Marion Good
Impact in
- Music top 0.5%
- Diverse Music Education Insights
- Social Psychology top 0.5%
- Music Therapy and Health
Papers in
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- Music Therapy and Health 23
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- Pediatric Pain Management Techniques 15
- Co-authors
- Gene Cranston Anderson (12 shared papers)Hui‐Ling Lai (4 shared papers)Michael Stanton‐Hicks (8 shared papers)Jeffrey A. Grass (6 shared papers)Jaclene A. Zauszniewski (2 shared papers)Sasitorn Phumdoung (1 shared paper)Sukhee Ahn (5 shared papers)Marion E. Broome (2 shared papers)
- Journals
- Journal of Advanced Nursing (8 papers)Pain Management Nursing (5 papers)Pain (3 papers)Journal of Pain (3 papers)Nursing Research (3 papers)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Marion Good
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 109
- Music 204
- Social Psychology 1.2k
- Critical Care and Intensive Care Medicine 223
- Cognitive Neuroscience 639
- Pediatrics, Perinatology and Child Health 489
Countries citing papers authored by Marion Good
This map shows the geographic impact of Marion Good'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 Marion Good with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marion Good more than expected).
Fields of papers citing papers by Marion Good
This network shows the impact of papers produced by Marion Good. 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 Marion Good. The network helps show where Marion Good may publish in the future.
Co-authors
The 25 scholars most cited alongside Marion Good, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 182 | |
| 2 | 1999 | 181 | |
| 3 | 2006 | 154 | |
| 4 | 2004 | 142 | |
| 5 | 2010 | 125 | |
| 6 | 2001 | 122 | |
| 7 | 2002 | 118 | |
| 8 | 2003 | 107 | |
| 9 | 2001 | 104 | |
| 10 | 2002 | 95 | |
| 11 | 2005 | 95 | |
| 12 | 2004 | 89 | |
| 13 | 1996 | 89 | |
| 14 | 2004 | 87 | |
| 15 | 1995 | 80 | |
| 16 | 2000 | 60 | |
| 17 | 2000 | 59 | |
| 18 | 2006 | 41 | |
| 19 | 1996 | 40 | |
| 20 | 2010 | 39 |
About Marion Good
Marion Good is a scholar working on Social Psychology, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Surgery and Cardiology and Cardiovascular Medicine, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Music Therapy and Health (23 papers), Pediatric Pain Management Techniques (15 papers), Anesthesia and Pain Management (7 papers), Pain Management and Placebo Effect (7 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Pain Management and Opioid Use (4 papers), Empathy and Medical Education (4 papers) and Neuroscience and Music Perception (3 papers). The work is most often cited by research in Music (204 citations), Social Psychology (1.2k citations), Critical Care and Intensive Care Medicine (223 citations), Cognitive Neuroscience (639 citations) and Pediatrics, Perinatology and Child Health (489 citations). Marion Good has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Gene Cranston Anderson, Hui‐Ling Lai, Michael Stanton‐Hicks, Jeffrey A. Grass, Jaclene A. Zauszniewski, Sasitorn Phumdoung, Sukhee Ahn, Marion E. Broome, Myra Martz Huth and Ruth McCaffrey. Their work appears in journals such as Journal of Advanced Nursing, Pain Management Nursing, Pain, Journal of Pain and Nursing Research.
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.