H. Douglas Braymer

1.6k total citations
56 papers, 1.4k citations indexed

About

H. Douglas Braymer is a scholar working on Molecular Biology, Nutrition and Dietetics and Endocrine and Autonomic Systems. According to data from OpenAlex, H. Douglas Braymer has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Nutrition and Dietetics and 14 papers in Endocrine and Autonomic Systems. Recurrent topics in H. Douglas Braymer's work include Regulation of Appetite and Obesity (14 papers), Bacterial Genetics and Biotechnology (13 papers) and Biochemical Analysis and Sensing Techniques (10 papers). H. Douglas Braymer is often cited by papers focused on Regulation of Appetite and Obesity (14 papers), Bacterial Genetics and Biotechnology (13 papers) and Biochemical Analysis and Sensing Techniques (10 papers). H. Douglas Braymer collaborates with scholars based in United States and United Kingdom. H. Douglas Braymer's co-authors include Stefany D. Primeaux, George A. Bray, A. D. Larson, T K Ross, David A. York, Joseph Fitzgibbon, Dean L. Shinabarger, E C Achberger, Xi Lin and Maria J. Barnes and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Applied and Environmental Microbiology.

In The Last Decade

H. Douglas Braymer

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Douglas Braymer United States 25 668 302 220 211 208 56 1.4k
Sylvia A. Denome United States 13 847 1.3× 196 0.6× 260 1.2× 304 1.4× 130 0.6× 16 1.8k
Giuseppina Basini Italy 29 431 0.6× 133 0.4× 239 1.1× 269 1.3× 151 0.7× 104 2.3k
Francesca Grasselli Italy 26 367 0.5× 127 0.4× 233 1.1× 211 1.0× 161 0.8× 87 1.9k
Mark P. Richards United States 29 528 0.8× 269 0.9× 88 0.4× 145 0.7× 343 1.6× 93 3.0k
Jae Hyung An South Korea 13 1.4k 2.1× 240 0.8× 61 0.3× 161 0.8× 538 2.6× 20 2.5k
Simona Bussolati Italy 25 309 0.5× 101 0.3× 221 1.0× 173 0.8× 133 0.6× 75 1.6k
Tadashi Noguchi Japan 27 1.1k 1.6× 234 0.8× 60 0.3× 201 1.0× 103 0.5× 106 2.4k
R.W. Rosebrough United States 26 356 0.5× 123 0.4× 41 0.2× 151 0.7× 137 0.7× 101 1.9k
Shail K. Chaube India 29 879 1.3× 177 0.6× 54 0.2× 176 0.8× 117 0.6× 105 2.7k
Dāvids Frīdmanis Latvia 21 477 0.7× 70 0.2× 95 0.4× 123 0.6× 257 1.2× 77 1.3k

Countries citing papers authored by H. Douglas Braymer

Since Specialization
Citations

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

Fields of papers citing papers by H. Douglas Braymer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Douglas Braymer. 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 H. Douglas Braymer. The network helps show where H. Douglas Braymer may publish in the future.

Co-authorship network of co-authors of H. Douglas Braymer

This figure shows the co-authorship network connecting the top 25 collaborators of H. Douglas Braymer. A scholar is included among the top collaborators of H. Douglas Braymer 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 H. Douglas Braymer. H. Douglas Braymer 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
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2.
Braymer, H. Douglas, et al.. (2019). Expression of neural markers of gustatory signaling are differentially altered by continuous and intermittent feeding patterns. Physiology & Behavior. 212. 112719–112719. 5 indexed citations
3.
Braymer, H. Douglas, et al.. (2017). Lingual CD36 and nutritional status differentially regulate fat preference in obesity-prone and obesity-resistant rats. Physiology & Behavior. 174. 120–127. 18 indexed citations
4.
Mouton, Alan J., et al.. (2016). The effects of high fat diet and estradiol on hypothalamic prepro-QRFP mRNA expression in female rats. Neuropeptides. 58. 103–109. 12 indexed citations
5.
Primeaux, Stefany D., H. Douglas Braymer, & George A. Bray. (2012). High Fat Diet Differentially Regulates the Expression of Olfactory Receptors in the Duodenum of Obesity-Prone and Obesity-Resistant Rats. Digestive Diseases and Sciences. 58(1). 72–76. 25 indexed citations
6.
Primeaux, Stefany D., H. Douglas Braymer, & George A. Bray. (2012). CD36 mRNA in the Gastrointestinal Tract Is Differentially Regulated by Dietary Fat Intake in Obesity-Prone and Obesity-Resistant Rats. Digestive Diseases and Sciences. 58(2). 363–370. 24 indexed citations
7.
Primeaux, Stefany D., Maria J. Barnes, H. Douglas Braymer, & George A. Bray. (2010). Sensitivity to the satiating effects of exendin 4 is decreased in obesity-prone Osborne–Mendel rats compared to obesity-resistant S5B/Pl rats. International Journal of Obesity. 34(9). 1427–1433. 22 indexed citations
8.
Primeaux, Stefany D., et al.. (2008). Central administration of the RFamide peptides, QRFP-26 and QRFP-43, increases high fat food intake in rats. Peptides. 29(11). 1994–2000. 52 indexed citations
9.
Park, MieJung, Ling Lin, H. Douglas Braymer, et al.. (2004). The F1-ATPase β-subunit is the putative enterostatin receptor. Peptides. 25(12). 2127–2133. 44 indexed citations
10.
Lin, Xi, Mark Chavez, Richard C. Bruch, et al.. (1998). The Effects of a High Fat Diet on Leptin mRNA, Serum Leptin and the Response to Leptin Are Not Altered in a Rat Strain Susceptible to High Fat Diet-Induced Obesity. Journal of Nutrition. 128(10). 1606–1613. 62 indexed citations
11.
Lin, Xi, H. Douglas Braymer, George A. Bray, & David A. York. (1998). Differential expression of insulin receptor tyrosine kinase inhibitor (fetuin) gene in a model of diet-induced obesity. Life Sciences. 63(2). 145–153. 64 indexed citations
12.
13.
Braymer, H. Douglas, et al.. (1992). Purification and N-terminal amino acid sequences of two polypeptides encoded by the mcrB gene from Escherichia coli K-12. Gene. 112(1). 97–100. 3 indexed citations
14.
Raleigh, Elisabeth A., Jack S. Benner, F R Bloom, et al.. (1991). Nomenclature relating to restriction of modified DNA in Escherichia coli. Journal of Bacteriology. 173(8). 2707–2709. 24 indexed citations
15.
Murphy, Keith E. & H. Douglas Braymer. (1990). Serratia marcescens rpr gene sensitizes Escherichia coli wild‐type, xth, and nfo strains to methyl methanesulphonate. Molecular Microbiology. 4(4). 651–655. 2 indexed citations
16.
Murphy, Keith E. & H. Douglas Braymer. (1989). Molecular cloning and characterization of a genetic region from Serratia marcescens involved in DNA repair. Molecular Microbiology. 3(2). 249–255. 5 indexed citations
17.
Newkome, George R., et al.. (1976). Isosucrose. Definitive structural assignment by spectral correlation to α,β- and α,α-sucrose octaacetates. Carbohydrate Research. 48(1). 1–11. 8 indexed citations
18.
19.
Woodward, Dow O. & H. Douglas Braymer. (1966). Purification and Properties of Neurospora Adenylosuccinase. Journal of Biological Chemistry. 241(3). 580–587. 32 indexed citations
20.
Braymer, H. Douglas. (1961). The metabolic fate of some phenolic compounds in the rat. SHAREOK (University of Oklahoma). 21(7). 1736. 1 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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