Tasnime Osama

849 citations
10 papers · 507 indexed · 1 hit paper · h-index 7
Topics
Vaccine Coverage and Hesitancy (4 papers)SARS-CoV-2 and COVID-19 Research (2 papers)Employment and Welfare Studies (2 papers)

In The Last Decade

Tasnime Osama

9 papers receiving 493 citations

Hit Papers

Covid-19 vaccine hesitancy among ethnic minority groups20212026202220242021100200300

Peers

Tasnime Osama
Comparison fields: 5 of 85
  • Health 292
  • Infectious Diseases 147
  • Sociology and Political Science 122
  • Modeling and Simulation 97
  • General Health Professions 81
Replace Anli Leng with:
Anli Leng China
Allyson Gallant Canada
Liora Shmueli Israel
The Lancet Infectious Diseases
Inayat Ali Austria
Ramya Pinnamaneni United States
Mohammad Bellal Hossain Bangladesh
Giovanna Failla Italy
Rachel Gur‐Arie United States
Md. Zakiul Alam Bangladesh
Tasnime Osama relative to Anli Leng China Anli Leng's profile →
Citations per field
00.5×1.5×
Anli Leng · 1×
Citations per year

Countries citing papers authored by Tasnime Osama

Since Specialization
Citations

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

Fields of papers citing papers by Tasnime Osama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tasnime Osama

This figure shows the co-authorship network connecting the top 25 collaborators of Tasnime Osama. A scholar is included among the top collaborators of Tasnime Osama 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 Tasnime Osama. Tasnime Osama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 38
2 61
3
Covid-19 vaccine hesitancy among ethnic minority groupsbreakdown →
304
4 17
5 21
6 2
7 6
8 31
9 0
10 27

About Tasnime Osama

Tasnime Osama is a scholar working on Health Informatics, Health and General Health Professions, having authored 10 papers that have together received 507 indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Employment and Welfare Studies (2 papers). The work is most often cited by research in Health (292 citations), Modeling and Simulation (97 citations) and Infectious Diseases (147 citations). Tasnime Osama has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Azeem Majeed, Mohammad S Razai, Douglas GJ McKechnie, Glenn Wells, Josip Car, Michelle Helena van Velthoven, David Brindley, Edward Meinert, Arturo Álvarez-Rosete and Abrar Alturkistani. Their work appears in journals such as The Lancet, BMJ and BMJ Open.

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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