ortinau, R. Taylor Pickering, et al.. (2013). Altered Hepatic Lipid Metabolism Contributes to Nonalcoholic Fatty Liver Disease in Leptin-Deficient Ob/Ob Mice. Journal of Obesity. 2013. 1–8. 67 indexed citations

20.

Ortinau, Laura, R. Taylor Pickering, Kelly L. Stromsdorfer, et al.. (2012). Sterculic Oil, a Natural SCD1 Inhibitor, Improves Glucose Tolerance in Obese ob/ob Mice. PubMed. 2012. 1–11. 22 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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