Rita Singhal

415 citations
19 papers · 331 · h-index 9

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Herpesvirus Infections and Treatments

Papers in

    • Cervical Cancer and HPV Research 13
    • Hepatitis B Virus Studies 2
    • Virology and Viral Diseases 1
    • Vaccine Coverage and Hesitancy 4

Rita Singhal

18 papers receiving 325 citations

Peers

Rita Singhal
Comparison fields: 5 of 35
  • Health 91
  • Epidemiology 243
  • Virology 13
  • Hepatology 6
  • General Health Professions 16
Replace Ya-Ting Chen with:
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Rita Singhal relative to Ya-Ting Chen United States Ya-Ting Chen's profile →
Citations per field
00.5×2.6×
Ya-Ting Chen · 1×
Citations per year

Countries citing papers authored by Rita Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Rita Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita Singhal, 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 Rita Singhal Line = papers co-authored together Rita Singhal links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2011119
2 201239
3 201429
4 201328
5
The impact of social communication on perceived HPV vaccine effectiveness in a low-income, minority population.
201125
6 201714
7 201713
8 200812
9 202211
10 20248
11 20238
12 20217
13 20144
14 20244
15 20194
16
Messaging to the Messengers: An Ethnographic Study of Latino Ethnic Media and Health Reporting in the Los Angeles Community.
20213
17 20102
18 20231
19 20240

About Rita Singhal

Rita Singhal is a scholar working on Epidemiology, Health, Virology, Surgery and Molecular Biology, having authored 19 papers that have together received 331 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (13 papers), Vaccine Coverage and Hesitancy (4 papers), Poxvirus research and outbreaks (4 papers), Genital Health and Disease (3 papers), Hepatitis B Virus Studies (2 papers), Bacillus and Francisella bacterial research (2 papers), T-cell and Retrovirus Studies (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Health (91 citations), Epidemiology (243 citations), Virology (13 citations), Hepatology (6 citations) and General Health Professions (16 citations). Rita Singhal has collaborated with scholars based in United States. Frequent co-authors include Beth A. Glenn, Roshan Bastani, Jennifer Tsui, L. Cindy Chang, Victoria M. Taylor, Erica Marchand, Hector P. Rodríguez, Gilbert C. Gee, Narissa J. Nonzee and Gerald F. Kominski. Their work appears in journals such as Vaccine, Cancer Epidemiology Biomarkers & Prevention, Preventive Medicine, Current Opinion in Obstetrics & Gynecology and American Journal of 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.

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