Archie Campbell

27.9k total citations · 2 hit papers
94 papers, 2.9k citations indexed

About

Archie Campbell is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Archie Campbell has authored 94 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Genetics and 20 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Archie Campbell's work include Epigenetics and DNA Methylation (31 papers), Genetic Associations and Epidemiology (28 papers) and Birth, Development, and Health (19 papers). Archie Campbell is often cited by papers focused on Epigenetics and DNA Methylation (31 papers), Genetic Associations and Epidemiology (28 papers) and Birth, Development, and Health (19 papers). Archie Campbell collaborates with scholars based in United Kingdom, United States and Australia. Archie Campbell's co-authors include David J. Porteous, Caroline Hayward, Andrew M. McIntosh, Ian J. Deary, Riccardo E. Marioni, Blair H. Smith, Sandosh Padmanabhan, Kathryn L. Evans, Mark J. Adams and Rosie M. Walker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Communications.

In The Last Decade

Archie Campbell

93 papers receiving 2.9k citations

Hit Papers

Cardiac Troponin T and Troponin I in the General Population 2019 2026 2021 2023 2019 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Archie Campbell United Kingdom 31 974 709 462 361 356 94 2.9k
Ravindranath Duggirala United States 36 1.2k 1.3× 1.4k 2.0× 388 0.8× 239 0.7× 529 1.5× 116 4.4k
Alexander Teumer Germany 31 625 0.6× 613 0.9× 236 0.5× 186 0.5× 313 0.9× 107 2.6k
Andrew Wong United Kingdom 33 1.2k 1.2× 862 1.2× 213 0.5× 683 1.9× 661 1.9× 114 3.9k
Lise Bathum Denmark 30 520 0.5× 577 0.8× 272 0.6× 347 1.0× 515 1.4× 72 2.6k
Felix R. Day United Kingdom 27 1.1k 1.1× 2.3k 3.2× 255 0.6× 484 1.3× 562 1.6× 58 4.6k
Ilja Demuth Germany 34 1.7k 1.7× 348 0.5× 190 0.4× 172 0.5× 859 2.4× 170 4.1k
Aladdin H. Shadyab United States 29 427 0.4× 324 0.5× 436 0.9× 278 0.8× 787 2.2× 283 3.2k
Bernet Kato United Kingdom 27 935 1.0× 401 0.6× 221 0.5× 184 0.5× 756 2.1× 49 2.9k
John R. B. Perry United Kingdom 30 1.4k 1.4× 2.6k 3.6× 266 0.6× 491 1.4× 542 1.5× 75 5.2k
Sara Hägg Sweden 33 1.3k 1.3× 507 0.7× 215 0.5× 458 1.3× 1.5k 4.3× 135 4.2k

