David A. Gunn

3.5k total citations · 1 hit paper
59 papers, 2.3k citations indexed

About

David A. Gunn is a scholar working on Dermatology, Cell Biology and Physiology. According to data from OpenAlex, David A. Gunn has authored 59 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Dermatology, 20 papers in Cell Biology and 14 papers in Physiology. Recurrent topics in David A. Gunn's work include Skin Protection and Aging (34 papers), melanin and skin pigmentation (18 papers) and Telomeres, Telomerase, and Senescence (8 papers). David A. Gunn is often cited by papers focused on Skin Protection and Aging (34 papers), melanin and skin pigmentation (18 papers) and Telomeres, Telomerase, and Senescence (8 papers). David A. Gunn collaborates with scholars based in United Kingdom, Netherlands and Germany. David A. Gunn's co-authors include P. Eline Slagboom, Andrea B. Maier, Rudi G. J. Westendorp, Anton J.M. de Craen, Diana van Heemst, Marcel P. M. Stokkel, Carolina H. Y. Ling, Mariëtte E. C. Waaijer, Kaare Christensen and Helle Rexbye and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

David A. Gunn

53 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population

2011 475 citations Carolina H. Y. Ling, Anton J.M. de Craen et al. Clinical Nutrition profile →

Peers

David A. Gunn

PHYSI

DERMA

AGING

Sang Eun Kim South Korea

Jo Knight United Kingdom

Karen L. Herbst United States

Koji Masuda Japan

Nobuyoshi Hirose Japan

Yuki Kishimoto Japan

Khalid Al-Regaiey Saudi Arabia

Eliana P. Araújo Brazil

Maha Sellami Qatar

Li He China

Sang Eun Kim South Korea

David A. Gunn

320 ×0.4

PHYSI

204 ×0.2

DERMA

125 ×0.2

660 ×1.6

105 ×0.6

AGING

Citations per year, relative to David A. Gunn David A. Gunn (= 1×) peers Sang Eun Kim

Countries citing papers authored by David A. Gunn

Since Specialization

Citations

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

Fields of papers citing papers by David A. Gunn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Gunn. 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 David A. Gunn. The network helps show where David A. Gunn may publish in the future.

Co-authorship network of co-authors of David A. Gunn

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

All Works

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20 of 20 papers shown

Davis, Andrew, et al.. (2025). SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden. Genome Medicine. 17(1). 2–2. 2 indexed citations

Villicaña, Sergio, Julia S. El-Sayed Moustafa, Amy L. Roberts, et al.. (2024). Genetic effects on the skin methylome in healthy older twins. The American Journal of Human Genetics. 111(9). 1932–1952.

Barnes, Bret, et al.. (2024). 456 Comparing the DNA methylation and transcriptomic signature of the epidermis and dermis with regards to age and the UV response. Journal of Investigative Dermatology. 144(12). S307–S307.

Ikram, M. Kamran, Maryam Kavousi, Willem Pieter Brouwer, et al.. (2024). Lifetime prevalence and associated factors of itch with skin conditions: atopic dermatitis, psoriasis and dry skin in individuals aged > 50 years. Clinical and Experimental Dermatology. 49(9). 1036–1043. 4 indexed citations

Gunn, David A., Xinrui Chen, Yaqi Li, et al.. (2024). Facial aging, cognitive impairment, and dementia risk. Alzheimer s Research & Therapy. 16(1). 245–245.

Wu, Sijie, Min Zhang, Jinxi Li, et al.. (2023). Scalp hair loss is not random across follicular units: A new insight into human hair ageing. International Journal of Cosmetic Science. 45(4). 548–555. 1 indexed citations

Cassidy, Sophie, Hugo Hiden, Simon Woodman, et al.. (2021). Exploration of Sleep as a Specific Risk Factor for Poor Metabolic and Mental Health: A UK Biobank Study of 84,404 Participants. Nature and Science of Sleep. Volume 13. 1903–1912. 27 indexed citations

Gunn, David A., Leonie C. Jacobs, Manfred Kayser, et al.. (2020). Genetics of facial telangiectasia in the Rotterdam Study: a genome‐wide association study and candidate gene approach. Journal of the European Academy of Dermatology and Venereology. 35(3). 749–754. 3 indexed citations

Tomas, Cara, Satomi Miwa, Alan Heath, et al.. (2020). Peroxisomes and pancreatic beta-cell lipo-dysfunction. Journal of Diabetes and its Complications. 35(3). 107843–107843. 1 indexed citations

10.

Gunn, David A., et al.. (2019). Basal cell carcinoma genetic susceptibility increases the rate of skin ageing: a Mendelian randomization study. Journal of the European Academy of Dermatology and Venereology. 34(1). 97–100. 6 indexed citations

11.

Hamer, Merel A., Luba M. Pardo, Leonie C. Jacobs, et al.. (2017). Lifestyle and Physiological Factors Associated with Facial Wrinkling in Men and Women. Journal of Investigative Dermatology. 137(8). 1692–1699. 27 indexed citations

12.

Waaijer, Mariëtte E. C., Rudi G. J. Westendorp, David Goldeck, et al.. (2016). Assessment of health status by molecular measures in adults ranging from middle-aged to old: Ready for clinical use?. Experimental Gerontology. 87(Pt B). 175–181. 7 indexed citations

13.

Noordam, Raymond, David A. Gunn, Cyrena C. Tomlin, et al.. (2013). Serum insulin-like growth factor 1 and facial ageing: high levels associate with reduced skin wrinkling in a cross-sectional study. British Journal of Dermatology. 168(3). 533–538. 20 indexed citations

14.

Noordam, Raymond, David A. Gunn, Cyrena C. Tomlin, et al.. (2012). Cortisol serum levels in familial longevity and perceived age: The Leiden Longevity Study. Psychoneuroendocrinology. 37(10). 1669–1675. 14 indexed citations

15.

Waaijer, Mariëtte E. C., David A. Gunn, Sharon D. Catt, et al.. (2011). Morphometric skin characteristics dependent on chronological and biological age: the Leiden Longevity Study. AGE. 34(6). 1543–1552. 22 indexed citations

16.

Ling, Carolina H. Y., Anton J.M. de Craen, P. Eline Slagboom, et al.. (2011). Accuracy of direct segmental multi-frequency bioimpedance analysis in the assessment of total body and segmental body composition in middle-aged adult population. Clinical Nutrition. 30(5). 610–615. 475 indexed citations breakdown →

17.

Mayes, Andrew E., Peter Murray, David A. Gunn, et al.. (2010). Environmental and Lifestyle Factors Associated with Perceived Facial Age in Chinese Women. PLoS ONE. 5(12). e15270–e15270. 42 indexed citations

18.

Gunn, David A., et al.. (2009). Ageing appearance in China: biophysical profile of facial skin and its relationship to perceived age. Journal of the European Academy of Dermatology and Venereology. 24(3). 341–348. 59 indexed citations

19.

Christensen, Kaare, Mikael Thinggaard, Matt McGue, et al.. (2009). Perceived age as clinically useful biomarker of ageing: cohort study. BMJ. 339(dec11 2). b5262–b5262. 137 indexed citations

20.

Gunn, David A., Peter Murray, Cyrena C. Tomlin, et al.. (2008). Perceived age as a biomarker of ageing: a clinical methodology. Biogerontology. 9(5). 357–364. 38 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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