Gail Jenkins

2.3k total citations
33 papers, 1.8k citations indexed

About

Gail Jenkins is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Gail Jenkins has authored 33 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Plant Science and 6 papers in Cell Biology. Recurrent topics in Gail Jenkins's work include Genetically Modified Organisms Research (10 papers), CRISPR and Genetic Engineering (6 papers) and Skin and Cellular Biology Research (4 papers). Gail Jenkins is often cited by papers focused on Genetically Modified Organisms Research (10 papers), CRISPR and Genetic Engineering (6 papers) and Skin and Cellular Biology Research (4 papers). Gail Jenkins collaborates with scholars based in United Kingdom, United States and Germany. Gail Jenkins's co-authors include Tigst Demeke, Eric Cundliffe, Marcia J. Holden, Linda Wainwright, Wendy J. Hollands, Aedín Cassidy, Peter J. Curtis, Paul A. Kroon, Colin D. Kay and Ngianga‐Bakwin Kandala and has published in prestigious journals such as Diabetes, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Gail Jenkins

33 papers receiving 1.7k citations

Peers

Gail Jenkins
Jungseok Choi South Korea
Li He China
Ute Wölfle Germany
Hyeung‐Rak Kim South Korea
Sei‐Jung Lee South Korea
Ana I. Sancho United Kingdom
Jae Sung Hwang South Korea
Jungseok Choi South Korea
Gail Jenkins
Citations per year, relative to Gail Jenkins Gail Jenkins (= 1×) peers Jungseok Choi

Countries citing papers authored by Gail Jenkins

Since Specialization
Citations

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

Fields of papers citing papers by Gail Jenkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Jenkins

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Jenkins. A scholar is included among the top collaborators of Gail Jenkins 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 Jenkins. Gail Jenkins 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.
Pararasa, Chathyan, David J. Messenger, Karen Barrett, et al.. (2022). Lower polyunsaturated fatty acid levels and FADS2 expression in adult compared to neonatal keratinocytes are associated with FADS2 promotor hypermethylation. Biochemical and Biophysical Research Communications. 601. 9–15. 1 indexed citations
2.
Culley, Oliver J., Christina Philippeos, Bénédicte Oulès, et al.. (2021). Differential Expression of Insulin-Like Growth Factor 1 and Wnt Family Member 4 Correlates With Functional Heterogeneity of Human Dermal Fibroblasts. Frontiers in Cell and Developmental Biology. 9. 628039–628039. 5 indexed citations
3.
Purba, Talveen S., Michael Peake, Bessam Farjo, et al.. (2017). Divergent proliferation patterns of distinct human hair follicle epithelial progenitor niches in situ and their differential responsiveness to prostaglandin D2. Scientific Reports. 7(1). 15197–15197. 27 indexed citations
4.
Plauth, Annabell, Sylvia J. Wowro, Christopher Weidner, et al.. (2016). Data of oxygen- and pH-dependent oxidation of resveratrol. Data in Brief. 9. 433–437. 8 indexed citations
5.
Haslam, Iain S., Imre Szabó, Gail Jenkins, et al.. (2016). Oxidative Damage Control in a Human (Mini-) Organ: Nrf2 Activation Protects against Oxidative Stress-Induced Hair Growth Inhibition. Journal of Investigative Dermatology. 137(2). 295–304. 84 indexed citations
6.
Jenkins, Gail, Taewon Lee, Carrie L. Moland, et al.. (2016). Sex-related differential susceptibility to doxorubicin-induced cardiotoxicity in B6C3F1 mice. Toxicology and Applied Pharmacology. 310. 159–174. 34 indexed citations
7.
Vijay, Vikrant, Carrie L. Moland, Tao Han, et al.. (2016). Early transcriptional changes in cardiac mitochondria during chronic doxorubicin exposure and mitigation by dexrazoxane in mice. Toxicology and Applied Pharmacology. 295. 68–84. 26 indexed citations
8.
Plauth, Annabell, Sylvia J. Wowro, Christopher Weidner, et al.. (2016). Hormetic shifting of redox environment by pro-oxidative resveratrol protects cells against stress. Free Radical Biology and Medicine. 99. 608–622. 78 indexed citations
9.
Wakeling, Luisa, Simon Cockell, Tianhong Su, et al.. (2015). SIRT1 affects DNA methylation of polycomb group protein target genes, a hotspot of the epigenetic shift observed in ageing. Human Genomics. 9(1). 14–14. 19 indexed citations
10.
Holden, Marcia J., et al.. (2009). The use of 35S and Tnos expression elements in the measurement of genetically engineered plant materials. Analytical and Bioanalytical Chemistry. 396(6). 2175–2187. 31 indexed citations
11.
Curtis, Peter J., Paul A. Kroon, Wendy J. Hollands, et al.. (2009). Cardiovascular Disease Risk Biomarkers and Liver and Kidney Function Are Not Altered in Postmenopausal Women after Ingesting an Elderberry Extract Rich in Anthocyanins for 12 Weeks ,. Journal of Nutrition. 139(12). 2266–2271. 108 indexed citations
12.
Demeke, Tigst & Gail Jenkins. (2009). Influence of DNA extraction methods, PCR inhibitors and quantification methods on real-time PCR assay of biotechnology-derived traits. Analytical and Bioanalytical Chemistry. 396(6). 1977–1990. 286 indexed citations
13.
Jenkins, Gail, et al.. (2007). Evaluating Homogeneity of LL601 Rice in Commercial Lots Using Quantitative Real-Time PCR. Journal of Agricultural and Food Chemistry. 55(15). 6060–6066. 3 indexed citations
14.
Jenkins, Gail. (2002). Molecular mechanisms of skin ageing. Mechanisms of Ageing and Development. 123(7). 801–810. 422 indexed citations
15.
Jenkins, Gail, William H. Tolleson, Dean W. Roberts, et al.. (2000). Identification of fumonisin B1 as an inhibitor of argininosuccinate synthetase using fumonisin affinity chromatography and in vitro kinetic studies. Journal of Biochemical and Molecular Toxicology. 14(6). 320–328. 13 indexed citations
16.
Jenkins, Gail, et al.. (1999). Effect of gel re‐organization and tensional forces on α2β1 integrin levels in dermal fibroblasts. European Journal of Biochemistry. 263(1). 93–104. 31 indexed citations
17.
Granger, Stewart P., et al.. (1996). In vivo cytokine and receptor gene expression during the rat hair growth cycle. Experimental Dermatology. 5(4). 202–212. 20 indexed citations
19.
Jenkins, Gail, Magdalena Zalacaín, & Eric Cundliffe. (1989). Inducible Ribosomal RNA Methylation in Streptomyces lividans, Conferring Resistance to Lincomycin. Microbiology. 135(12). 3281–3288. 21 indexed citations
20.
Gilbert, Harry J., et al.. (1987). Evidence for multiple carboxymethylcellulase genes in Pseudomonas fluorescens subsp. cellulosa. Molecular and General Genetics MGG. 210(3). 551–556. 39 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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