Luisa Wakeling

424 total citations
20 papers, 336 citations indexed

About

Luisa Wakeling is a scholar working on Geriatrics and Gerontology, Molecular Biology and Neuropsychology and Physiological Psychology. According to data from OpenAlex, Luisa Wakeling has authored 20 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geriatrics and Gerontology, 5 papers in Molecular Biology and 4 papers in Neuropsychology and Physiological Psychology. Recurrent topics in Luisa Wakeling's work include Sirtuins and Resveratrol in Medicine (7 papers), Aging and Gerontology Research (4 papers) and Youth Education and Societal Dynamics (3 papers). Luisa Wakeling is often cited by papers focused on Sirtuins and Resveratrol in Medicine (7 papers), Aging and Gerontology Research (4 papers) and Youth Education and Societal Dynamics (3 papers). Luisa Wakeling collaborates with scholars based in United Kingdom, Australia and Indonesia. Luisa Wakeling's co-authors include Dianne Ford, Geraldine A. Wright, Ruth A. Valentine, Simon Cockell, Kelly A. Jackson, John R. Tyson, David A. Ford, Christine Aldridge, John E. Hesketh and Goiuri Alberdi and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Medical Education.

In The Last Decade

Luisa Wakeling

20 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luisa Wakeling United Kingdom 10 98 95 80 55 52 20 336
A Chaudhuri India 10 85 0.9× 174 1.8× 26 0.3× 10 0.2× 33 0.6× 22 410
Norma J. Messier United States 7 125 1.3× 86 0.9× 10 0.1× 86 1.6× 17 0.3× 7 327
Pravin T. Goud United States 17 58 0.6× 211 2.2× 42 0.5× 11 0.2× 44 0.8× 29 1.0k
Mana Hirano Japan 9 62 0.6× 113 1.2× 18 0.2× 106 1.9× 37 0.7× 20 379
Joana Vieira Silva Portugal 16 33 0.3× 224 2.4× 25 0.3× 4 0.1× 94 1.8× 38 608
Anukul Taweechaipaisankul South Korea 14 50 0.5× 216 2.3× 28 0.3× 9 0.2× 55 1.1× 27 500
Maurizio Vitti Italy 5 65 0.7× 108 1.1× 10 0.1× 107 1.9× 23 0.4× 6 397
Haichao Wang China 9 80 0.8× 270 2.8× 8 0.1× 67 1.2× 37 0.7× 9 620
Hai‐Sheng Hao China 8 18 0.2× 141 1.5× 12 0.1× 11 0.2× 22 0.4× 10 504

Countries citing papers authored by Luisa Wakeling

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Wakeling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luisa Wakeling

This figure shows the co-authorship network connecting the top 25 collaborators of Luisa Wakeling. A scholar is included among the top collaborators of Luisa Wakeling 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 Luisa Wakeling. Luisa Wakeling 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.
Tullo, Ellen, et al.. (2023). Lost in translation: how can education about dementia be effectively integrated into medical school contexts? A realist synthesis. BMJ Open. 13(11). e077028–e077028. 3 indexed citations
2.
Tullo, Ellen, et al.. (2020). Involving older people in inclusive educational research. Journal of Aging Studies. 56. 100906–100906. 6 indexed citations
3.
Ford, Dianne, et al.. (2019). The presence and response to Zn of ZnT family mRNAs in human dental pulp. Metallomics. 11(3). 613–620. 1 indexed citations
4.
Tullo, Ellen, et al.. (2019). Impacts on older people contributing to an intergenerational course about aging. Journal of Intergenerational Relationships. 17(3). 327–339. 4 indexed citations
5.
Tullo, Ellen, et al.. (2018). THE IMPACT OF AN INTERGENERATIONAL COURSE ON THE EXPECTATIONS OF UNDERGRADUATE STUDENTS ABOUT AGING. Innovation in Aging. 2(suppl_1). 693–694. 1 indexed citations
6.
Wakeling, Luisa, et al.. (2017). Effects of age and nutritional state on the expression of gustatory receptors in the honeybee (Apis mellifera). PLoS ONE. 12(4). e0175158–e0175158. 23 indexed citations
7.
Tullo, Ellen, Laura C. Greaves, & Luisa Wakeling. (2016). Involving older people in the design, development, and delivery of an innovative module on aging for undergraduate students. Educational Gerontology. 42(10). 698–705. 10 indexed citations
8.
Tyson, John R., Kelly A. Jackson, Christine Aldridge, et al.. (2016). Zinc sensing by metal-responsive transcription factor 1 (MTF1) controls metallothionein and ZnT1 expression to buffer the sensitivity of the transcriptome response to zinc. Metallomics. 8(3). 337–343. 76 indexed citations
9.
Aziz, Sadat Abdulla, Luisa Wakeling, Satomi Miwa, et al.. (2016). Metabolic programming of a beige adipocyte phenotype by genistein. Molecular Nutrition & Food Research. 61(2). 46 indexed citations
10.
Wakeling, Luisa, Nicholas S. Jakubovics, Stephen McHanwell, & Jane Stewart. (2016). Challenging the basic sciences ‘learn and forget’ culture. Medical Education. 50(5). 578–579. 1 indexed citations
11.
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
12.
Paoli, Pier, Luisa Wakeling, Geraldine A. Wright, & Dianne Ford. (2014). The dietary proportion of essential amino acids and Sir2 influence lifespan in the honeybee. AGE. 36(3). 9649–9649. 28 indexed citations
13.
Aziz, Sadat Abdulla, Luisa Wakeling, John E. Hesketh, & Dianne Ford. (2014). Genistein promotes a gene expression profile characteristic of brown rather than white adipocytes and increases Sirt1 expression in mouse NIH3T3‐L1 cells (372.7). The FASEB Journal. 28(S1). 3 indexed citations
14.
Wakeling, Luisa, et al.. (2013). Does resveratrol act independently of SIRT1 to affect genes relevant to ageing?. Proceedings of The Nutrition Society. 72(OCE4). 1 indexed citations
15.
16.
Wakeling, Luisa, Helen Bosomworth, Daniel Swan, et al.. (2012). Effects of Sirt1 on DNA methylation and expression of genes affected by dietary restriction. AGE. 35(5). 1835–1849. 24 indexed citations
17.
Wakeling, Luisa, et al.. (2012). SIRT1‐independent epigenetic effects of resveratrol mediated through the estrogen receptor. The FASEB Journal. 26(S1). 1 indexed citations
18.
Ford, Dianne, et al.. (2011). The potential role of epigenetic responses to diet in ageing. Proceedings of The Nutrition Society. 70(3). 374–384. 27 indexed citations
19.
Alatawi, Fatema Suliman, Luisa Wakeling, John C. Mathers, John E. Hesketh, & Dianne Ford. (2010). Effects of resveratrol on histone expression in human intestinal Caco-2 cells and human breast cancer MCF-7 cells are mediated through the oestrogen receptor and oppose changes observed in ageing mouse gut. Proceedings of The Nutrition Society. 69(OCE6). 1 indexed citations
20.

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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