Ian Ford

37.7k total citations
26 papers, 1.5k citations indexed

About

Ian Ford is a scholar working on Surgery, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Ian Ford has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Genetics and 5 papers in Computational Theory and Mathematics. Recurrent topics in Ian Ford's work include Lipoproteins and Cardiovascular Health (7 papers), Genetic Associations and Epidemiology (6 papers) and Optimal Experimental Design Methods (5 papers). Ian Ford is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Genetic Associations and Epidemiology (6 papers) and Optimal Experimental Design Methods (5 papers). Ian Ford collaborates with scholars based in United Kingdom, Netherlands and Ireland. Ian Ford's co-authors include Stephen C. Davis, Kennedy R. Lees, K.W. Muir, Christos P. Kitsos, D. M. Titterington, S. D. Silvey, J. Wouter Jukema, Brendan M. Buckley, Rudi G. J. Westendorp and Peter W. Macfarlane and has published in prestigious journals such as The Lancet, PLoS ONE and Brain.

In The Last Decade

Ian Ford

26 papers receiving 1.5k citations

Peers

Ian Ford

SURGE

EPIDE

CCM

MSOR

Werner Brannath Austria

Masahiko Gosho Japan

R.L. Kennedy United Kingdom

Gordon Pledger United States

Karl Thomaseth Italy

Roy C. Milton United States

Cathy M. Helgason United States

Jie Ding China

Robert L. Hester United States

Giuseppe Micieli Italy

Werner Brannath Austria

Ian Ford

214 ×0.7

SURGE

143 ×0.6

EPIDE

91 ×0.4

CCM

334 ×1.7

1.1k ×5.6

MSOR

Citations per year, relative to Ian Ford Ian Ford (= 1×) peers Werner Brannath

Countries citing papers authored by Ian Ford

Since Specialization

Citations

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

Fields of papers citing papers by Ian Ford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ian Ford

This figure shows the co-authorship network connecting the top 25 collaborators of Ian Ford. A scholar is included among the top collaborators of Ian Ford 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 Ian Ford. Ian Ford 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

Logue, Jennifer, Sally Stewart, Jane Munro, et al.. (2015). SurgiCal Obesity Treatment Study (SCOTS): protocol for a national prospective cohort study of patients undergoing bariatric surgery in Scotland. BMJ Open. 5(5). e008106–e008106. 4 indexed citations

Trompet, Stella, Iris Postmus, P. Eline Slagboom, et al.. (2015). Non-response to (statin) therapy: the importance of distinguishing non-responders from non-adherers in pharmacogenetic studies. European Journal of Clinical Pharmacology. 72(4). 431–437. 25 indexed citations

Verschuren, Jeffrey J. W., Stella Trompet, Joris Deelen, et al.. (2013). Non-Homologous End-Joining Pathway Associated with Occurrence of Myocardial Infarction: Gene Set Analysis of Genome-Wide Association Study Data. PLoS ONE. 8(2). e56262–e56262. 16 indexed citations

Krishnadas, Rajeev, John McLean, G. David Batty, et al.. (2013). Cardio-metabolic risk factors and cortical thickness in a neurologically healthy male population: Results from the psychological, social and biological determinants of ill health (pSoBid) study. NeuroImage Clinical. 2. 646–657. 27 indexed citations

Smith, Blair H., Archie Campbell, Pamela Linksted, et al.. (2012). Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. International Journal of Epidemiology. 42(3). 689–700. 168 indexed citations

Shiffman, Dov, Stella Trompet, Judy Z. Louie, et al.. (2012). Genome-Wide Study of Gene Variants Associated with Differential Cardiovascular Event Reduction by Pravastatin Therapy. PLoS ONE. 7(5). e38240–e38240. 26 indexed citations

Trompet, Stella, Anton JM de Craen, Iris Postmus, et al.. (2011). Replication of LDL GWAs hits in PROSPER/PHASE as validation for future (pharmaco)genetic analyses. BMC Medical Genetics. 12(1). 131–131. 25 indexed citations

Freeman, Dilys J., Michele Robertson, Elizabeth A. Brown, et al.. (2011). Incident venous thromboembolic events in the Prospective Study of Pravastatin in the Elderly at Risk (PROSPER). BMC Geriatrics. 11(1). 8–8. 17 indexed citations

Welsh, Paul, Eliana Polisecki, Michele Robertson, et al.. (2009). Unraveling the Directional Link between Adiposity and Inflammation: A Bidirectional Mendelian Randomization Approach. Endocrinology. 150(12). 5650–5651. 5 indexed citations

10.

Welsh, Paul, Eliana Polisecki, Michele Robertson, et al.. (2009). Unraveling the Directional Link between Adiposity and Inflammation: A Bidirectional Mendelian Randomization Approach. The Journal of Clinical Endocrinology & Metabolism. 95(1). 93–99. 97 indexed citations

11.

Trompet, Stella, Anton J.M. de Craen, P. Eline Slagboom, et al.. (2008). Lymphotoxin-alpha C804A polymorphism is a risk factor for stroke. The PROSPER study. Experimental Gerontology. 43(8). 801–805. 7 indexed citations

12.

Trompet, Stella, Anton J.M. de Craen, P. Eline Slagboom, et al.. (2008). Genetic variation in the interleukin-1 -converting enzyme associates with cognitive function. The PROSPER study. Brain. 131(4). 1069–1077. 56 indexed citations

13.

Velupillai, Yoga N., Chris J. Packard, G. David Batty, et al.. (2008). Psychological, social and biological determinants of ill health (pSoBid): Study Protocol of a population-based study. BMC Public Health. 8(1). 126–126. 28 indexed citations

14.

Blauw, Gerard J., Michael Murphy, Stuart M. Cobbe, et al.. (1999). The design of a prospective study of pravastatin in the elderly at risk (PROSPER). The American Journal of Cardiology. 84(10). 1192–1197. 340 indexed citations

15.

Ford, Ian, D. M. Titterington, & Christos P. Kitsos. (1989). Recent Advances in Nonlinear Experimental Design. Technometrics. 31(1). 49–49. 173 indexed citations

16.

Wrona, Frederick J., Peter Calow, Ian Ford, Donald J. Baird, & Lorraine Maltby. (1986). Estimating the Abundance of Stone-dwelling Organisms: A New Method. Canadian Journal of Fisheries and Aquatic Sciences. 43(10). 2025–2035. 19 indexed citations

17.

Kerr, W. J. S. & Ian Ford. (1986). A comparison of facial form in three western european male groups. European Journal of Orthodontics. 8(2). 106–111. 13 indexed citations

18.

Critchley, Frank & Ian Ford. (1985). Interval estimation in discrimination: The multivariate normal equal covariance case. Biometrika. 72(1). 109–116. 13 indexed citations

19.

Ford, Ian & S. D. Silvey. (1980). A Sequentially Constructed Design for Estimating a Nonlinear Parametric Function. Biometrika. 67(2). 381–381. 3 indexed citations

20.

Ford, Ian. (1976). Optimal static and sequential design : a critical review. 9 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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