C. A. Macías-Chapula

37 total papers · 941 total citations
29 papers, 600 citations indexed

About

C. A. Macías-Chapula is a scholar working on General Health Professions, Health and Infectious Diseases. According to data from OpenAlex, C. A. Macías-Chapula has authored 29 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in General Health Professions, 5 papers in Health and 4 papers in Infectious Diseases. Recurrent topics in C. A. Macías-Chapula's work include Public Health and Social Inequalities (5 papers), Health Sciences Research and Education (4 papers) and HIV/AIDS Research and Interventions (4 papers). C. A. Macías-Chapula is often cited by papers focused on Public Health and Social Inequalities (5 papers), Health Sciences Research and Education (4 papers) and HIV/AIDS Research and Interventions (4 papers). C. A. Macías-Chapula collaborates with scholars based in Mexico, Spain and United Kingdom. C. A. Macías-Chapula's co-authors include N. Narváez-Berthelemot and G. García‐Hernández and has published in prestigious journals such as Scientometrics, Journal of Information Science and Revista Panamericana de Salud Pública.

In The Last Decade

C. A. Macías-Chapula

29 papers receiving 552 citations

Hit Papers

O papel da informetria e ... 1998 2026 2007 2016 1998 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
C. A. Macías-Chapula 156 110 103 91 85 29 600
Rogério Mugnaini 122 0.8× 160 1.5× 110 1.1× 181 2.0× 30 0.4× 45 500
Reinaldo Guimarães 55 0.4× 67 0.6× 38 0.4× 47 0.5× 155 1.8× 43 561
Jeffrey Brainard 105 0.7× 21 0.2× 55 0.5× 137 1.5× 40 0.5× 81 571
Nelius Boshoff 32 0.2× 45 0.4× 63 0.6× 157 1.7× 58 0.7× 32 523
Johann Mouton 56 0.4× 64 0.6× 39 0.4× 109 1.2× 144 1.7× 49 651
J. Britt Holbrook 160 1.0× 38 0.3× 42 0.4× 122 1.3× 60 0.7× 46 593
Charles C. Hinnant 128 0.8× 150 1.4× 81 0.8× 34 0.4× 151 1.8× 24 558
Bart Penders 82 0.5× 22 0.2× 42 0.4× 71 0.8× 33 0.4× 69 593
Catherine P. Slade 53 0.3× 86 0.8× 37 0.4× 124 1.4× 70 0.8× 28 692
Guangyuan Hu 74 0.5× 45 0.4× 78 0.8× 236 2.6× 12 0.1× 23 630

Countries citing papers authored by C. A. Macías-Chapula

Since Specialization
Citations

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

Fields of papers citing papers by C. A. Macías-Chapula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. A. Macías-Chapula. 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 C. A. Macías-Chapula. The network helps show where C. A. Macías-Chapula may publish in the future.

Co-authorship network of co-authors of C. A. Macías-Chapula

This figure shows the co-authorship network connecting the top 25 collaborators of C. A. Macías-Chapula. A scholar is included among the top collaborators of C. A. Macías-Chapula 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 C. A. Macías-Chapula. C. A. Macías-Chapula 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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