Daniel Bertolino

448 citations
7 papers · 68 · h-index 3

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • HIV/AIDS Research and Interventions
    • SARS-CoV-2 detection and testing

Papers in

    • HIV/AIDS Research and Interventions 2
    • SARS-CoV-2 detection and testing 1
    • Vascular Malformations and Hemangiomas 1

Daniel Bertolino

4 papers receiving 67 citations

Peers

Daniel Bertolino
Comparison fields: 5 of 20
  • Infectious Diseases 45
  • Health 7
  • Modeling and Simulation 4
  • Clinical Psychology 12
  • General Health Professions 12
Replace Mingxiang Fan with:
Mingxiang Fan China
Derly Andrade-Molina Ecuador
Katharina Eisenhut Germany
Joshua Arthur Ghana
Lauren Firestein United States
Ryan Handoko United States
Ibrahima Camara Guinea
Ayanfe Omololu Nigeria
Brittany Wilbourn United States
Claudia Cosma Italy
Daniel Bertolino relative to Mingxiang Fan China Mingxiang Fan's profile →
Citations per field
00.5×4.5×
Mingxiang Fan · 1×
Citations per year

Countries citing papers authored by Daniel Bertolino

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Bertolino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Daniel Bertolino, 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 Daniel Bertolino Line = papers co-authored together Daniel Bertolino links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202138
2 202025
3 20234
4
[Good's syndrome. Clinical and immunological study].
19761
5 20240
6 20240
7 20230

About Daniel Bertolino

Daniel Bertolino is a scholar working on Infectious Diseases, Surgery, Neurology, Virology and Clinical Psychology, having authored 7 papers that have together received 68 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (2 papers), Child Abuse and Trauma (1 paper), Pituitary Gland Disorders and Treatments (1 paper), HIV Research and Treatment (1 paper), SARS-CoV-2 detection and testing (1 paper), Vascular Malformations and Hemangiomas (1 paper), Myasthenia Gravis and Thymoma (1 paper) and Retirement, Disability, and Employment (1 paper). The work is most often cited by research in Infectious Diseases (45 citations), Health (7 citations), Modeling and Simulation (4 citations), Clinical Psychology (12 citations) and General Health Professions (12 citations). Daniel Bertolino has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Travis Sanchez, Patrick S. Sullivan, María Zlotorzynska, Stephanie Ngai, Jennifer Baumgartner, Jade Wang, Henry Lee, Jennifer L. Rakeman, Scott Hughes and Emily McGibbon. Their work appears in journals such as AIDS, BMC Health Services Research, Child Abuse & Neglect, MMWR Morbidity and Mortality Weekly Report and International Journal of Epidemiology.

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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