Eva McGhee
Impact in
- Applied Psychology top 5%
- Digital Mental Health Interventions
- Behavioral Health and Interventions
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment
Papers in
-
- DNA Repair Mechanisms 1
- Bioactive natural compounds 1
- Protein Degradation and Inhibitors 1
-
- Cervical Cancer and HPV Research 5
- Co-authors
- Dean Wantland (2 shared papers)William L. Holzemer (2 shared papers)Carmen J. Portillo (1 shared paper)R.E. Slaughter (1 shared paper)W.F. Morgan (1 shared paper)Charles L. Limoli (1 shared paper)Joseph Day (1 shared paper)Mark I. Kaplan (1 shared paper)
- Journals
- Cancer Research (3 papers)Journal of Medical Internet Research (1 paper)Breast Cancer Research and Treatment (1 paper)Public Health Nursing (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Eva McGhee
10 papers receiving 1.3k citations
Eva McGhee's Hit Papers
Peers
Comparison fields: 5 of 131
- Applied Psychology 156
- Cancer Research 168
- General Health Professions 234
- Radiology, Nuclear Medicine and Imaging 203
- Biochemistry 37
Countries citing papers authored by Eva McGhee
This map shows the geographic impact of Eva McGhee'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 Eva McGhee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva McGhee more than expected).
Fields of papers citing papers by Eva McGhee
This network shows the impact of papers produced by Eva McGhee. 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 Eva McGhee. The network helps show where Eva McGhee may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva McGhee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Effectiveness of Web-Based vs. Non-Web-Based Interventions: A Meta-Analysis of Behavioral Change Outcomes Hit paper breakdown → | 2004 | 741 |
| 2 | 1996 | 399 | |
| 3 | 1996 | 94 | |
| 4 | 2015 | 48 | |
| 5 | 2000 | 14 | |
| 6 | 2006 | 10 | |
| 7 | 2011 | 8 | |
| 8 | 2000 | 6 | |
| 9 | 2010 | 4 | |
| 10 | 2021 | 3 | |
| 11 | 2016 | 0 | |
| 12 | 2019 | 0 | |
| 13 | 2018 | 0 |
About Eva McGhee
Eva McGhee is a scholar working on Molecular Biology, Epidemiology, Genetics, Otorhinolaryngology and Genetics, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), Cancer Mechanisms and Therapy (1 paper), Acute Myeloid Leukemia Research (1 paper), Head and Neck Cancer Studies (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), DNA Repair Mechanisms (1 paper), Bioactive natural compounds (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Applied Psychology (156 citations), Cancer Research (168 citations), General Health Professions (234 citations), Radiology, Nuclear Medicine and Imaging (203 citations) and Biochemistry (37 citations). Eva McGhee has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Dean Wantland, William L. Holzemer, Carmen J. Portillo, R.E. Slaughter, W.F. Morgan, Charles L. Limoli, Joseph Day, Mark I. Kaplan, Delbert M. Shankel and Lester A. Mitscher. Their work appears in journals such as Cancer Research, Journal of Medical Internet Research, Breast Cancer Research and Treatment, Public Health Nursing and American Journal Of Pathology.
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.