Sarah Finer

11.5k total citations · 2 hit papers
97 papers, 3.4k citations indexed

About

Sarah Finer is a scholar working on Political Science and International Relations, Molecular Biology and General Health Professions. According to data from OpenAlex, Sarah Finer has authored 97 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Political Science and International Relations, 9 papers in Molecular Biology and 9 papers in General Health Professions. Recurrent topics in Sarah Finer's work include Gestational Diabetes Research and Management (7 papers), Chronic Disease Management Strategies (6 papers) and Epigenetics and DNA Methylation (6 papers). Sarah Finer is often cited by papers focused on Gestational Diabetes Research and Management (7 papers), Chronic Disease Management Strategies (6 papers) and Epigenetics and DNA Methylation (6 papers). Sarah Finer collaborates with scholars based in United Kingdom, United States and Australia. Sarah Finer's co-authors include Alberto Sánchez Crespo, Gordon A. Craig, G. A. Hitman, Vardhman K. Rakyan, Panos Deloukas, Thomas A. Down, Walter M. Stern, Ana M. Valdes, Owen T McCann and Richard David Leslie and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sarah Finer

90 papers receiving 3.0k citations

Hit Papers

Human aging-associat... 1964 2026 1984 2005 2010 1964 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Finer United Kingdom 29 943 933 745 470 434 97 3.4k
Ming Lü China 35 662 0.7× 342 0.4× 594 0.8× 120 0.3× 102 0.2× 182 4.2k
Patricia A. Hurley United States 30 450 0.5× 480 0.5× 838 1.1× 346 0.7× 707 1.6× 76 5.3k
A. B. Atkinson United Kingdom 43 855 0.9× 483 0.5× 903 1.2× 260 0.6× 237 0.5× 172 8.3k
David Coleman United States 38 1.5k 1.6× 144 0.2× 772 1.0× 806 1.7× 261 0.6× 125 6.0k
Peter Thijssen Belgium 23 713 0.8× 194 0.2× 307 0.4× 193 0.4× 277 0.6× 68 1.9k
David Cesarini United States 32 377 0.4× 104 0.1× 801 1.1× 1.1k 2.4× 280 0.6× 57 3.9k
Peter Munk Christiansen Denmark 28 504 0.5× 684 0.7× 383 0.5× 188 0.4× 148 0.3× 124 2.5k
Håkan Johansson Sweden 24 1.1k 1.2× 202 0.2× 324 0.4× 231 0.5× 70 0.2× 96 5.6k
Karen Johnson United States 23 97 0.1× 1.1k 1.2× 1.1k 1.5× 50 0.1× 565 1.3× 67 4.6k
William F. Holmes United States 29 859 0.9× 210 0.2× 311 0.4× 128 0.3× 80 0.2× 68 3.1k

Countries citing papers authored by Sarah Finer

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Finer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Finer

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Finer. A scholar is included among the top collaborators of Sarah Finer 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 Sarah Finer. Sarah Finer 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.
Walter, Klaudia, Qin Huang, Juha Karjalainen, et al.. (2025). Widespread recessive effects on common diseases in a cohort of 44,000 British Pakistanis and Bangladeshis with high autozygosity. The American Journal of Human Genetics. 112(6). 1316–1329.
2.
Hodgson, Sam, Miriam Samuel, Daniel Stow, et al.. (2025). Evidence of ethnic variations in the relationships between routinely recorded clinical factors and T2D: a systematic review and meta-analysis. International Journal of Obesity. 49(10). 1929–1945.
3.
Samuel, Miriam, Sophie V. Eastwood, Caroline E Morton, et al.. (2024). Weight trends among adults with diabetes or hypertension during the COVID-19 pandemic: an observational study using OpenSAFELY. British Journal of General Practice. 74(748). e767–e776. 1 indexed citations
4.
Samuel, Miriam, Sophie V. Eastwood, Caroline E Morton, et al.. (2024). Trends in weight gain recorded in English primary care before and during the Coronavirus-19 pandemic: An observational cohort study using the OpenSAFELY platform. PLoS Medicine. 21(6). e1004398–e1004398. 5 indexed citations
6.
Magavern, Emma, Benjamin M. Jacobs, Helen R. Warren, et al.. (2023). CYP2C19 Genotype Prevalence and Association With Recurrent Myocardial Infarction in British–South Asians Treated With Clopidogrel. JACC Advances. 2(7). 100573–100573. 13 indexed citations
7.
Huang, Qin Qin, Neneh Sallah, Bhavi Trivedi, et al.. (2022). Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals. Nature Communications. 13(1). 4664–4664. 34 indexed citations
8.
Hodgson, Sam, Qin Qin Huang, Neneh Sallah, et al.. (2022). Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: A population-based cohort study. PLoS Medicine. 19(5). e1003981–e1003981. 33 indexed citations
9.
Casement, John, Sarah Finer, Dennis Lendrem, et al.. (2022). Tracking trajectories of multiple long-term conditions using dynamic patient-cluster associations. 2022 IEEE International Conference on Big Data (Big Data). 28. 4390–4399. 1 indexed citations
11.
Papoutsi, Chrysanthi, Grainne Colligan, Ann Hagell, et al.. (2019). Promises and Perils of Group Clinics for Young People Living With Diabetes: A Realist Review. Diabetes Care. 42(5). 705–712. 10 indexed citations
12.
Finer, Sarah, Khalid S. Khan, G. A. Hitman, et al.. (2011). Inadequate vitamin D status in pregnancy: evidence for supplementation. Acta Obstetricia Et Gynecologica Scandinavica. 91(2). 159–163. 9 indexed citations
13.
Bell, Christopher G., Sarah Finer, Cecilia M. Lindgren, et al.. (2010). Integrated Genetic and Epigenetic Analysis Identifies Haplotype-Specific Methylation in the FTO Type 2 Diabetes and Obesity Susceptibility Locus. PLoS ONE. 5(11). e14040–e14040. 185 indexed citations
14.
Finer, Sarah. (1999). The intermediate ages. Oxford University Press eBooks. 1 indexed citations
15.
Finer, Sarah. (1997). Empires, monarchies, and the modern state. Oxford University Press eBooks. 3 indexed citations
16.
Finer, Sarah. (1997). Ancient monarchies and empires. Oxford University Press eBooks. 1 indexed citations
17.
Finer, Sarah. (1980). Political Science: An Idiosyncratic Retrospect of a Putative Discipline. Government and Opposition. 15(3-4). 346–363. 6 indexed citations
18.
Finer, Sarah. (1973). The Political Power of Organized Labour. Government and Opposition. 8(4). 391–406. 9 indexed citations
19.
Finer, Sarah. (1958). Private industry and political power. 1 indexed citations
20.
Finer, Sarah, et al.. (1953). Local government in England and Wales. Oxford University Press eBooks. 1 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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