Monia Capponi

1.6k citations
6 papers · 91 · h-index 5

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Cancer-related Molecular Pathways 2
    • Polyomavirus and related diseases 1
    • Hepatitis B Virus Studies 3
    • Liver Disease Diagnosis and Treatment 3

Monia Capponi

6 papers receiving 91 citations

Peers

Monia Capponi
Comparison fields: 5 of 23
  • Hepatology 55
  • Genetics 22
  • Epidemiology 59
  • Hematology 12
  • Oncology 25
Replace Christina Ganesh with:
Christina Ganesh United States
Marco Rais Italy
Hannah K. Jackson United Kingdom
Vesa Lindström Finland
G.B. Gaeta Italy
Menelaos Papoutselis Greece
S. Di Guida Italy
Jennifer H. Cooperrider United States
Ciro Fulgaro Italy
Maryann San Martin United States
Monia Capponi relative to Christina Ganesh United States Christina Ganesh's profile →
Citations per field
00.5×1.5×2.2×
Christina Ganesh · 1×
Citations per year

Countries citing papers authored by Monia Capponi

Since Specialization
Citations

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

Fields of papers citing papers by Monia Capponi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 200947
2 201915
3 200414
4 20127
5 20127
6 20191

About Monia Capponi

Monia Capponi is a scholar working on Oncology, Epidemiology, Hepatology, Genetics and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 91 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Advanced Breast Cancer Therapies (2 papers), Cancer-related Molecular Pathways (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Hematopoietic Stem Cell Transplantation (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Hepatology (55 citations), Genetics (22 citations), Epidemiology (59 citations), Hematology (12 citations) and Oncology (25 citations). Monia Capponi has collaborated with scholars based in Italy, Lebanon and United States. Frequent co-authors include Barbara Belfiori, Daniela Francisci, Franco Baldelli, Elisabetta Schiaroli, Leonardo Flenghi, Flavio Falcinelli, Roberta Iacucci Ostini, Katia Fettucciari, Emanuela Rosati and Pier Luigi Zinzani. Their work appears in journals such as HemaSphere, Infection, Hematological Oncology, Blood Cells Molecules and Diseases and Tumori Journal.

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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