Liam Abbott

2.8k total citations
3 papers, 37 citations indexed

About

Liam Abbott is a scholar working on Genetics, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Liam Abbott has authored 3 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Infectious Diseases and 1 paper in Molecular Biology. Recurrent topics in Liam Abbott's work include Genetic Associations and Epidemiology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Liam Abbott is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Genetic and phenotypic traits in livestock (2 papers). Liam Abbott collaborates with scholars based in United States and United Kingdom. Liam Abbott's co-authors include Wei Zhou, Masahiro Kanai, Benjamin M. Neale, Cotton Seed, Alex Bloemendal, Nikolas Baya, Claire Churchhouse, Daniel King, Emilie M. Wigdor and Duncan S. Palmer and has published in prestigious journals such as Science, PLoS Computational Biology and Nature Human Behaviour.

In The Last Decade

Liam Abbott

3 papers receiving 37 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liam Abbott United States	3	20	11	5	4	4	3	37
Svetlana Turcan Moldova	3	10 0.5×	10 0.9×	4 0.8×	7 1.8×	4 1.0×	7	30
Nikolas Baya United Kingdom	4	47 2.4×	16 1.5×	5 1.0×	4 1.0×	3 0.8×	7	67
Mattia Cordioli Finland	3	27 1.4×	13 1.2×	2 0.4×	4 1.0×		4	49
Ingrid Salvary United Kingdom	3	14 0.7×	11 1.0×	4 0.8×	4 1.0×	3 0.8×	3	35
Hiroya Nishida Australia	6	8 0.4×	6 0.5×	12 2.4×	9 2.3×	2 0.5×	14	49
Jiwoo Lee United States	4	13 0.7×	9 0.8×		4 1.0×	3 0.8×	10	36
Ben Butler-Cole United Kingdom	3	6 0.3×	8 0.7×	6 1.2×	3 0.8×	8 2.0×	5	35
Alyna Khan United States	2	30 1.5×	9 0.8×		4 1.0×	2 0.5×	2	50
Ranran Zhai China	3	10 0.5×	13 1.2×	7 1.4×	6 1.5×		5	34
Onur Özer Germany	3	10 0.5×	6 0.5×	3 0.6×		2 0.5×	5	19

Countries citing papers authored by Liam Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Liam Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liam Abbott

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

All Works

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3 of 3 papers shown

1.

Carey, Caitlin E., Rebecca Shafee, Robbee Wedow, et al.. (2024). Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation. Nature Human Behaviour. 8(8). 1599–1615. 8 indexed citations

2.

Palmer, Duncan S., Wei Zhou, Liam Abbott, et al.. (2023). Analysis of genetic dominance in the UK Biobank. Science. 379(6639). 1341–1348. 23 indexed citations

3.

Vargas, Roger, et al.. (2023). Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment. PLoS Computational Biology. 19(7). e1010770–e1010770. 6 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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