Darlene Mood

68 total papers · 5.5k total citations
59 papers, 4.4k citations indexed

About

Darlene Mood is a scholar working on Oncology, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Darlene Mood has authored 59 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 26 papers in Sociology and Political Science and 16 papers in General Health Professions. Recurrent topics in Darlene Mood's work include Cancer survivorship and care (24 papers), Family Support in Illness (21 papers) and Patient-Provider Communication in Healthcare (12 papers). Darlene Mood is often cited by papers focused on Cancer survivorship and care (24 papers), Family Support in Illness (21 papers) and Patient-Provider Communication in Healthcare (12 papers). Darlene Mood collaborates with scholars based in United States, Netherlands and Thailand. Darlene Mood's co-authors include Laurel Northouse, Trace Kershaw, Ann Schafenacker, Lixin Song, Thomas Templin, Lingling Zhang, Maria C. Katapodi, Suzanne Mellon, Tamara Bloom George and David C. Smith and has published in prestigious journals such as Journal of Clinical Oncology, Child Development and Cancer.

In The Last Decade

Darlene Mood

57 papers receiving 4.2k citations

Hit Papers

Interventions with Family... 2010 2026 2015 2020 2010 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Darlene Mood 2.4k 2.1k 1.4k 1.1k 971 59 4.4k
Hoda Badr 2.1k 0.9× 2.0k 1.0× 960 0.7× 903 0.8× 754 0.8× 96 4.5k
Catherine E. Mosher 2.0k 0.8× 1.2k 0.6× 989 0.7× 1.1k 0.9× 568 0.6× 110 4.1k
James Zabora 3.8k 1.6× 1.6k 0.8× 1.8k 1.3× 2.3k 2.0× 882 0.9× 60 5.8k
Barbara Curbow 2.6k 1.1× 1.3k 0.6× 1.5k 1.0× 1.6k 1.4× 1.2k 1.3× 103 5.8k
Joan R. Bloom 3.1k 1.3× 1.7k 0.8× 826 0.6× 1.5k 1.3× 1.4k 1.4× 110 5.8k
Barry D. Bultz 3.1k 1.3× 1.1k 0.5× 1.8k 1.3× 1.7k 1.5× 1.0k 1.0× 80 4.6k
David K. Wellisch 1.6k 0.6× 1.5k 0.7× 856 0.6× 1.1k 1.0× 655 0.7× 97 4.6k
Jane Turner 1.7k 0.7× 1.0k 0.5× 884 0.6× 942 0.8× 823 0.8× 105 3.6k
Geraldine Padilla 2.3k 0.9× 1.1k 0.5× 1.1k 0.8× 1.0k 0.9× 942 1.0× 89 4.8k
Gary Winkel 1.6k 0.7× 1.4k 0.6× 780 0.5× 956 0.8× 1.4k 1.4× 105 5.6k

Countries citing papers authored by Darlene Mood

Since Specialization
Citations

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

Fields of papers citing papers by Darlene Mood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darlene Mood

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