Nathan S. McClure

17 total papers · 585 total citations
11 papers, 362 citations indexed

About

Nathan S. McClure is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Nathan S. McClure has authored 11 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Infectious Diseases. Recurrent topics in Nathan S. McClure's work include Health Systems, Economic Evaluations, Quality of Life (5 papers), Economic and Environmental Valuation (3 papers) and Evolution and Genetic Dynamics (2 papers). Nathan S. McClure is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (5 papers), Economic and Environmental Valuation (3 papers) and Evolution and Genetic Dynamics (2 papers). Nathan S. McClure collaborates with scholars based in Canada, United States and Singapore. Nathan S. McClure's co-authors include Jeffrey Johnson, Fatima Al Sayah, Feng Xie, Nan Luo, Troy Day, Arto Öhinmaa, Ciarán O’Neill, Luke E. Barry, Michael C. Whitlock and Haoyu Zhao and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Clinical Epidemiology and Heredity.

In The Last Decade

Nathan S. McClure

10 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Nathan S. McClure 127 64 41 39 38 11 362
J. del Llano 117 0.9× 46 0.7× 62 1.5× 48 1.2× 20 0.5× 9 366
Louese Dunn 52 0.4× 81 1.3× 41 1.0× 25 0.6× 60 1.6× 11 382
Ena Niño de Guzmán 55 0.4× 77 1.2× 52 1.3× 26 0.7× 86 2.3× 21 314
Oliver Schoeffski 104 0.8× 55 0.9× 52 1.3× 28 0.7× 30 0.8× 10 329
Amy B. LaFrance 52 0.4× 83 1.3× 43 1.0× 24 0.6× 74 1.9× 15 295
Daniele Civello 99 0.8× 86 1.3× 49 1.2× 18 0.5× 37 1.0× 13 336
S. Wahler 73 0.6× 45 0.7× 53 1.3× 27 0.7× 33 0.9× 21 300
Yu-Yin Chang 58 0.5× 43 0.7× 50 1.2× 60 1.5× 40 1.1× 12 381
Barbara A. Majeroni 53 0.4× 96 1.5× 51 1.2× 52 1.3× 74 1.9× 12 379
Christine Weeks 66 0.5× 118 1.8× 39 1.0× 45 1.2× 33 0.9× 8 337

Countries citing papers authored by Nathan S. McClure

Since Specialization
Citations

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

Fields of papers citing papers by Nathan S. McClure

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan S. McClure. 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 Nathan S. McClure. The network helps show where Nathan S. McClure may publish in the future.

Co-authorship network of co-authors of Nathan S. McClure

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan S. McClure. A scholar is included among the top collaborators of Nathan S. McClure 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 Nathan S. McClure. Nathan S. McClure 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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