Norman E. Buroker

2.0k total citations
58 papers, 1.6k citations indexed

About

Norman E. Buroker is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Norman E. Buroker has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 17 papers in Genetics and 16 papers in Physiology. Recurrent topics in Norman E. Buroker's work include Adipose Tissue and Metabolism (11 papers), High Altitude and Hypoxia (8 papers) and Mitochondrial Function and Pathology (7 papers). Norman E. Buroker is often cited by papers focused on Adipose Tissue and Metabolism (11 papers), High Altitude and Hypoxia (8 papers) and Mitochondrial Function and Pathology (7 papers). Norman E. Buroker collaborates with scholars based in United States, China and Ireland. Norman E. Buroker's co-authors include Kenneth K. Chew, William K. Hershberger, Xue-Han Ning, Patrick J. O’Hara, Andrew T. Beckenbach, James R. Brown, Michael J. Smith, W. Kelley Thomas, Michael A. Portman and M. Litt and has published in prestigious journals such as Nucleic Acids Research, Genetics and Evolution.

In The Last Decade

Norman E. Buroker

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norman E. Buroker United States 23 648 557 368 304 297 58 1.6k
Jun Yamamoto Japan 30 590 0.9× 403 0.7× 93 0.3× 246 0.8× 225 0.8× 171 2.7k
Ida G. Lunde Norway 29 928 1.4× 150 0.3× 140 0.4× 167 0.5× 292 1.0× 61 2.3k
Ryo Kimura Japan 27 686 1.1× 157 0.3× 254 0.7× 659 2.2× 370 1.2× 95 2.3k
Jennifer Goldstein United States 22 529 0.8× 555 1.0× 429 1.2× 187 0.6× 118 0.4× 48 1.7k
Michael P. Sarras United States 36 1.5k 2.3× 315 0.6× 284 0.8× 223 0.7× 120 0.4× 80 3.1k
N. Chin Lai United States 30 1.2k 1.8× 325 0.6× 215 0.6× 113 0.4× 472 1.6× 73 2.6k
Ricard Albalat Spain 23 1.3k 2.1× 319 0.6× 92 0.3× 199 0.7× 239 0.8× 65 2.1k
Janice M. Fletcher Australia 30 1.0k 1.6× 392 0.7× 866 2.4× 441 1.5× 516 1.7× 101 3.1k
Shane B. Kanatous United States 23 714 1.1× 296 0.5× 605 1.6× 104 0.3× 778 2.6× 36 2.0k
Lowell E. Davis United States 30 620 1.0× 122 0.2× 189 0.5× 85 0.3× 183 0.6× 89 2.3k

Countries citing papers authored by Norman E. Buroker

Since Specialization
Citations

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

Fields of papers citing papers by Norman E. Buroker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norman E. Buroker. 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 Norman E. Buroker. The network helps show where Norman E. Buroker may publish in the future.

