Maya J. Goldenberg

62 total papers · 1.6k total citations
32 papers, 869 citations indexed

About

Maya J. Goldenberg is a scholar working on General Health Professions, Sociology and Political Science and Health. According to data from OpenAlex, Maya J. Goldenberg has authored 32 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in General Health Professions, 12 papers in Sociology and Political Science and 9 papers in Health. Recurrent topics in Maya J. Goldenberg's work include Vaccine Coverage and Hesitancy (9 papers), Ethics in medical practice (8 papers) and Misinformation and Its Impacts (8 papers). Maya J. Goldenberg is often cited by papers focused on Vaccine Coverage and Hesitancy (9 papers), Ethics in medical practice (8 papers) and Misinformation and Its Impacts (8 papers). Maya J. Goldenberg collaborates with scholars based in Canada, United States and Netherlands. Maya J. Goldenberg's co-authors include Michael O’Mahony, Kirstin Borgerson, Robyn Bluhm, Ross Upshur, Fernanda Pérez-Gay Juárez, Elizaveta Solomonova, Ian Gold, Zoua M. Vang, Maxwell J. Smith and Daniel Weinstock and has published in prestigious journals such as PLoS ONE, Social Science & Medicine and BMC Public Health.

In The Last Decade

Maya J. Goldenberg

30 papers receiving 796 citations

Author Peers

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

Author Last Decade Papers Cites
Maya J. Goldenberg 290 251 176 166 95 32 869
Lesley Jo Weaver 424 1.5× 94 0.4× 116 0.7× 114 0.7× 39 0.4× 34 872
Maria W. Merritt 321 1.1× 101 0.4× 53 0.3× 273 1.6× 97 1.0× 40 804
Lisbeth Sachs 296 1.0× 189 0.8× 53 0.3× 168 1.0× 64 0.7× 55 908
Christine Musyimi 306 1.1× 111 0.4× 131 0.7× 144 0.9× 42 0.4× 80 912
Gracy Andrew 341 1.2× 104 0.4× 142 0.8× 118 0.7× 30 0.3× 23 954
Marja‐Liisa Honkasalo 289 1.0× 347 1.4× 105 0.6× 135 0.8× 34 0.4× 44 926
Una Maclean 223 0.8× 160 0.6× 73 0.4× 64 0.4× 41 0.4× 35 853
Dominic Sisti 200 0.7× 73 0.3× 80 0.5× 145 0.9× 107 1.1× 63 898
Yael Keshet 204 0.7× 211 0.8× 121 0.7× 108 0.7× 32 0.3× 72 826
Angela Ofori-Atta 340 1.2× 113 0.5× 161 0.9× 108 0.7× 42 0.4× 41 903

Countries citing papers authored by Maya J. Goldenberg

Since Specialization
Citations

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

Fields of papers citing papers by Maya J. Goldenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya J. Goldenberg. 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 Maya J. Goldenberg. The network helps show where Maya J. Goldenberg may publish in the future.

Co-authorship network of co-authors of Maya J. Goldenberg

This figure shows the co-authorship network connecting the top 25 collaborators of Maya J. Goldenberg. A scholar is included among the top collaborators of Maya J. Goldenberg 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 Maya J. Goldenberg. Maya J. Goldenberg 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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