M. Squires

33.6k total citations
3 papers, 3 citations indexed

About

M. Squires is a scholar working on Political Science and International Relations, Finance and Literature and Literary Theory. According to data from OpenAlex, M. Squires has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Political Science and International Relations, 1 paper in Finance and 1 paper in Literature and Literary Theory. Recurrent topics in M. Squires's work include Healthcare Policy and Management (1 paper), Mormonism, Religion, and History (1 paper) and American Constitutional Law and Politics (1 paper). M. Squires is often cited by papers focused on Healthcare Policy and Management (1 paper), Mormonism, Religion, and History (1 paper) and American Constitutional Law and Politics (1 paper). M. Squires collaborates with scholars based in China and United States. M. Squires's co-authors include Leslie P. Francis and has published in prestigious journals such as PubMed, Nineteenth-century fiction and Nineteenth-Century Fiction.

In The Last Decade

M. Squires

1 paper receiving 1 citation

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Squires China 2 2 1 1 1 1 3 3
Georǵe Grant MacCurdy 2 2 1.0× 5 4
Helena Ragg-Kirkby 2 2 1.0× 5 3
J. Barrell 2 1 1.0× 2 4
Douglas C. McMurtrie 1 1 0.5× 3 2
J. P. Grabowski Russia 1 2 2
Will Earhart 2 1 1.0× 4 3
Rupert Clendon Lodge United States 2 1 1.0× 4 3
Robert Porter 2 3 2
L Dimitrov Canada 2 4 4
William Francis Allen 1 2 2

Countries citing papers authored by M. Squires

Since Specialization
Citations

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

Fields of papers citing papers by M. Squires

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Squires

This figure shows the co-authorship network connecting the top 25 collaborators of M. Squires. A scholar is included among the top collaborators of M. Squires 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. Squires. M. Squires is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Francis, Leslie P. & M. Squires. (2019). Patient Registries and Their Governance: A Pilot Study and Recommendations. PubMed. 16(1). 43–66. 1 indexed citations
2.
Squires, M.. (1970). Far from the Madding Crowd as Modified Pastoral. Nineteenth-century fiction. 25(3). 299–326. 2 indexed citations
3.
Squires, M.. (1970). Far from the Madding Crowd as Modified Pastoral. Nineteenth-Century Fiction. 25(3). 299–326.

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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