Countries citing papers authored by Archie Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Archie Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archie Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Archie Campbell. A scholar is included among the top collaborators of Archie Campbell 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 Archie Campbell. Archie Campbell 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.
Belsky, Daniel W., Kejun Ying, Mahdi Moqri, et al.. (2025). An unbiased comparison of 14 epigenetic clocks in relation to 174 incident disease outcomes. Nature Communications. 16(1). 11164–11164.
2.
Valo, Erkka, Anne Richmond, Stefan Mutter, et al.. (2025). Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function. Nature Communications. 16(1). 325–325. 1 indexed citations
3.
Bernabeu, Elena, Paul Yousefi, Matthew Suderman, et al.. (2025). A blood- and brain-based EWAS of smoking. Nature Communications. 16(1). 3210–3210. 1 indexed citations
4.
Mischak, Harald, Antonia Vlahou, Justyna Siwy, et al.. (2024). Multiple urinary peptides are associated with hypertension: a link to molecular pathophysiology. Journal of Hypertension. 42(8). 1331–1339. 2 indexed citations
5.
Welsh, Paul, Dorien M. Kimenai, Anoop Shah, et al.. (2023). Multiple Cardiac Biomarkers to Improve Prediction of Cardiovascular Events: Findings from the Generation Scotland Scottish Family Health Study. Clinical Chemistry. 70(2). 403–413. 6 indexed citations
6.
Sherwood, Kitty, Lynn Martin, Archie Campbell, et al.. (2023). Germline de novo mutations in families with Mendelian cancer syndromes caused by defects in DNA repair. Nature Communications. 14(1). 3636–3636. 7 indexed citations
7.
Shen, Xueyi, Claire Green, Robert F. Hillary, et al.. (2023). Structural brain correlates of childhood trauma with replication across two large, independent community-based samples. European Psychiatry. 66(1). e19–e19. 9 indexed citations
8.
Hillary, Robert F., Daniel L. McCartney, Allan F. McRae, et al.. (2022). Identification of influential probe types in epigenetic predictions of human traits: implications for microarray design. Clinical Epigenetics. 14(1). 100–100. 4 indexed citations
9.
Shenkin, Susan D., Andrew M. McIntosh, Mark E. Bastin, et al.. (2021). Early life predictors of late life cerebral small vessel disease in four prospective cohort studies. Brain. 144(12). 3769–3778. 26 indexed citations
10.
Stevenson, Anna J., Danni A. Gadd, Robert F. Hillary, et al.. (2021). Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6. The Journals of Gerontology Series A. 76(12). 2284–2292. 20 indexed citations
11.
Shen, Xueyi, Aleks Stolicyn, Laura de Nooij, et al.. (2021). Spectral clustering based on structural magnetic resonance imaging and its relationship with major depressive disorder and cognitive ability. European Journal of Neuroscience. 54(6). 6281–6303. 5 indexed citations
12.
Barbu, Miruna C., Mathew A. Harris, Xueyi Shen, et al.. (2021). Epigenome-wide association study of global cortical volumes in generation Scotland: Scottish family health study. Epigenetics. 17(10). 1143–1158. 3 indexed citations
13.
Amador, Carmen, Yanni Zeng, M. Barber, et al.. (2021). Genome-wide methylation data improves dissection of the effect of smoking on body mass index. PLoS Genetics. 17(9). e1009750–e1009750. 5 indexed citations
14.
Barbu, Miruna C., Archie Campbell, Carmen Amador, et al.. (2021). Methylome-wide association study of antidepressant use in Generation Scotland and the Netherlands Twin Register implicates the innate immune system. Molecular Psychiatry. 27(3). 1647–1657. 10 indexed citations
15.
Meng, Weihua, Cameron Harris, Maxim B. Freidin, et al.. (2020). A genome-wide association study finds genetic variants associated with neck or shoulder pain in UK Biobank. Human Molecular Genetics. 29(8). 1396–1404. 27 indexed citations
16.
Docherty, Anna R., Andrey A. Shabalin, Daniel E. Adkins, et al.. (2020). Molecular Genetic Risk for Psychosis Is Associated With Psychosis Risk Symptoms in a Population-Based UK Cohort: Findings From Generation Scotland. Schizophrenia Bulletin. 46(5). 1045–1052. 13 indexed citations
17.
McCartney, Daniel L., Rosie M. Walker, Robert F. Hillary, et al.. (2020). Birth weight associations with DNA methylation differences in an adult population. Epigenetics. 16(7). 783–796. 16 indexed citations
18.
Howard, David M., Lasse Folkersen, Jonathan R. I. Coleman, et al.. (2020). Genetic stratification of depression in UK Biobank. Translational Psychiatry. 10(1). 163–163. 17 indexed citations
19.
Thormann, Anja, Mihail Halachev, William McLaren, et al.. (2019). Flexible and scalable diagnostic filtering of genomic variants using G2P with Ensembl VEP. Nature Communications. 10(1). 2373–2373. 53 indexed citations
20.
Amador, Carmen, Charley Xia, Réka Nagy, et al.. (2017). Regional variation in health is predominantly driven by lifestyle rather than genetics. Nature Communications. 8(1). 801–801. 12 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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