Christina Marel

61 total papers · 1.3k total citations
43 papers, 797 citations indexed

About

Christina Marel is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Social Psychology. According to data from OpenAlex, Christina Marel has authored 43 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 18 papers in Public Health, Environmental and Occupational Health and 11 papers in Social Psychology. Recurrent topics in Christina Marel's work include Substance Abuse Treatment and Outcomes (24 papers), Opioid Use Disorder Treatment (17 papers) and Mental Health Treatment and Access (10 papers). Christina Marel is often cited by papers focused on Substance Abuse Treatment and Outcomes (24 papers), Opioid Use Disorder Treatment (17 papers) and Mental Health Treatment and Access (10 papers). Christina Marel collaborates with scholars based in Australia, United Kingdom and Bulgaria. Christina Marel's co-authors include Katherine L. Mills, Maree Teesson, Rosemary Kingston, Tim Slade, Shane Darke, Joanne Ross, Lucy Burns, Janet Chan, Sally Doran and Matthew Sunderland and has published in prestigious journals such as American Journal of Psychiatry, Addiction and Psychiatry Research.

In The Last Decade

Christina Marel

40 papers receiving 775 citations

Author Peers

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

Author Last Decade Papers Cites
Christina Marel 376 266 196 184 115 43 797
Rachel N. Lipari 311 0.8× 251 0.9× 275 1.4× 219 1.2× 106 0.9× 47 895
Lindsay Oberleitner 300 0.8× 309 1.2× 248 1.3× 168 0.9× 111 1.0× 51 959
Master Textbook 205 0.5× 190 0.7× 201 1.0× 182 1.0× 121 1.1× 39 747
Ethan Sahker 316 0.8× 162 0.6× 166 0.8× 186 1.0× 134 1.2× 58 767
Steven L. Proctor 398 1.1× 185 0.7× 248 1.3× 109 0.6× 85 0.7× 52 712
Robert L. Hubbard 598 1.6× 229 0.9× 208 1.1× 299 1.6× 150 1.3× 36 988
Claudia Rafful 490 1.3× 342 1.3× 221 1.1× 185 1.0× 116 1.0× 50 861
Marlene Stenbacka 497 1.3× 358 1.3× 300 1.5× 162 0.9× 62 0.5× 36 987
Shalini Arunogiri 310 0.8× 293 1.1× 309 1.6× 141 0.8× 117 1.0× 73 917
Donelle Howell 317 0.8× 202 0.8× 130 0.7× 217 1.2× 83 0.7× 26 769

Countries citing papers authored by Christina Marel

Since Specialization
Citations

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

Fields of papers citing papers by Christina Marel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Marel

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