B.J. Thering

418 total citations
8 papers, 353 citations indexed

About

B.J. Thering is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, B.J. Thering has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in B.J. Thering's work include Cholesterol and Lipid Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers) and Genetic and phenotypic traits in livestock (2 papers). B.J. Thering is often cited by papers focused on Cholesterol and Lipid Metabolism (2 papers), Lipid metabolism and biosynthesis (2 papers) and Genetic and phenotypic traits in livestock (2 papers). B.J. Thering collaborates with scholars based in United States, China and Italy. B.J. Thering's co-authors include Juan J. Loor, Massimo Bionaz, Anil K.G. Kadegowda, Liliana S. Piperova, R.A. Erdman, Paola Piantoni, D.E. Graugnard, G. Savoini, Mark A. McGuire and G. Invernizzi and has published in prestigious journals such as Journal of Dairy Science, British Journal Of Nutrition and Functional & Integrative Genomics.

In The Last Decade

B.J. Thering

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
B.J. Thering United States	6	173	127	110	105	71	8	353
Kristen Sejrsen Denmark	13	164 0.9×	105 0.8×	155 1.4×	137 1.3×	36 0.5×	24	492
Doaa Kirat Japan	12	144 0.8×	146 1.1×	34 0.3×	84 0.8×	34 0.5×	21	379
G. Schlegel Germany	10	187 1.1×	107 0.8×	82 0.7×	83 0.8×	32 0.5×	18	391
Sarah L. Giesy United States	13	164 0.9×	158 1.2×	49 0.4×	59 0.6×	17 0.2×	22	369
Paola Piantoni United States	15	512 3.0×	111 0.9×	159 1.4×	342 3.3×	44 0.6×	21	718
Céline Gonthier‐Guéret France	10	235 1.4×	129 1.0×	165 1.5×	79 0.8×	41 0.6×	14	453
Shixin Fu China	11	134 0.8×	113 0.9×	21 0.2×	65 0.6×	47 0.7×	26	353
M. Richard France	10	338 2.0×	60 0.5×	73 0.7×	176 1.7×	19 0.3×	34	521
Huibin Tian China	14	61 0.4×	280 2.2×	93 0.8×	132 1.3×	104 1.5×	37	497
Dale E. Bauman United States	8	254 1.5×	55 0.4×	181 1.6×	153 1.5×	42 0.6×	9	589

Countries citing papers authored by B.J. Thering

Since Specialization

Citations

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

Fields of papers citing papers by B.J. Thering

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B.J. Thering. 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 B.J. Thering. The network helps show where B.J. Thering may publish in the future.

Co-authorship network of co-authors of B.J. Thering

This figure shows the co-authorship network connecting the top 25 collaborators of B.J. Thering. A scholar is included among the top collaborators of B.J. Thering 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 B.J. Thering. B.J. Thering 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

Bionaz, Massimo, B.J. Thering, & Juan J. Loor. (2011). Fine metabolic regulation in ruminants via nutrient–gene interactions: saturated long-chain fatty acids increase expression of genes involved in lipid metabolism and immune response partly through PPAR-α activation. British Journal Of Nutrition. 107(2). 179–191. 85 indexed citations

Invernizzi, G., B.J. Thering, Mark A. McGuire, G. Savoini, & Juan J. Loor. (2010). Sustained upregulation of stearoyl-CoA desaturase in bovine mammary tissue with contrasting changes in milk fat synthesis and lipogenic gene networks caused by lipid supplements. Functional & Integrative Genomics. 10(4). 561–575. 49 indexed citations

Invernizzi, G., B.J. Thering, Massimo Bionaz, G. Savoini, & Juan J. Loor. (2010). Metabolic and signalling pathway alterations in mammary gland of cows fed saturated or unsaturated fat.. 127(1). 73–74. 1 indexed citations

Thering, B.J., D.E. Graugnard, Paola Piantoni, & Juan J. Loor. (2009). Adipose tissue lipogenic gene networks due to lipid feeding and milk fat depression in lactating cows. Journal of Dairy Science. 92(9). 4290–4300. 46 indexed citations

Kadegowda, Anil K.G., Massimo Bionaz, B.J. Thering, et al.. (2009). Identification of internal control genes for quantitative polymerase chain reaction in mammary tissue of lactating cows receiving lipid supplements. Journal of Dairy Science. 92(5). 2007–2019. 87 indexed citations

Thering, B.J., et al.. (2009). Effects of anion supplementation to low-potassium prepartum diets on macromineral status and performance of periparturient dairy cows. Journal of Dairy Science. 92(11). 5677–5691. 40 indexed citations

Thering, B.J., Massimo Bionaz, & Juan J. Loor. (2009). Long-chain fatty acid effects on peroxisome proliferator-activated receptor-α-regulated genes in Madin-Darby bovine kidney cells: Optimization of culture conditions using palmitate. Journal of Dairy Science. 92(5). 2027–2037. 42 indexed citations

Invernizzi, G., B.J. Thering, Massimo Bionaz, et al.. (2009). New insights on mammary tissue responses to dietary lipids using transcriptomics. 540–541. 3 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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