Grant Maclaine

38 total papers · 826 total citations
23 papers, 500 citations indexed

About

Grant Maclaine is a scholar working on Economics and Econometrics, Surgery and Psychiatry and Mental health. According to data from OpenAlex, Grant Maclaine has authored 23 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 5 papers in Surgery and 5 papers in Psychiatry and Mental health. Recurrent topics in Grant Maclaine's work include Health Systems, Economic Evaluations, Quality of Life (7 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Grant Maclaine is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (7 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). Grant Maclaine collaborates with scholars based in United Kingdom, United States and Japan. Grant Maclaine's co-authors include Steve Blume, K. Jack Ishak, Luis Hernández, Denis Getsios, Sarah C. Smith, Donna L. Lamping, Michael J. Campbell, Sara J. Walker, Pippa Anderson and Charlotte Paterson and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Molecular Sciences and Transplantation.

In The Last Decade

Grant Maclaine

21 papers receiving 481 citations

Author Peers

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

Author Last Decade Papers Cites
Grant Maclaine 158 139 99 94 78 23 500
Peter J. Helms 84 0.5× 56 0.4× 51 0.5× 81 0.9× 67 0.9× 26 572
Antoni Sicras 129 0.8× 77 0.6× 72 0.7× 105 1.1× 82 1.1× 29 529
K Trakas 92 0.6× 149 1.1× 67 0.7× 98 1.0× 64 0.8× 15 501
Christoph Vauth 105 0.7× 85 0.6× 55 0.6× 74 0.8× 52 0.7× 30 525
Jon Clouse 127 0.8× 151 1.1× 53 0.5× 95 1.0× 53 0.7× 17 494
Steven Burch 234 1.5× 158 1.1× 39 0.4× 82 0.9× 66 0.8× 17 614
Bret Howrey 103 0.7× 108 0.8× 58 0.6× 156 1.7× 136 1.7× 26 578
Manuela Antocicco 134 0.8× 67 0.5× 74 0.7× 46 0.5× 127 1.6× 31 603
L. Parker Gregg 91 0.6× 51 0.4× 49 0.5× 45 0.5× 59 0.8× 33 540
Barbara M Rothenberg 58 0.4× 183 1.3× 104 1.1× 136 1.4× 22 0.3× 17 542

Countries citing papers authored by Grant Maclaine

Since Specialization
Citations

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

Fields of papers citing papers by Grant Maclaine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Maclaine

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