M A Preece

42 total papers · 1.1k total citations
26 papers, 707 citations indexed

About

M A Preece is a scholar working on Clinical Biochemistry, Molecular Biology and Surgery. According to data from OpenAlex, M A Preece has authored 26 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Clinical Biochemistry, 7 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in M A Preece's work include Metabolism and Genetic Disorders (17 papers), Amino Acid Enzymes and Metabolism (6 papers) and Neonatal Health and Biochemistry (4 papers). M A Preece is often cited by papers focused on Metabolism and Genetic Disorders (17 papers), Amino Acid Enzymes and Metabolism (6 papers) and Neonatal Health and Biochemistry (4 papers). M A Preece collaborates with scholars based in United Kingdom, United States and Denmark. M A Preece's co-authors include Schuyler O. Sanderson, H. Burton, Patrick McKiernan, A. Green, A C J Hutchesson, Sarah Bundey, Anita MacDonald, Paul Gissen, Saikat Santra and Harry Willshaw and has published in prestigious journals such as Neurology, British Journal of Haematology and American Journal of Transplantation.

In The Last Decade

M A Preece

24 papers receiving 683 citations

Author Peers

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

Author Last Decade Papers Cites
M A Preece 419 269 160 145 126 26 707
Susan Winter 525 1.3× 438 1.6× 139 0.9× 161 1.1× 87 0.7× 31 857
Claude Sansaricq 602 1.4× 396 1.5× 165 1.0× 140 1.0× 176 1.4× 36 904
Peter Mamunes 259 0.6× 222 0.8× 117 0.7× 210 1.4× 65 0.5× 37 777
Corinne De Laet 317 0.8× 183 0.7× 153 1.0× 116 0.8× 139 1.1× 26 628
Karine Mention 278 0.7× 262 1.0× 174 1.1× 132 0.9× 76 0.6× 43 880
M. P. Champion 316 0.8× 297 1.1× 95 0.6× 98 0.7× 107 0.8× 17 724
John F. Nicholson 300 0.7× 267 1.0× 92 0.6× 93 0.6× 40 0.3× 27 768
Nancy Leslie 399 1.0× 316 1.2× 187 1.2× 111 0.8× 89 0.7× 24 678
W.O. Renier 324 0.8× 530 2.0× 141 0.9× 67 0.5× 78 0.6× 32 847
F Poggi 477 1.1× 402 1.5× 94 0.6× 87 0.6× 79 0.6× 22 635

Countries citing papers authored by M A Preece

Since Specialization
Citations

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

Fields of papers citing papers by M A Preece

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M A Preece

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