Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A Large-Scale, Consortium-Based Genomewide Association Study of Asthma
Countries citing papers authored by Martin Farrall
Since
Specialization
Citations
This map shows the geographic impact of Martin Farrall'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 Martin Farrall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Farrall more than expected).
This network shows the impact of papers produced by Martin Farrall. 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 Martin Farrall. The network helps show where Martin Farrall may publish in the future.
Co-authorship network of co-authors of Martin Farrall
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Farrall.
A scholar is included among the top collaborators of Martin Farrall 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 Martin Farrall. Martin Farrall is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hopewell, Jemma C., Robert Clarke, Udo Seedorf, et al.. (2010). Abstract 17123: Association of Apolipoprotein(a) Isoforms With Coronary Heart Disease is Mediated Through Plasma Lipoprotein(a) Levels. Circulation. 122.1 indexed citations
5.
Mayosi, Bongani M., et al.. (2008). Genome-wide linkage analysis of electrocardiographic and echocardiographic left ventricular hypertrophy in families with hypertension. Journal of the American College of Cardiology. 51.
6.
Menzel, Stephan, Junyan Jiang, Natalie L. Silver, et al.. (2008). Individuals with a genetic shift in haematological indices. British Journal of Haematology. 141. 68–68.1 indexed citations
Vionnet, Nathalie, Michel Marre, Per‐Henrik Groop, et al.. (2006). The canosinase gene (CNDP1) is not a protection factor of diabetic nephropathy in type 1 diabetics. Diabetes & Metabolism. 32.1 indexed citations
10.
Delles, Christian, Patricia B. Munroe, Sandosh Padmanabhan, et al.. (2006). Association between variants of the human GSTM gene family and hypertension. Hypertension. 48.1 indexed citations
Padmanabhan, Sandosh, Chris Wallace, Patricia B. Munroe, et al.. (2005). Chromosome 2p shows genome wide significant linkage to of anti-hypertensive medication response in the British genetics of hypertension (BRIGHT) study.. Hypertension. 46(5). 886–886.3 indexed citations
13.
Munroe, Patricia B., Chris Wallace, Charles A. Mein, et al.. (2005). Enhanced support for linkage to chromosome 5q13.1 and hypertension in the British Genetics of Hypertension (BRIGHT) study.. Hypertension. 46(4). 892–892.1 indexed citations
14.
Mayosi, Bongani M., Bernard Keavney, Hugh Watkins, & Martin Farrall. (2002). Measured haplotype analysis of the aldosterone synthase gene and cardiac hypertrophy. Circulation. 106. 733–733.1 indexed citations
15.
Knight, Jo, Patricia B. Munroe, J Pembroke, et al.. (2001). No support for linkage of chromosome 17(q21-24) to Essential Hypertension in the MRC British Genetics of Hypertension (MRC BRIGHT) Study.. The American Journal of Human Genetics. 69. 559–559.1 indexed citations
16.
Caulfield, Mark J., J Pembroke, Patricia B. Munroe, et al.. (2000). A new tool for checks of data precision within the MRC British genetics of hypertension study. Journal of Hypertension. 18.1 indexed citations
17.
Garner, C., Thanusak Tatu, Laurence Gamé, et al.. (1999). A candidate gene study of F cell levels in sibling pairs using a joint linkage and association analysis.. Blood. 94.2 indexed citations
Scambler, Peter, G. Bell, Eila Watson, et al.. (1986). Cystic fibrosis linkage exclusion data. Cytogenetic and Genome Research. 41(1). 62–63.7 indexed citations
20.
Scambler, Peter, Martin Farrall, Jimmy D. Bell, et al.. (1985). Linkage of the Col1A2 collagen gene to cystic fibrosis. UCL Discovery (University College London).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.