Gene W. Marsh

818 total citations
14 papers, 587 citations indexed

About

Gene W. Marsh is a scholar working on General Health Professions, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Gene W. Marsh has authored 14 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 3 papers in Oncology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Gene W. Marsh's work include Cancer survivorship and care (3 papers), Health Sciences Research and Education (3 papers) and School Health and Nursing Education (2 papers). Gene W. Marsh is often cited by papers focused on Cancer survivorship and care (3 papers), Health Sciences Research and Education (3 papers) and School Health and Nursing Education (2 papers). Gene W. Marsh collaborates with scholars based in United States, United Kingdom and Hong Kong. Gene W. Marsh's co-authors include FY Leung, Winnie K.W. So, W.M. Ling, George K. H. Li, Leonard V. Zumpano, Susan Hopkins, Mike Nolan, Carol P. Vojir, Lauren Clark and Mary F. Davis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Nursing and Oncology nursing forum.

In The Last Decade

Gene W. Marsh

14 papers receiving 550 citations

Peers

Gene W. Marsh
Susan A. Williams United States
Annemie Courtens Netherlands
Leda L. Danao United States
Rebecca Foster United Kingdom
Brandi Funk United States
Lynn Batehup United Kingdom
Nellie Garcia United States
Myungsun Yi South Korea
Susan A. Williams United States
Gene W. Marsh
Citations per year, relative to Gene W. Marsh Gene W. Marsh (= 1×) peers Susan A. Williams

Countries citing papers authored by Gene W. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Gene W. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gene W. Marsh. 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 Gene W. Marsh. The network helps show where Gene W. Marsh may publish in the future.

Co-authorship network of co-authors of Gene W. Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of Gene W. Marsh. A scholar is included among the top collaborators of Gene W. Marsh 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 Gene W. Marsh. Gene W. Marsh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
2.
So, Winnie K.W., et al.. (2009). Fatigue and quality of life of women undergoing chemotherapy or radiotherapy for breast cancer. SHILAP Revista de lepidopterología. 6(3). 179–185. 1 indexed citations
3.
So, Winnie K.W., et al.. (2009). Anxiety, depression and quality of life among Chinese breast cancer patients during adjuvant therapy. European Journal of Oncology Nursing. 14(1). 17–22. 168 indexed citations
4.
Barton, Amy J., Patricia Moritz, Jerry C. Griffin, et al.. (2005). A model to identify direct costs of nursing education: the Colorado experience.. PubMed. 9(4). 155–62. 5 indexed citations
5.
Marsh, Gene W.. (2002). Testing the revised barriers to research utilisation scale for use in the United Kingdom. Clinical Effectiveness in Nursing. 6(2). 96–96. 1 indexed citations
6.
Marsh, Gene W., Mike Nolan, & Susan Hopkins. (2001). Testing the revised barriers to research utilization scale for use in the UK. Clinical Effectiveness in Nursing. 5(2). 66–72. 33 indexed citations
7.
Marsh, Gene W., et al.. (2000). Predicting hospice appropriateness for patients with dementia of the Alzheimer's type. Applied Nursing Research. 13(4). 187–196. 21 indexed citations
8.
Marsh, Gene W.. (1999). Measuring Patient Satisfaction Outcomes Across Provider Disciplines. Journal of Nursing Measurement. 7(1). 47–62. 19 indexed citations
9.
Marsh, Gene W., et al.. (1998). Historic and Future Health Promotion Contexts for Nursing. Image the Journal of Nursing Scholarship. 30(4). 379–383. 33 indexed citations
10.
Clark, Lauren, et al.. (1996). Adolescent Health Promotion in a Low-Income, Urban Environment. Family & Community Health. 19(1). 1–13. 5 indexed citations
11.
Marsh, Gene W., et al.. (1992). The measurement of nurses' attitudes towards nursing research and the research environment in clinical settings. Journal of Clinical Nursing. 1(6). 315–322. 24 indexed citations
12.
Marsh, Gene W.. (1990). Refining an emergent life-style-change theory through matrix analysis. Advances in Nursing Science. 12(3). 41–52. 31 indexed citations
13.
Marsh, Gene W.. (1989). The development and testing of instruments to measure concepts in the revelation readiness model of lifestyle change.. UA Campus Repository (The University of Arizona). 2 indexed citations
14.
Marsh, Gene W. & Leonard V. Zumpano. (1988). Agency Theory and the Changing Role of the Real Estate Broker: Conflicts and Possible Solutions. Journal of Real Estate Research. 3(2). 151–164. 31 indexed citations

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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