Elisabetta Madonna

840 citations
33 papers · 619 indexed · h-index 14
  • Hepatology top 1%
    • Hepatitis Viruses Studies and Epidemiology 22
    • Liver Disease and Transplantation 16
    • Hepatitis C virus research 11
    • Liver Diseases and Immunity 9
    • Viral gastroenteritis research and epidemiology 10
  • Epidemiology top 10%
    • Hepatitis B Virus Studies 11
    • Liver Disease Diagnosis and Treatment 5
    • Systemic Lupus Erythematosus Research 3

Elisabetta Madonna

31 papers receiving 598 citations

Peers

Elisabetta Madonna
Comparison fields: 5 of 46
  • Hepatology 549
  • Infectious Diseases 266
  • Epidemiology 292
  • Small Animals 32
  • Microbiology 14
Replace Hau-Tim Chung with:
Hau-Tim Chung Hong Kong
Ana Maria Passos‐Castilho Brazil
Mohamed Mutocheluh Ghana
Sirapa Klinfueng Thailand
G. Basse France
Enzo Raise Italy
C Molinié France
E. D'Hondt Spain
I. K. Kuramoto United States
Emma Paige Australia
Elisabetta Madonna relative to Hau-Tim Chung Hong Kong Hau-Tim Chung's profile →
Citations per field
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Hau-Tim Chung · 1×
Citations per year

Countries citing papers authored by Elisabetta Madonna

Since Specialization
Citations

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

Fields of papers citing papers by Elisabetta Madonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20240
4 20241
5 20243
6 20233
7 20203
8 20201
9 201828
10 201710
11 201613
12 201511
13 201427
14 201252
15 20122
16 20082
17 200831
18 20067
19 200524
20 199925

About Elisabetta Madonna

Elisabetta Madonna is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 33 papers that have together received 619 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (22 papers), Liver Disease and Transplantation (16 papers), Hepatitis B Virus Studies (11 papers), Hepatitis C virus research (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Liver Diseases and Immunity (9 papers), Liver Disease Diagnosis and Treatment (5 papers) and Systemic Lupus Erythematosus Research (3 papers). The work is most often cited by research in Hepatology (549 citations), Infectious Diseases (266 citations) and Epidemiology (292 citations). Elisabetta Madonna has collaborated with scholars based in Italy, Albania and Bulgaria. Frequent co-authors include Paola Chionne, Anna Rita Ciccaglione, Roberto Bruni, Giulio Pisani, Maria Rapicetta, Enea Spada, Umbertina Villano, Gloria Taliani, Loreta A. Kondili and Cinzia Marcantonio. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of 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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