R. A. M. Case

48 total papers · 1.6k total citations
28 papers, 1.1k citations indexed

About

R. A. M. Case is a scholar working on General Health Professions, Demography and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, R. A. M. Case has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Demography and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in R. A. M. Case's work include Insurance, Mortality, Demography, Risk Management (4 papers), Primary Care and Health Outcomes (2 papers) and Occupational exposure and asthma (2 papers). R. A. M. Case is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (4 papers), Primary Care and Health Outcomes (2 papers) and Occupational exposure and asthma (2 papers). R. A. M. Case collaborates with scholars based in United Kingdom, United States and Mexico. R. A. M. Case's co-authors include James T. Pearson, David B. McDonald, Averey Lea, P. L. Bidstrup, John M. Dent, Jonathan R. Lindner, Sanjiv Kaul, W. Michael Scheld, Robert D. Abbott and J G Benstead and has published in prestigious journals such as Nature, The Lancet and Circulation.

In The Last Decade

R. A. M. Case

26 papers receiving 978 citations

Hit Papers

Tumours Of The Urinary Bl... 1954 2026 1978 2002 1954 100 200 300

Author Peers

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

Author Last Decade Papers Cites
R. A. M. Case 256 250 226 185 155 28 1.1k
Mitchell R. Zavon 123 0.5× 146 0.6× 163 0.7× 109 0.6× 114 0.7× 49 1.3k
Ruey‐Hong Wong 197 0.8× 184 0.7× 97 0.4× 72 0.4× 236 1.5× 44 1.0k
Helena Kollárová 129 0.5× 157 0.6× 233 1.0× 108 0.6× 351 2.3× 50 1.0k
Norma S. Ketchum 457 1.8× 329 1.3× 121 0.5× 76 0.4× 152 1.0× 58 1.3k
Yong-Bing Xiang 165 0.6× 99 0.4× 63 0.3× 115 0.6× 194 1.3× 33 1.2k
Carl Gibbons 140 0.5× 167 0.7× 75 0.3× 222 1.2× 81 0.5× 22 1.0k
Valérie Gaborieau 210 0.8× 251 1.0× 285 1.3× 142 0.8× 456 2.9× 39 1.5k
J. Siegel 123 0.5× 142 0.6× 101 0.4× 69 0.4× 72 0.5× 39 977
Ana María Salazar 112 0.4× 90 0.4× 407 1.8× 155 0.8× 410 2.6× 59 1.3k
Yoon‐Ok Ahn 145 0.6× 76 0.3× 218 1.0× 237 1.3× 115 0.7× 48 1.0k

Countries citing papers authored by R. A. M. Case

Since Specialization
Citations

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

Fields of papers citing papers by R. A. M. Case

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. A. M. Case

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