Sybil M. McAleese

23 total papers · 615 total citations
22 papers, 519 citations indexed

About

Sybil M. McAleese is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sybil M. McAleese has authored 22 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sybil M. McAleese's work include Enzyme Structure and Function (3 papers), S100 Proteins and Annexins (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). Sybil M. McAleese is often cited by papers focused on Enzyme Structure and Function (3 papers), S100 Proteins and Annexins (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). Sybil M. McAleese collaborates with scholars based in United Kingdom, Italy and Netherlands. Sybil M. McAleese's co-authors include Pamela A. Knight, Tim Nuttall, Jonathan R. Lamb, Michael Goman, B.J. Kilbey, Robert G. Ridley, H. R. P. Miller, Paul B. Hill, Peter Hill and John E. Fothergill and has published in prestigious journals such as Nucleic Acids Research, Biochemical Journal and European Journal of Biochemistry.

In The Last Decade

Sybil M. McAleese

22 papers receiving 503 citations

Author Peers

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

Author Last Decade Papers Cites
Sybil M. McAleese 179 133 127 102 81 22 519
Claudia M. Trujillo‐Vargas 105 0.6× 62 0.5× 54 0.4× 229 2.2× 139 1.7× 31 574
Maria Siqueira 107 0.6× 72 0.5× 146 1.1× 214 2.1× 26 0.3× 21 571
Geoffrey Rake 164 0.9× 42 0.3× 78 0.6× 57 0.6× 19 0.2× 20 585
Eve Coulter 136 0.8× 84 0.6× 36 0.3× 94 0.9× 35 0.4× 11 483
Alberto Yairh Limón-Flores 64 0.4× 121 0.9× 49 0.4× 247 2.4× 163 2.0× 25 545
Umut Gazi 133 0.7× 38 0.3× 35 0.3× 216 2.1× 29 0.4× 26 533
Zhenze Jiang 273 1.5× 67 0.5× 26 0.2× 31 0.3× 52 0.6× 24 547
D.M. Moran 123 0.7× 99 0.7× 190 1.5× 63 0.6× 15 0.2× 33 467
Jeffrey H. Ringrose 153 0.9× 40 0.3× 96 0.8× 112 1.1× 18 0.2× 16 493
Seishiro Naito 183 1.0× 75 0.6× 76 0.6× 278 2.7× 16 0.2× 45 550

Countries citing papers authored by Sybil M. McAleese

Since Specialization
Citations

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

Fields of papers citing papers by Sybil M. McAleese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sybil M. McAleese. 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 Sybil M. McAleese. The network helps show where Sybil M. McAleese may publish in the future.

Co-authorship network of co-authors of Sybil M. McAleese

This figure shows the co-authorship network connecting the top 25 collaborators of Sybil M. McAleese. A scholar is included among the top collaborators of Sybil M. McAleese 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 Sybil M. McAleese. Sybil M. McAleese 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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