Alessandro Perrella

2.3k citations
92 papers · 1.2k indexed · h-index 18

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Liver Diseases and Immunity
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

Alessandro Perrella

86 papers receiving 1.2k citations

Peers

Alessandro Perrella
Comparison fields: 5 of 117
  • Hepatology 415
  • Epidemiology 560
  • Applied Microbiology and Biotechnology 32
  • Infectious Diseases 185
  • Immunology 187
Replace Rosa Zampino with:
Rosa Zampino Italy
Αlexandra Alexopoulou Greece
Béatrice Gulbis Belgium
Bashar M. Attar United States
Shuyun Wang China
Woo Jin Chung South Korea
Kenneth J. Wilkins United States
Maria Mazzitelli Italy
Masahiko Kaito Japan
M.P. Manns Germany
Alessandro Perrella relative to Rosa Zampino Italy Rosa Zampino's profile →
Citations per field
00.5×1.5×2.0×
Rosa Zampino · 1×
Citations per year

Countries citing papers authored by Alessandro Perrella

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Perrella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20242
4 20240
5 20230
6 20235
7 20230
8 202319
9 20236
10 202217
11 20216
12 202144
13 20179
14 20151
15 20129
16 20091
17 20093
18 200812
19 200612
20 199615

About Alessandro Perrella

Alessandro Perrella is a scholar working on Hepatology, Applied Microbiology and Biotechnology, Infectious Diseases, Internal Medicine and Epidemiology, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Hepatitis C virus research (21 papers), Liver Disease and Transplantation (12 papers), COVID-19 Clinical Research Studies (12 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Long-Term Effects of COVID-19 (7 papers), Hepatitis B Virus Studies (7 papers) and Pneumocystis jirovecii pneumonia detection and treatment (6 papers). The work is most often cited by research in Hepatology (415 citations), Epidemiology (560 citations), Applied Microbiology and Biotechnology (32 citations), Infectious Diseases (185 citations) and Immunology (187 citations). Alessandro Perrella has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include O. Perrella, Paolo Sorrentino, Paolo Conca, Giovanni Tarantino, Vincenzo Salini, Luigi Terracciano, O. Cuomo, Costanza Sbreglia, G. Gargiulo and Jacopo Vecchiet. Their work appears in journals such as Journal of Clinical Medicine, Vaccines, Antibiotics, Viruses and Journal of Gastroenterology and Hepatology.

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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