Gail Clement

2.3k total citations
9 papers, 291 citations indexed

About

Gail Clement is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Gail Clement has authored 9 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Gail Clement's work include Genetic Associations and Epidemiology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Heart Rate Variability and Autonomic Control (1 paper). Gail Clement is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Heart Rate Variability and Autonomic Control (1 paper). Gail Clement collaborates with scholars based in United Kingdom, United States and Netherlands. Gail Clement's co-authors include Tim D. Spector, Lynn Cherkas, Raj Gill, Elizabeth T. Cirulli, Erin L. Heinzen, Greg Gibson, Jessica M. Maia, David B. Goldstein, Deborah K. Attix and Dongliang Ge and has published in prestigious journals such as PLoS ONE, CHEST Journal and Human Molecular Genetics.

In The Last Decade

Gail Clement

9 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gail Clement United Kingdom	7	90	87	39	33	30	9	291
Yiping Chen China	8	51 0.6×	63 0.7×	32 0.8×	17 0.5×	20 0.7×	13	278
D Fonzo Italy	12	48 0.5×	54 0.6×	10 0.3×	16 0.5×	34 1.1×	34	425
Masahiro Ochi Japan	12	35 0.4×	44 0.5×	30 0.8×	50 1.5×	100 3.3×	19	477
Stefano Marconi Italy	12	100 1.1×	114 1.3×	10 0.3×	16 0.5×	53 1.8×	19	556
Larry R. Laufer United States	10	237 2.6×	72 0.8×	7 0.2×	48 1.5×	21 0.7×	13	751
Xiu-Juan Yan China	11	20 0.2×	62 0.7×	8 0.2×	20 0.6×	76 2.5×	24	295
Kirsten Blanco United States	8	109 1.2×	71 0.8×	29 0.7×	16 0.5×	51 1.7×	10	405
Sung-Sen Yang Taiwan	11	26 0.3×	201 2.3×	15 0.4×	10 0.3×	8 0.3×	21	362
Xiangqun Shi China	8	31 0.3×	55 0.6×	11 0.3×	12 0.4×	32 1.1×	17	264
G. Staumont France	14	62 0.7×	24 0.3×	14 0.4×	89 2.7×	131 4.4×	36	726

Countries citing papers authored by Gail Clement

Since Specialization

Citations

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

Fields of papers citing papers by Gail Clement

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Clement

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

All Works

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9 of 9 papers shown

1.

Menni, Cristina, Massimo Mangino, Feng Zhang, et al.. (2013). Heritability analyses show visit-to-visit blood pressure variability reflects different pathological phenotypes in younger and older adults. Journal of Hypertension. 31(12). 2356–2361. 21 indexed citations

2.

Rahmioğlu, Nilüfer, James Heaton, Gail Clement, et al.. (2012). Genome-wide association study reveals a complex genetic architecture underpinning-induced CYP3A4 enzyme activity. European Journal of Drug Metabolism and Pharmacokinetics. 38(1). 63–67. 6 indexed citations

3.

Rahmioğlu, Nilüfer, James Heaton, Gail Clement, et al.. (2011). Genetic epidemiology of induced CYP3A4 activity. Pharmacogenetics and Genomics. 21(10). 642–651. 51 indexed citations

4.

Andrew, Toby, Cassandra Calloway, Sarah Stuart, et al.. (2011). A Twin Study of Mitochondrial DNA Polymorphisms Shows that Heteroplasmy at Multiple Sites Is Associated with mtDNA Variant 16093 but Not with Zygosity. PLoS ONE. 6(8). e22332–e22332. 18 indexed citations

5.

Cotlarciuc, Ioana, Toby Andrew, Tracy Dew, et al.. (2011). The Basis of Differential Responses to Folic Acid Supplementation. Lifestyle Genomics. 4(2). 99–109. 8 indexed citations

6.

Need, Anna C., Deborah K. Attix, Elizabeth T. Cirulli, et al.. (2009). A genome-wide study of common SNPs and CNVs in cognitive performance in the CANTAB. Human Molecular Genetics. 18(23). 4650–4661. 105 indexed citations

7.

Spector, Tim D., M. Calomme, Simon H. Anderson, et al.. (2008). Choline-stabilized orthosilicic acid supplementation as an adjunct to Calcium/Vitamin D3 stimulates markers of bone formation in osteopenic females: a randomized, placebo-controlled trial. BMC Musculoskeletal Disorders. 9(1). 85–85. 58 indexed citations

8.

Zhai, Guangju, Ana M. Valdes, Lynn Cherkas, et al.. (2007). The Interaction of Genes and Smoking on Forced Expiratory Volume. CHEST Journal. 132(6). 1772–1777. 20 indexed citations

9.

Pricolo, Victor E., et al.. (1982). Experimental study on bladder Wall's strain in vesical function. Urological Research. 10(6). 285–91. 4 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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