Co-authorship network of co-authors of Norman E. Buroker

This figure shows the co-authorship network connecting the top 25 collaborators of Norman E. Buroker. A scholar is included among the top collaborators of Norman E. Buroker 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 Norman E. Buroker. Norman E. Buroker 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.
Buroker, Norman E., Xue‐Han Ning, Zhao-Nian Zhou, et al.. (2017). SNPs, linkage disequilibrium, and chronic mountain sickness in Tibetan Chinese. PubMed. Volume 5. 67–74. 12 indexed citations
2.
Buroker, Norman E.. (2017). SNPs, transcriptional factor binding sites and disease. 2(2). 5 indexed citations
3.
4.
Elliott, Susan, Norman E. Buroker, Jason J. Cournoyer, et al.. (2016). Pilot study of newborn screening for six lysosomal storage diseases using Tandem Mass Spectrometry. Molecular Genetics and Metabolism. 118(4). 304–309. 128 indexed citations
5.
Buroker, Norman E.. (2015). LIPA rSNPs (rs1412444 and rs2246833), Transcriptional Factor Binding Sites and Disease. 3(3). 281–294. 2 indexed citations
6.
Ning, Xue-Han, Outi Villet, Ming Ge, et al.. (2014). Optimal Protective Hypothermia in Arrested Mammalian Hearts. Therapeutic Hypothermia and Temperature Management. 5(1). 40–47. 1 indexed citations
7.
Buroker, Norman E.. (2014). Regulatory SNPs and transcriptional factor binding sites in ADRBK1, AKT3, ATF3, DIO2, TBXA2R and VEGFA. Transcription. 5(4). e964559–e964559. 24 indexed citations
8.
Buroker, Norman E.. (2013). ATF3 rSNPs, transcriptional factor binding sites and human etiology. 3(4). 253–261. 6 indexed citations
9.
Buroker, Norman E.. (2013). VEGFA rSNPs, transcriptional factor binding sites and human disease. The Journal of Physiological Sciences. 64(1). 73–76. 10 indexed citations
10.
Buroker, Norman E., et al.. (2013). VEGFA SNPs and transcriptional factor binding sites associated with high altitude sickness in Han and Tibetan Chinese at the Qinghai-Tibetan Plateau. The Journal of Physiological Sciences. 63(3). 183–193. 29 indexed citations
11.
Buroker, Norman E., et al.. (2012). AKT3, ANGPTL4, eNOS3, and VEGFA associations with high altitude sickness in Han and Tibetan Chinese at the Qinghai-Tibetan Plateau. International Journal of Hematology. 96(2). 200–213. 40 indexed citations
12.
Buroker, Norman E., Xue-Han Ning, Kui Li, et al.. (2010). Genetic associations with mountain sickness in Han and Tibetan residents at the Qinghai-Tibetan Plateau. Clinica Chimica Acta. 411(19-20). 1466–1473. 25 indexed citations
13.
Hyyti, Outi M., Aaron Olson, Ming Ge, et al.. (2008). Cardioselective dominant-negative thyroid hormone receptor (Δ337T) modulates myocardial metabolism and contractile efficiency. American Journal of Physiology-Endocrinology and Metabolism. 295(2). E420–E427. 9 indexed citations
14.
Morrish, Fionnuala, Norman E. Buroker, Ming Ge, et al.. (2006). Thyroid hormone receptor isoforms localize to cardiac mitochondrial matrix with potential for binding to receptor elements on mtDNA. Mitochondrion. 6(3). 143–148. 40 indexed citations
15.
Buroker, Norman E., Martin E. Young, Caimiao Wei, et al.. (2006). The dominant negative thyroid hormone receptor β-mutant Δ337T alters PPARα signaling in heart. American Journal of Physiology-Endocrinology and Metabolism. 292(2). E453–E460. 21 indexed citations
16.
Hyyti, Outi M., Xue-Han Ning, Norman E. Buroker, Ming Ge, & Michael A. Portman. (2005). Thyroid hormone controls myocardial substrate metabolism through nuclear receptor-mediated and rapid posttranscriptional mechanisms. American Journal of Physiology-Endocrinology and Metabolism. 290(2). E372–E379. 26 indexed citations
17.
McClure, Timothy, Martin E. Young, Heinrich Taegtmeyer, et al.. (2005). Thyroid hormone interacts with PPARα and PGC-1 during mitochondrial maturation in sheep heart. American Journal of Physiology-Heart and Circulatory Physiology. 289(5). H2258–H2264. 22 indexed citations
18.
Buroker, Norman E., James R. Brown, Patrick J. O’Hara, et al.. (1990). Length heteroplasmy of sturgeon mitochondrial DNA: an illegitimate elongation model.. Genetics. 124(1). 157–163. 241 indexed citations
19.
Brown, James R., Teresa Gilbert, David Kowbel, et al.. (1989). Nucleotide sequence of the apocytochrome B gene in white sturgeon mitochondrial DNA. Nucleic Acids Research. 17(11). 4389–4389. 30 indexed citations
20.
Buroker, Norman E., et al.. (1987). A hypervariable repeated sequence on human chromosome 1p36. Human Genetics. 77(2). 175–181. 104 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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