Ivana Maida

2.9k citations
90 papers · 1.8k indexed · h-index 24
Topics
Hepatitis C virus research (45 papers)Liver Disease Diagnosis and Treatment (29 papers)HIV/AIDS drug development and treatment (24 papers)
Partner nations
ItalySpainUnited States

In The Last Decade

Ivana Maida

87 papers receiving 1.7k citations

Peers

Ivana Maida
Comparison fields: 5 of 97
  • Epidemiology 950
  • Hepatology 905
  • Infectious Diseases 727
  • Virology 293
  • Emergency Medicine 160
Replace Jean‐Pierre Vinel with:
Jean‐Pierre Vinel France
Denise Pui Chung Chan Hong Kong
Jennifer C. Price United States
Giorgio Barbarini Italy
Jing Xie China
Gabriella Verucchi Italy
Maria Mazzitelli Italy
Paola Scognamiglio Italy
Markus Bickel Germany
Antonietta Cargnel Italy
Ivana Maida relative to Jean‐Pierre Vinel France Jean‐Pierre Vinel's profile →
Citations per field
00.5×2.6×
Jean‐Pierre Vinel · 1×
Citations per year

Countries citing papers authored by Ivana Maida

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Maida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Maida

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 2
5 1
6 8
7 7
8 55
9 20
10
HPV infection in HIV-positive females: the need for cervical cancer screening including HPV-DNA detection despite successful HAART.
18
11 0
12
HIV-HCV co-infection: epidemiology, pathogenesis and therapeutic implications.
42
13 6
14 22
15 14
16 10
17 31
18 17
19 11
20 61

About Ivana Maida

Ivana Maida is a scholar working on Hepatology, Infectious Diseases and Virology, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (45 papers), Liver Disease Diagnosis and Treatment (29 papers) and HIV/AIDS drug development and treatment (24 papers). The work is most often cited by research in Hepatology (905 citations), Virology (293 citations) and Infectious Diseases (727 citations). Ivana Maida has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Vincent Soriano, Pablo Barreiro, Luz Martı́n-Carbonero, Marina Núñez, Sergio Babudieri, Juan González‐Lahoz, Eugenia Vispo, Javier García‐Samaniego, María Stella Mura and Giordano Madeddu. Their work appears in journals such as PLoS ONE, Hepatology and The Journal of Infectious Diseases.

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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