J Pembroke

487 total citations
8 papers, 165 citations indexed

About

J Pembroke is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, J Pembroke has authored 8 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in J Pembroke's work include Nutrition, Genetics, and Disease (2 papers), Genetic Associations and Epidemiology (2 papers) and Ion Transport and Channel Regulation (2 papers). J Pembroke is often cited by papers focused on Nutrition, Genetics, and Disease (2 papers), Genetic Associations and Epidemiology (2 papers) and Ion Transport and Channel Regulation (2 papers). J Pembroke collaborates with scholars based in United Kingdom, Switzerland and France. J Pembroke's co-authors include Mark J. Caulfield, Patricia B. Munroe, Charles A. Mein, Chris Wallace, David Clayton, Richard Dobson, John Webster, Martin Farrall, Anna F. Dominiczak and Nilesh J. Samani and has published in prestigious journals such as Hypertension, The American Journal of Human Genetics and Human Molecular Genetics.

In The Last Decade

J Pembroke

8 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J Pembroke United Kingdom	5	96	65	59	32	21	8	165
May E. Montasser United States	9	73 0.8×	38 0.6×	45 0.8×	48 1.5×	34 1.6×	23	206
Н. А. Петунина Russia	6	44 0.5×	63 1.0×	136 2.3×	23 0.7×	29 1.4×	72	232
Abiodun Onipinla United Kingdom	6	41 0.4×	58 0.9×	106 1.8×	97 3.0×	18 0.9×	8	206
Jay Gracey United Kingdom	3	65 0.7×	31 0.5×	39 0.7×	26 0.8×	8 0.4×	3	118
Mark O. Goodarzi United States	5	52 0.5×	44 0.7×	84 1.4×	22 0.7×	28 1.3×	5	195
Evelin Mariel Elia Argentina	11	86 0.9×	17 0.3×	58 1.0×	22 0.7×	43 2.0×	16	386
Tatiana Ledent France	8	83 0.9×	29 0.4×	53 0.9×	12 0.4×	64 3.0×	14	233
Jaroslava Trnovská Czechia	9	98 1.0×	28 0.4×	53 0.9×	28 0.9×	78 3.7×	25	232
E BOERWINKLE United States	9	21 0.2×	46 0.7×	53 0.9×	62 1.9×	32 1.5×	11	172
Agnès Sola France	7	41 0.4×	73 1.1×	92 1.6×	21 0.7×	36 1.7×	15	217

Countries citing papers authored by J Pembroke

Since Specialization

Citations

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

Fields of papers citing papers by J Pembroke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Pembroke

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Bell, Jordana T., Chris Wallace, Richard Dobson, et al.. (2006). Two-dimensional genome-scan identifies novel epistatic loci for essential hypertension. Human Molecular Genetics. 15(8). 1365–1374. 42 indexed citations

2.

Munroe, Patricia B., Chris Wallace, Mingzhan Xue, et al.. (2006). Increased Support for Linkage of a Novel Locus on Chromosome 5q13 for Essential Hypertension in the British Genetics of Hypertension Study. Hypertension. 48(1). 105–111. 20 indexed citations

3.

Munroe, Patricia B., Chris Wallace, Charles A. Mein, et al.. (2005). Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study.. Hypertension. 46(4). 892–892. 1 indexed citations

4.

Newhouse, Stephen, Chris Wallace, Richard Dobson, et al.. (2005). Haplotypes of the WNK1 gene associate with blood pressure variation in a severely hypertensive population from the British Genetics of Hypertension study. Human Molecular Genetics. 14(13). 1805–1814. 69 indexed citations

5.

Knight, Jo, Patricia B. Munroe, J Pembroke, & Mark J. Caulfield. (2003). Human Chromosome 17 in Essential Hypertension. Annals of Human Genetics. 67(2). 193–206. 25 indexed citations

6.

Caulfield, Mark J., Patricia B. Munroe, & J Pembroke. (2003). Genome-wide mapping of human loci for essential hypertension. ACC Current Journal Review. 12(5). 32–33. 6 indexed citations

7.

Knight, Jo, Patricia B. Munroe, J Pembroke, et al.. (2001). No support for linkage of chromosome 17(q21-24) to Essential Hypertension in the MRC British Genetics of Hypertension (MRC BRIGHT) Study.. The American Journal of Human Genetics. 69. 559–559. 1 indexed citations

8.

Caulfield, Mark J., J Pembroke, Patricia B. Munroe, et al.. (2000). A new tool for checks of data precision within the MRC British genetics of hypertension study. Journal of Hypertension. 18. 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.

Explore authors with similar magnitude of impact