Marion Good
- Social Psychology top 0.5%
- Cognitive Neuroscience top 2%
- Pediatrics, Perinatology and Child Health top 1%
- Critical Care and Intensive Care Medicine top 1%
- Surgery top 10%
- Co-authors
- Gene Cranston AndersonHui‐Ling LaiMichael Stanton‐HicksJeffrey A. GrassSukhee AhnJaclene A. ZauszniewskiRuth McCaffreyMyra Martz Huth
- Topics
- Music Therapy and Health (24 papers)Pediatric Pain Management Techniques (19 papers)Pain Management and Placebo Effect (9 papers)
- Journals
- Diabetes CarePainBioEssays
- Partner nations
- United StatesSouth KoreaThailand
In The Last Decade
Marion Good
45 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Social Psychology 1.3k
- Cognitive Neuroscience 912
- Pediatrics, Perinatology and Child Health 676
- Critical Care and Intensive Care Medicine 363
- Surgery 319
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-authorship network of co-authors of Marion Good
This figure shows the co-authorship network connecting the top 25 collaborators of Marion Good. A scholar is included among the top collaborators of Marion Good 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 Marion Good. Marion Good is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 32 | |
| 3 | 126 | |
| 4 | 39 | |
| 5 | 32 | |
| 6 | 153 | |
| 7 | 24 | |
| 8 | 179 | |
| 9 | 87 | |
| 10 | 107 | |
| 11 | Pain outcomes after intestinal surgery. | 11 |
| 12 | 95 | |
| 13 | 18 | |
| 14 | 182 | |
| 15 | [Relaxation techniques for surgical patients]. | 4 |
| 16 | 18 | |
| 17 | 23 | |
| 18 | 40 | |
| 19 | 89 | |
| 20 | 1 |
About Marion Good
Marion Good is a scholar working on Social Psychology, Critical Care and Intensive Care Medicine and Pediatrics, Perinatology and Child Health, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Music Therapy and Health (24 papers), Pediatric Pain Management Techniques (19 papers) and Pain Management and Placebo Effect (9 papers). The work is most often cited by research in Music (259 citations), Critical Care and Intensive Care Medicine (363 citations) and Social Psychology (1.3k citations). Marion Good has collaborated with scholars based in United States, South Korea and Thailand. Frequent co-authors include Gene Cranston Anderson, Hui‐Ling Lai, Michael Stanton‐Hicks, Jeffrey A. Grass, Sukhee Ahn, Jaclene A. Zauszniewski, Ruth McCaffrey, Myra Martz Huth, Marion E. Broome and Patricia A. Adler. Their work appears in journals such as Diabetes Care, Pain and BioEssays.
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.