Gila Neta
Impact in
- General Health Professions top 10%
- Health Policy Implementation Science
- Primary Care and Health Outcomes
- Public Health Policies and Education
- Community Health and Development
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- Cancer-related Molecular Pathways
Papers in
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- Health Policy Implementation Science 3
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- Ferroptosis and cancer prognosis 1
- Radiation Therapy and Dosimetry 1
- Co-authors
- David Chambers (3 shared papers)Russell E. Glasgow (3 shared papers)Margaret M. Farrell (2 shared papers)Ross C. Brownson (2 shared papers)Suzanne Heurtin‐Roberts (1 shared paper)Michael Sánchez (1 shared paper)Cara C. Lewis (1 shared paper)Borsika A. Rabin (2 shared papers)
- Journals
- Implementation Science (3 papers)PLoS ONE (1 paper)Molecular Medicine (1 paper)Radiation Research (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)
- Partner nations
- United StatesUkraine
In The Last Decade
Gila Neta
8 papers receiving 293 citations
Peers
Comparison fields: 5 of 66
- General Health Professions 106
- Oncology 50
- Cancer Research 16
- Statistics, Probability and Uncertainty 8
- Radiological and Ultrasound Technology 5
Countries citing papers authored by Gila Neta
This map shows the geographic impact of Gila Neta'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 Gila Neta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gila Neta more than expected).
Fields of papers citing papers by Gila Neta
This network shows the impact of papers produced by Gila Neta. 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 Gila Neta. The network helps show where Gila Neta may publish in the future.
Co-authors
The 25 scholars most cited alongside Gila Neta, 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 | 2015 | 68 | |
| 2 | 2000 | 62 | |
| 3 | 2015 | 60 | |
| 4 | 2016 | 48 | |
| 5 | 2012 | 20 | |
| 6 | 2013 | 20 | |
| 7 | 2015 | 12 | |
| 8 | 2014 | 9 |
About Gila Neta
Gila Neta is a scholar working on General Health Professions, Pulmonary and Respiratory Medicine, Information Systems and Management, Oncology and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 299 indexed citations. Recurring topics across this work include Health Policy Implementation Science (3 papers), Ferroptosis and cancer prognosis (1 paper), Radiation Therapy and Dosimetry (1 paper), Thyroid Cancer Diagnosis and Treatment (1 paper), Health and Medical Research Impacts (1 paper), Genetic Associations and Epidemiology (1 paper), Radiation Dose and Imaging (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in General Health Professions (106 citations), Oncology (50 citations), Cancer Research (16 citations), Statistics, Probability and Uncertainty (8 citations) and Radiological and Ultrasound Technology (5 citations). Gila Neta has collaborated with scholars based in United States and Ukraine. Frequent co-authors include David Chambers, Russell E. Glasgow, Margaret M. Farrell, Ross C. Brownson, Suzanne Heurtin‐Roberts, Michael Sánchez, Cara C. Lewis, Borsika A. Rabin, Bryan Leyva and Wynne E. Norton. Their work appears in journals such as Implementation Science, PLoS ONE, Molecular Medicine, Radiation Research and Cancer Epidemiology Biomarkers & Prevention.
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.