Sarah Mackay

32 total papers · 1.5k total citations
25 papers, 984 citations indexed

About

Sarah Mackay is a scholar working on Molecular Biology, Genetics and Paleontology. According to data from OpenAlex, Sarah Mackay has authored 25 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Paleontology. Recurrent topics in Sarah Mackay's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Sperm and Testicular Function (5 papers) and Reproductive Biology and Fertility (4 papers). Sarah Mackay is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Sperm and Testicular Function (5 papers) and Reproductive Biology and Fertility (4 papers). Sarah Mackay collaborates with scholars based in United Kingdom, United States and New Zealand. Sarah Mackay's co-authors include Alwyn Williams, Benoît Ballester, Paul Flicek, Claudia Kutter, Petra Schwalie, Dominic Schmidt, Michael D. Wilson, Celia Pilar Martinez‐Jimenez, Aileen Marshall and Stephen Watt and has published in prestigious journals such as Science, Development and Current Biology.

In The Last Decade

Sarah Mackay

24 papers receiving 952 citations

Hit Papers

Five-Vertebrate ChIP-seq ... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sarah Mackay 619 297 129 128 112 25 984
Xiaoming Zhang 439 0.7× 103 0.3× 101 0.8× 67 0.5× 46 0.4× 47 1.1k
Thomas Desvignes 487 0.8× 225 0.8× 31 0.2× 62 0.5× 52 0.5× 49 954
Yoshito Harada 754 1.2× 153 0.5× 116 0.9× 49 0.4× 37 0.3× 28 1.1k
Steve Benson 400 0.6× 72 0.2× 35 0.3× 39 0.3× 41 0.4× 24 867
Selene L. Fernández-Valverde 691 1.1× 136 0.5× 72 0.6× 171 1.3× 51 0.5× 23 1.0k
Koichi Sekiguchi 495 0.8× 133 0.4× 211 1.6× 22 0.2× 26 0.2× 46 882
Antonietta Spagnuolo 566 0.9× 170 0.6× 130 1.0× 31 0.2× 51 0.5× 44 963
D. G. Rayns 488 0.8× 64 0.2× 36 0.3× 28 0.2× 28 0.3× 31 988
Hiraku Shimada 650 1.1× 167 0.6× 25 0.2× 37 0.3× 28 0.3× 64 1.0k
Xiwen Lin 839 1.4× 373 1.3× 45 0.3× 82 0.6× 301 2.7× 26 1.2k

Countries citing papers authored by Sarah Mackay

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Mackay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Mackay

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

All Works

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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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