Daniela Pițigoi

1.9k citations
52 papers · 773 · h-index 16

Impact in

Papers in

    • Influenza Virus Research Studies 21
    • Respiratory viral infections research 19
    • Hepatitis B Virus Studies 4
    • SARS-CoV-2 and COVID-19 Research 11
    • Viral gastroenteritis research and epidemiology 5

Daniela Pițigoi

51 papers receiving 742 citations

Peers

Daniela Pițigoi
Comparison fields: 5 of 83
  • Modeling and Simulation 104
  • Health 153
  • Epidemiology 569
  • Infectious Diseases 292
  • Agronomy and Crop Science 73
Replace Emilia Lupulescu with:
Emilia Lupulescu Romania
Ana Navascués Spain
Valeria Alfonsi Italy
Sunil Bahl India
Chiara Paganino Italy
F. Irisarri Spain
Gina Tambini United States
Nancy Bellei Brazil
Adriana Pistol Romania
Georgia Gioula Greece
Daniela Pițigoi relative to Emilia Lupulescu Romania Emilia Lupulescu's profile →
Citations per field
00.5×3.3×
Emilia Lupulescu · 1×
Citations per year

Countries citing papers authored by Daniela Pițigoi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pițigoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011120
2 201473
3 200969
4 201660
5 201544
6 200139
7 200322
8 200822
9 201720
10 200718
11 202118
12 201717
13 200617
14 202217
15
Single and multipathogen viral infections in hospitalized children with acute respiratory infections.
201416
16 202015
17 200514
18 201813
19 201312
20 201811

About Daniela Pițigoi

Daniela Pițigoi is a scholar working on Epidemiology, Infectious Diseases, Health, Public Health, Environmental and Occupational Health and Modeling and Simulation, having authored 52 papers that have together received 773 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (21 papers), Respiratory viral infections research (19 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Vaccine Coverage and Hesitancy (9 papers), Viral gastroenteritis research and epidemiology (5 papers), COVID-19 epidemiological studies (5 papers), Hepatitis B Virus Studies (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Modeling and Simulation (104 citations), Health (153 citations), Epidemiology (569 citations), Infectious Diseases (292 citations) and Agronomy and Crop Science (73 citations). Daniela Pițigoi has collaborated with scholars based in Romania, Spain and Portugal. Frequent co-authors include Esther Kissling, Marta Valenciano, Amparo Larrauri, Adrian Streinu‐Cercel, Emilia Lupulescu, J Horváth, Alain Moren, Victoria Aramă, Baltazar Nunes and Alexandru Rafilă. Their work appears in journals such as Vaccines, Eurosurveillance, BMC Infectious Diseases, Vaccine and PLoS ONE.

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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