H. J. L. Speirs

699 total citations
11 papers, 571 citations indexed

About

H. J. L. Speirs is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, H. J. L. Speirs has authored 11 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in H. J. L. Speirs's work include Ion Transport and Channel Regulation (3 papers), RNA modifications and cancer (2 papers) and Hormonal Regulation and Hypertension (2 papers). H. J. L. Speirs is often cited by papers focused on Ion Transport and Channel Regulation (3 papers), RNA modifications and cancer (2 papers) and Hormonal Regulation and Hypertension (2 papers). H. J. L. Speirs collaborates with scholars based in Australia, United Kingdom and Germany. H. J. L. Speirs's co-authors include Roger Brown, Elaine S. Marshall, Brian J. Morris, Adam Benjafield, William Y.S. Wang, Jonathan R. Seckl, Jianghui Hou, Natasha N. Kumar, Tetsuo Shioi and Kate L. Weeks and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Hypertension.

In The Last Decade

H. J. L. Speirs

11 papers receiving 565 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. J. L. Speirs Australia 10 410 142 140 91 73 11 571
Anne Debonneville Switzerland 14 472 1.2× 49 0.3× 146 1.0× 93 1.0× 55 0.8× 21 621
Weijian Shao United States 13 204 0.5× 252 1.8× 190 1.4× 93 1.0× 17 0.2× 20 507
Ganesh Pathare Germany 15 260 0.6× 27 0.2× 60 0.4× 79 0.9× 75 1.0× 22 430
Pedro San‐Cristobal Netherlands 10 521 1.3× 70 0.5× 151 1.1× 196 2.2× 32 0.4× 12 630
Bin‐Lin Song China 15 303 0.7× 90 0.6× 44 0.3× 52 0.6× 45 0.6× 23 497
Nicholas P. Meermeier United States 8 580 1.4× 84 0.6× 204 1.5× 258 2.8× 18 0.2× 9 749
Wentong Pan United States 9 224 0.5× 97 0.7× 103 0.7× 82 0.9× 50 0.7× 12 770
Maija Vaittinen Finland 15 224 0.5× 53 0.4× 107 0.8× 100 1.1× 64 0.9× 23 567
Shinjiro Kodama Japan 10 201 0.5× 61 0.4× 146 1.0× 30 0.3× 64 0.9× 22 529

Countries citing papers authored by H. J. L. Speirs

Since Specialization
Citations

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

Fields of papers citing papers by H. J. L. Speirs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. J. L. Speirs

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

All Works

11 of 11 papers shown
1.
Peters, Timothy J., Hugh J. French, Stephen Bradford, et al.. (2018). Evaluation of cross-platform and interlaboratory concordance via consensus modelling of genomic measurements. Bioinformatics. 35(4). 560–570. 11 indexed citations
2.
Palmer, Elizabeth E., H. J. L. Speirs, Peter J. Taylor, et al.. (2013). Changing interpretation of chromosomal microarray over time in a community cohort with intellectual disability. American Journal of Medical Genetics Part A. 164(2). 377–385. 33 indexed citations
3.
Lin, Ruby C.Y., Kate L. Weeks, Xiao‐Ming Gao, et al.. (2010). PI3K(p110α) Protects Against Myocardial Infarction-Induced Heart Failure. Arteriosclerosis Thrombosis and Vascular Biology. 30(4). 724–732. 144 indexed citations
4.
Speirs, H. J. L., et al.. (2009). Xylosyltransferase Gene Variants and Their Role in Essential Hypertension. American Journal of Hypertension. 22(4). 432–436. 2 indexed citations
5.
Speirs, H. J. L., et al.. (2006). XE7: A novel splicing factor that interacts with ASF/SF2 and ZNF265. Nucleic Acids Research. 34(17). 4976–4986. 19 indexed citations
6.
Speirs, H. J. L., William Y.S. Wang, Adam Benjafield, & Brian J. Morris. (2005). No association with hypertension of CLCNKB and TNFRSF1B polymorphisms at a hypertension locus on chromosome 1p36. Journal of Hypertension. 23(8). 1491–1496. 37 indexed citations
7.
Benjafield, Adam, William Y.S. Wang, H. J. L. Speirs, & Billah Morris. (2005). Genome-Wide Scan for Hypertension in Sydney Sibships: The GENIHUSS Study. American Journal of Hypertension. 18(6). 828–832. 20 indexed citations
8.
Speirs, H. J. L., et al.. (2004). Association of G-protein-coupled receptor kinase 4 haplotypes, but not HSD3B1 or PTP1B polymorphisms, with essential hypertension. Journal of Hypertension. 22(5). 931–936. 80 indexed citations
9.
Speirs, H. J. L. & Brian J. Morris. (2004). WNK4 Intron 10 Polymorphism Is Not Associated With Hypertension. Hypertension. 43(4). 766–768. 18 indexed citations
10.
Marshall, Elaine S., et al.. (2003). WNK1, a Gene within a Novel Blood Pressure Control Pathway, Tissue-Specifically Generates Radically Different Isoforms with and without a Kinase Domain. Journal of the American Society of Nephrology. 14(10). 2447–2456. 153 indexed citations
11.
Hou, Jianghui, H. J. L. Speirs, Jonathan R. Seckl, & Roger Brown. (2002). Sgk1 Gene Expression in Kidney and Its Regulation by Aldosterone. Journal of the American Society of Nephrology. 13(5). 1190–1198. 54 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

Rankless by CCL
2026