Ben Kasstan

550 citations
31 papers · 250 · h-index 9

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • Religion, Spirituality, and Psychology
    • COVID-19 epidemiological studies

Papers in

Ben Kasstan

27 papers receiving 237 citations

Peers

Ben Kasstan
Comparison fields: 5 of 53
  • Health 122
  • Modeling and Simulation 24
  • Philosophy 33
  • Infectious Diseases 54
  • Reproductive Medicine 20
Replace Pamela Feldman‐Savelsberg with:
Pamela Feldman‐Savelsberg United States
Gabriel Andrade United Arab Emirates
Thomas Weber Australia
Frédéric Le Marcis France
Gary Laderman United States
Manuela Ivone P. da Cunha Portugal
Andrea Nye United States
Polyxeni Potter United States
Niels Brimnes Denmark
Michael A. Chaney United States
Ben Kasstan relative to Pamela Feldman‐Savelsberg United States Pamela Feldman‐Savelsberg's profile →
Citations per field
00.5×11×
Pamela Feldman‐Savelsberg · 1×
Citations per year

Countries citing papers authored by Ben Kasstan

Since Specialization
Citations

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

Fields of papers citing papers by Ben Kasstan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ben Kasstan. 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 Ben Kasstan. The network helps show where Ben Kasstan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ben Kasstan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ben Kasstan Line = papers co-authored together Ben Kasstan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202142
2 202034
3 202118
4 202018
5 202117
6 202313
7 202213
8 201912
9 19708
10 20208
11 20227
12 20196
13 20186
14 20186
15 20235
16 20235
17 20235
18 20235
19 20224
20 20223

About Ben Kasstan

Ben Kasstan is a scholar working on Sociology and Political Science, Health, General Health Professions, Infectious Diseases and Clinical Psychology, having authored 31 papers that have together received 250 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (8 papers), Jewish and Middle Eastern Studies (7 papers), Religion, Society, and Development (5 papers), Viral Infections and Immunology Research (4 papers), Media, Religion, Digital Communication (3 papers), Healthcare Systems and Challenges (3 papers), Anthropological Studies and Insights (3 papers) and LGBTQ Health, Identity, and Policy (3 papers). The work is most often cited by research in Health (122 citations), Modeling and Simulation (24 citations), Philosophy (33 citations), Infectious Diseases (54 citations) and Reproductive Medicine (20 citations). Ben Kasstan has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Tracey Chantler, Sandra Mounier‐Jack, Louise Letley, Rosalind M. Eggo, Katherine M. Gaskell, Maya Unnithan, Michael Marks, Chrissy h. Roberts, Sham Lal and Neil Stone. Their work appears in journals such as Social Science & Medicine, Anthropology & Education Quarterly, Women s Studies International Forum, Vaccine and Epidemiology and Infection.

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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