Matthew Tudball

1.0k total citations
5 papers, 539 citations indexed

About

Matthew Tudball is a scholar working on Genetics, Statistics and Probability and Infectious Diseases. According to data from OpenAlex, Matthew Tudball has authored 5 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Statistics and Probability and 1 paper in Infectious Diseases. Recurrent topics in Matthew Tudball's work include Genetic Associations and Epidemiology (3 papers), Advanced Causal Inference Techniques (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Matthew Tudball is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Advanced Causal Inference Techniques (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Matthew Tudball collaborates with scholars based in United Kingdom, Norway and Finland. Matthew Tudball's co-authors include George Davey Smith, Neil M Davies, Kate Tilling, Giulia Mancano, Tim Morris, Luisa Zuccolo, Annie Herbert, Lindsey Pike, Gemma C. Sharp and Jonathan A C Sterne and has published in prestigious journals such as Nature Communications, Biometrika and International Journal of Epidemiology.

In The Last Decade

Matthew Tudball

5 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Tudball United Kingdom	4	207	100	78	75	74	5	539
Lindsey Pike United Kingdom	4	208 1.0×	98 1.0×	88 1.1×	36 0.5×	71 1.0×	8	500
Gareth J Griffith United Kingdom	8	225 1.1×	101 1.0×	102 1.3×	38 0.5×	77 1.0×	25	615
Saurabh Zalpuri Netherlands	14	246 1.2×	90 0.9×	78 1.0×	80 1.1×	107 1.4×	20	898
Chi‐Jeng Hsieh Taiwan	12	78 0.4×	122 1.2×	44 0.6×	75 1.0×	20 0.3×	34	673
Joshua Elliott United Kingdom	12	476 2.3×	95 0.9×	228 2.9×	173 2.3×	303 4.1×	18	1.2k
Hossein Mozafar Saadati Iran	11	102 0.5×	49 0.5×	66 0.8×	19 0.3×	19 0.3×	21	504
Yuxiang Li China	10	132 0.6×	114 1.1×	117 1.5×	14 0.2×	64 0.9×	24	671
Clareece R. Nevill United Kingdom	7	222 1.1×	131 1.3×	152 1.9×	10 0.1×	77 1.0×	18	623
John Buresh United States	7	111 0.5×	97 1.0×	84 1.1×	6 0.1×	58 0.8×	11	336
Shruti Magesh United States	4	119 0.6×	116 1.2×	114 1.5×	13 0.2×	58 0.8×	7	488

Countries citing papers authored by Matthew Tudball

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Tudball

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Tudball

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

All Works

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5 of 5 papers shown

1.

Wang, Qin, Tom G. Richardson, Eleanor Sanderson, et al.. (2022). A phenome-wide bidirectional Mendelian randomization analysis of atrial fibrillation. International Journal of Epidemiology. 51(4). 1153–1166. 25 indexed citations

2.

Tudball, Matthew, Rachael A. Hughes, Kate Tilling, Jack Bowden, & Qingyuan Zhao. (2022). Sample-constrained partial identification with application to selection bias. Biometrika. 110(2). 485–498. 1 indexed citations

3.

Howe, Laurence J, Matthew Tudball, George Davey Smith, & Neil M Davies. (2021). Interpreting Mendelian-randomization estimates of the effects of categorical exposures such as disease status and educational attainment. International Journal of Epidemiology. 51(3). 948–957. 30 indexed citations

4.

Tudball, Matthew, Jack Bowden, Rachael A. Hughes, et al.. (2021). Mendelian randomisation with coarsened exposures. Genetic Epidemiology. 45(3). 338–350. 19 indexed citations

5.

Griffith, Gareth J, Tim Morris, Matthew Tudball, et al.. (2020). Collider bias undermines our understanding of COVID-19 disease risk and severity. Nature Communications. 11(1). 5749–5749. 464 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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