Aneika C. Leney

46 total papers · 1.6k total citations
29 papers, 1.1k citations indexed

About

Aneika C. Leney is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Aneika C. Leney has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 8 papers in Spectroscopy and 7 papers in Cell Biology. Recurrent topics in Aneika C. Leney's work include Protein Structure and Dynamics (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Aneika C. Leney is often cited by papers focused on Protein Structure and Dynamics (7 papers), Mass Spectrometry Techniques and Applications (7 papers) and Glycosylation and Glycoproteins Research (6 papers). Aneika C. Leney collaborates with scholars based in United Kingdom, Netherlands and United States. Aneika C. Leney's co-authors include Albert J. R. Heck, Huib Ovaa, Dris El Atmioui, Wei Wu, Sheena E. Radford, Alison E. Ashcroft, Elena N. Kitova, John S. Klassen, Aline Tschanz and Fabio Marino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Aneika C. Leney

27 papers receiving 1.1k citations

Hit Papers

Native Mass Spectrometry:... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Aneika C. Leney 799 528 136 123 84 29 1.1k
James A. Carroll 572 0.7× 780 1.5× 74 0.5× 125 1.0× 106 1.3× 33 1.3k
Daniel A. Polasky 922 1.2× 755 1.4× 80 0.6× 110 0.9× 67 0.8× 30 1.3k
Luca Signor 773 1.0× 337 0.6× 110 0.8× 45 0.4× 65 0.8× 46 1.3k
Damon I. Papac 1.0k 1.3× 514 1.0× 129 0.9× 141 1.1× 29 0.3× 39 1.5k
Gerald D. Roberts 826 1.0× 439 0.8× 83 0.6× 134 1.1× 31 0.4× 25 1.3k
Andrew J. Creese 658 0.8× 829 1.6× 165 1.2× 47 0.4× 109 1.3× 33 1.4k
Jason M. Hogan 733 0.9× 902 1.7× 78 0.6× 50 0.4× 93 1.1× 30 1.3k
James E. Vath 970 1.2× 926 1.8× 34 0.3× 96 0.8× 46 0.5× 21 1.4k
Kyle A. Brown 755 0.9× 641 1.2× 32 0.2× 99 0.8× 44 0.5× 47 1.3k
Wen Yu 753 0.9× 888 1.7× 75 0.6× 35 0.3× 45 0.5× 19 1.3k

Countries citing papers authored by Aneika C. Leney

Since Specialization
Citations

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

Fields of papers citing papers by Aneika C. Leney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aneika C. Leney. 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 Aneika C. Leney. The network helps show where Aneika C. Leney may publish in the future.

Co-authorship network of co-authors of Aneika C. Leney

This figure shows the co-authorship network connecting the top 25 collaborators of Aneika C. Leney. A scholar is included among the top collaborators of Aneika C. Leney 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 Aneika C. Leney. Aneika C. Leney 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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