John Ferguson

4.3k total citations
67 papers, 892 citations indexed

About

John Ferguson is a scholar working on Economics and Econometrics, Statistics and Probability and Genetics. According to data from OpenAlex, John Ferguson has authored 67 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 13 papers in Statistics and Probability and 10 papers in Genetics. Recurrent topics in John Ferguson's work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Advanced Causal Inference Techniques (9 papers) and Genetic Associations and Epidemiology (8 papers). John Ferguson is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (11 papers), Advanced Causal Inference Techniques (9 papers) and Genetic Associations and Epidemiology (8 papers). John Ferguson collaborates with scholars based in Ireland, United States and Canada. John Ferguson's co-authors include Martin O’Donnell, Joseph T. Chang, Yiming Zhou, Yuval Kluger, Alberto Alvarez‐Iglesias, Austin G. Stack, Judy H. Cho, Conor Judge, Liam Casserly and Matthew D. Griffin and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

John Ferguson

65 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Ferguson Ireland 17 184 139 109 103 95 67 892
Sui‐Lung Su Taiwan 18 222 1.2× 91 0.7× 58 0.5× 88 0.9× 68 0.7× 68 893
Yaqin Zhang China 12 217 1.2× 125 0.9× 139 1.3× 36 0.3× 85 0.9× 49 998
Sung‐Eun Choi South Korea 19 203 1.1× 188 1.4× 50 0.5× 72 0.7× 32 0.3× 105 1.5k
Mohamed Suliman Sweden 11 242 1.3× 91 0.7× 76 0.7× 373 3.6× 92 1.0× 25 1.0k
Zhichao Jin China 20 251 1.4× 221 1.6× 64 0.6× 35 0.3× 57 0.6× 57 1.2k
Rong Shu China 18 229 1.2× 121 0.9× 104 1.0× 262 2.5× 136 1.4× 77 996
Daniel Katz United States 21 184 1.0× 237 1.7× 65 0.6× 56 0.5× 59 0.6× 58 1.4k
Jiun‐Ruey Hu United States 15 119 0.6× 166 1.2× 55 0.5× 56 0.5× 385 4.1× 73 1.1k
Qiang Guo China 19 339 1.8× 153 1.1× 53 0.5× 40 0.4× 110 1.2× 96 1.4k
Victor Lei United States 17 152 0.8× 127 0.9× 58 0.5× 60 0.6× 66 0.7× 34 989

Countries citing papers authored by John Ferguson

Since Specialization
Citations

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

Fields of papers citing papers by John Ferguson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Ferguson

This figure shows the co-authorship network connecting the top 25 collaborators of John Ferguson. A scholar is included among the top collaborators of John Ferguson 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 John Ferguson. John Ferguson 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.
Ferguson, John, et al.. (2025). A single‐centre analysis of a biosimilar switching programme for adalimumab in inflammatory bowel disease. British Journal of Clinical Pharmacology. 91(9). 2628–2635. 1 indexed citations
2.
Ferguson, John, Alberto Álvarez, Martin Mulligan, Conor Judge, & Martin O’Donnell. (2024). Bias assessment and correction for Levin’s population attributable fraction in the presence of confounding. European Journal of Epidemiology. 39(2). 111–119. 10 indexed citations
3.
Ferguson, John, et al.. (2024). Estimating and displaying population attributable fractions using the R package: graphPAF. European Journal of Epidemiology. 39(7). 715–742. 12 indexed citations
4.
Murphy, Robert, Catriona Reddin, John Ferguson, et al.. (2023). Antiplatelet therapy and incident cognitive impairment or dementia—a systematic review and meta-analysis of randomised clinical trials. Age and Ageing. 52(10). 3 indexed citations
5.
Mulligan, Martin, Robert Murphy, Catriona Reddin, et al.. (2023). Population attributable fraction of hypertension for dementia: global, regional, and national estimates for 186 countries. EClinicalMedicine. 60. 102012–102012. 23 indexed citations
6.
Dunne, Fidelma, Christine Newman, Alberto Alvarez‐Iglesias, et al.. (2023). Early Metformin in Gestational Diabetes. JAMA. 330(16). 1547–1547. 34 indexed citations
7.
Reddin, Catriona, John Ferguson, Robert Murphy, et al.. (2023). Global mean potassium intake: a systematic review and Bayesian meta-analysis. European Journal of Nutrition. 62(5). 2027–2037. 25 indexed citations
8.
Hemani, Gibran, et al.. (2023). Review and further developments in statistical corrections for Winner’s Curse in genetic association studies. PLoS Genetics. 19(9). e1010546–e1010546. 14 indexed citations
9.
Ferguson, John, et al.. (2022). Pathway-specific population attributable fractions. International Journal of Epidemiology. 51(6). 1957–1969. 8 indexed citations
10.
Ferguson, John, Charles R. Pedlar, Andrew J. Simpkin, et al.. (2021). A comparison of methods to generate adaptive reference ranges in longitudinal monitoring. PLoS ONE. 16(2). e0247338–e0247338. 6 indexed citations
11.
Ferguson, John. (2021). Bayesian interpretation of p values in clinical trials. BMJ evidence-based medicine. 27(5). 313–316. 4 indexed citations
12.
Ferguson, John, Fabrizio Maturo, Salim Yusuf, & Martin O’Donnell. (2020). Population attributable fractions for continuously distributed exposures. 9(1). 10 indexed citations
13.
Ferguson, John, et al.. (2020). Revisiting sequential attributable fractions. Archives of Public Health. 78(1). 67–67. 7 indexed citations
14.
Ferguson, John, Neil O’Leary, Fabrizio Maturo, Salim Yusuf, & Martin O’Donnell. (2019). Graphical comparisons of relative disease burden across multiple risk factors. BMC Medical Research Methodology. 19(1). 186–186. 8 indexed citations
15.
Judge, Conor, Maria Costello, Robert Murphy, et al.. (2019). Lipid Lowering Therapy, Low-Density Lipoprotein Level and Risk of Intracerebral Hemorrhage – A Meta-Analysis. Journal of Stroke and Cerebrovascular Diseases. 28(6). 1703–1709. 27 indexed citations
16.
Ferguson, John, Alberto Alvarez‐Iglesias, John Newell, John Hinde, & Martin O’Donnell. (2016). Estimating average attributable fractions with confidence intervals for cohort and case–control studies. Statistical Methods in Medical Research. 27(4). 1141–1152. 29 indexed citations
17.
Elsayed, Mohamed, John Ferguson, & Austin G. Stack. (2015). Association of Height with Elevated Mortality Risk in ESRD. Journal of the American Society of Nephrology. 27(2). 580–593. 6 indexed citations
18.
Gathungu, Grace, Mi‐Ok Kim, John Ferguson, et al.. (2013). Granulocyte–Macrophage Colony-Stimulating Factor Autoantibodies. Inflammatory Bowel Diseases. 19(8). 1671–1680. 59 indexed citations
19.
Ferguson, John, Judy H. Cho, & Hongyu Zhao. (2012). A New Approach for the Joint Analysis of Multiple Chip-Seq Libraries with Application to Histone Modification. Statistical Applications in Genetics and Molecular Biology. 11(3). Article 1–Article 1. 11 indexed citations
20.
Zhang, Wei, John Ferguson, Sok Meng Evelyn Ng, et al.. (2012). Effector CD4+ T Cell Expression Signatures and Immune-Mediated Disease Associated Genes. PLoS ONE. 7(6). e38510–e38510. 15 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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