Dina Maskileyson
- Sociology and Political Science top 10%
- Health top 5%
- General Health Professions top 10%
- Clinical Psychology
- Economics and Econometrics
- Co-authors
- Moshe SemyonovEldad DavidovDaniel SeddigNoah Lewìn-EpsteinPeter SchmidtIcek AjzenRebeca RaijmanAnastasia Gorodzeisky
- Topics
- Employment and Welfare Studies (7 papers)Health disparities and outcomes (7 papers)Migration and Labor Dynamics (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSocial Science & MedicineBMC Public Health
- Partner nations
- GermanyIsraelSwitzerland
In The Last Decade
Dina Maskileyson
18 papers receiving 376 citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 177
- Health 167
- General Health Professions 119
- Clinical Psychology 63
- Economics and Econometrics 47
Countries citing papers authored by Dina Maskileyson
This map shows the geographic impact of Dina Maskileyson'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 Dina Maskileyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dina Maskileyson more than expected).
Fields of papers citing papers by Dina Maskileyson
This network shows the impact of papers produced by Dina Maskileyson. 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 Dina Maskileyson. The network helps show where Dina Maskileyson may publish in the future.
Co-authorship network of co-authors of Dina Maskileyson
This figure shows the co-authorship network connecting the top 25 collaborators of Dina Maskileyson. A scholar is included among the top collaborators of Dina Maskileyson 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 Dina Maskileyson. Dina Maskileyson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | Correlates of COVID-19 vaccination intentions: Attitudes, institutional trust, fear, conspiracy beliefs, and vaccine skepticismbreakdown → | 98 |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 15 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 28 | |
| 17 | 42 | |
| 18 | 27 | |
| 19 | 89 |
About Dina Maskileyson
Dina Maskileyson is a scholar working on Health, Neuropsychology and Physiological Psychology and General Health Professions, having authored 19 papers that have together received 386 indexed citations. Recurring topics across this work include Employment and Welfare Studies (7 papers), Health disparities and outcomes (7 papers) and Migration and Labor Dynamics (6 papers). The work is most often cited by research in Health (167 citations), Modeling and Simulation (27 citations) and General Health Professions (119 citations). Dina Maskileyson has collaborated with scholars based in Germany, Israel and Switzerland. Frequent co-authors include Moshe Semyonov, Eldad Davidov, Daniel Seddig, Noah Lewìn-Epstein, Peter Schmidt, Icek Ajzen, Rebeca Raijman, Anastasia Gorodzeisky, Anya Glikman and Sebastian Sattler. Their work appears in journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and BMC Public Health.
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.