Naomi Brooks

1.6k total citations
38 papers, 1.1k citations indexed

About

Naomi Brooks is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Naomi Brooks has authored 38 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 14 papers in Molecular Biology and 11 papers in Cell Biology. Recurrent topics in Naomi Brooks's work include Muscle metabolism and nutrition (11 papers), Muscle Physiology and Disorders (10 papers) and Nutrition and Health in Aging (7 papers). Naomi Brooks is often cited by papers focused on Muscle metabolism and nutrition (11 papers), Muscle Physiology and Disorders (10 papers) and Nutrition and Health in Aging (7 papers). Naomi Brooks collaborates with scholars based in United Kingdom, South Africa and United States. Naomi Brooks's co-authors include Carmen Castaneda‐Sceppa, Ronenn Roubenoff, Jennifer E. Layne, Miriam E. Nelson, Patricia Gordon, Kathryn H. Myburgh, Trish Gorely, Josephine N. Booth, Colin N. Moran and Gregory Cloutier and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

In The Last Decade

Naomi Brooks

36 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Brooks United Kingdom 17 510 215 170 151 140 38 1.1k
Scott Drawer United Kingdom 17 476 0.9× 81 0.4× 286 1.7× 194 1.3× 44 0.3× 27 1.7k
Eugenia Murawska‐Ciałowicz Poland 19 322 0.6× 125 0.6× 65 0.4× 64 0.4× 33 0.2× 72 1.1k
Heather E. Webb United States 19 246 0.5× 62 0.3× 84 0.5× 81 0.5× 65 0.5× 45 1.1k
Robert F. Zoeller United States 28 790 1.5× 398 1.9× 653 3.8× 146 1.0× 30 0.2× 87 2.4k
Stephanie A. Schultz United States 18 439 0.9× 264 1.2× 87 0.5× 121 0.8× 246 1.8× 44 1.3k
Diane C. Adler‐Wailes United States 12 463 0.9× 290 1.3× 123 0.7× 214 1.4× 54 0.4× 15 1.3k
Luke Parkitny United States 16 469 0.9× 92 0.4× 158 0.9× 92 0.6× 179 1.3× 27 1.6k
Otto Barak Serbia 20 224 0.4× 90 0.4× 96 0.6× 67 0.4× 35 0.3× 91 1.3k
Emily Hill United Kingdom 12 264 0.5× 97 0.5× 67 0.4× 64 0.4× 74 0.5× 23 789
Alfred W. Jackson United States 6 381 0.7× 176 0.8× 78 0.5× 162 1.1× 369 2.6× 7 1.1k

Countries citing papers authored by Naomi Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Naomi Brooks. A scholar is included among the top collaborators of Naomi Brooks 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 Naomi Brooks. Naomi Brooks 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.
Frood, Russell, Brad Miles, Naomi Brooks, et al.. (2024). Comparative effectiveness of standard vs. AI-assisted PET/CT reading workflow for pre-treatment lymphoma staging: a multi-institutional reader study evaluation. SHILAP Revista de lepidopterología. 3. 1327186–1327186. 2 indexed citations
2.
Pienaar, Anita E., et al.. (2024). Global Comparisons of Age, Gender and Socioeconomic Status Differences of Physical Fitness Health Risk in South African Primary School Children: Longitudinal Data from the NW-CHILD Study. International Journal of Environmental Research and Public Health. 21(12). 1554–1554.
3.
Moran, Colin N., et al.. (2023). Salivary amylase gene (AMY1) copy number variation has only a minor correlation with body composition in Chinese adults. Genes & Genomics. 45(7). 935–943. 1 indexed citations
4.
Booth, Josephine N., et al.. (2022). The Impact of the Daily Mile™ on School Pupils’ Fitness, Cognition, and Wellbeing: Findings From Longer Term Participation. Frontiers in Psychology. 13. 812616–812616. 5 indexed citations
5.
Odunitan-Wayas, Feyisayo A., Mieke Faber, Amy E. Mendham, et al.. (2021). Food Security, Dietary Intake, and Foodways of Urban Low-Income Older South African Women: An Exploratory Study. International Journal of Environmental Research and Public Health. 18(8). 3973–3973. 7 indexed citations
6.
Mendham, Amy E., Lillemor Lundin‐Olsson, Julia H. Goedecke, et al.. (2021). Sarcopenic Obesity in Africa: A Call for Diagnostic Methods and Appropriate Interventions. Frontiers in Nutrition. 8. 661170–661170. 3 indexed citations
7.
Mendham, Amy E., Julia H. Goedecke, Lisa K. Micklesfield, et al.. (2021). Understanding factors associated with sarcopenic obesity in older African women from a low-income setting: a cross-sectional analysis. BMC Geriatrics. 21(1). 247–247. 16 indexed citations
8.
Booth, Josephine N., et al.. (2020). A citizen science study of short physical activity breaks at school: improvements in cognition and wellbeing with self-paced activity. BMC Medicine. 18(1). 62–62. 33 indexed citations
10.
Jeromson, Stewart, et al.. (2017). Skeletal muscle insulin signaling and whole‐body glucose metabolism following acute sleep restriction in healthy males. Physiological Reports. 5(23). 22 indexed citations
11.
12.
Brooks, Naomi, Samuel M. Cadena, Gregory Cloutier, et al.. (2014). Influence of Exercise on the Metabolic Profile Caused by 28 days of Bed Rest with Energy Deficit and Amino Acid Supplementation in Healthy Men. International Journal of Medical Sciences. 11(12). 1248–1257. 10 indexed citations
13.
Smith, Scott M., Carmen Castaneda‐Sceppa, Kimberly O’Brien, et al.. (2014). Calcium kinetics during bed rest with artificial gravity and exercise countermeasures. Osteoporosis International. 25(9). 2237–2244. 8 indexed citations
15.
Kendall, T. L., et al.. (2009). Effects of Chronic Overload on Muscle Hypertrophy and mTOR Signaling in Young Adult and Aged Rats. The Journals of Gerontology Series A. 64A(12). 1232–1239. 31 indexed citations
16.
Brooks, Naomi, et al.. (2009). Ageing influences myonuclear domain size differently in fast and slow skeletal muscle of rats. Acta Physiologica. 197(1). 55–63. 29 indexed citations
17.
Brooks, Naomi, Mark D. Schuenke, & Robert S. Hikida. (2009). No change in skeletal muscle satellite cells in young and aging rat soleus muscle. The Journal of Physiological Sciences. 59(6). 465–471. 21 indexed citations
18.
Brooks, Naomi, Gregory Cloutier, Samuel M. Cadena, et al.. (2008). Resistance training and timed essential amino acids protect against the loss of muscle mass and strength during 28 days of bed rest and energy deficit. Journal of Applied Physiology. 105(1). 241–248. 80 indexed citations
19.
Brooks, Naomi, Jennifer E. Layne, Patricia Gordon, et al.. (2007). Strength training improves muscle quality and insulin sensitivity in Hispanic older adults with type 2 diabetes. International Journal of Medical Sciences. 4(1). 19–27. 261 indexed citations
20.
Ferrell, William R., Jane E. Ramsay, Naomi Brooks, et al.. (2002). Elimination of Electrically Induced Iontophoretic Artefacts: Implications for Non-Invasive Assessment of Peripheral Microvascular Function. Journal of Vascular Research. 39(5). 447–455. 62 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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