A Mattioli

1.7k citations
49 papers · 1.3k · h-index 23

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver physiology and pathology
    • Transgenic Plants and Applications

Papers in

A Mattioli

48 papers receiving 1.2k citations

Peers

A Mattioli
Comparison fields: 5 of 88
  • Hepatology 306
  • Biotechnology 234
  • Immunology 361
  • Molecular Biology 663
  • Epidemiology 309
Replace Glynn Wilson with:
Glynn Wilson United States
Chen‐Kung Chou Taiwan
Jiong Li China
K Shimotohno Japan
Jörg Haupenthal Germany
K. Tsukamoto Japan
Stefanie C. Fas Germany
Loran M. Killar United States
Fulvia Farabegoli Italy
Randal D. Goff United States
A Mattioli relative to Glynn Wilson United States Glynn Wilson's profile →
Citations per field
00.5×
Glynn Wilson · 1×
Citations per year

Countries citing papers authored by A Mattioli

Since Specialization
Citations

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

Fields of papers citing papers by A Mattioli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1975124
2 1973113
3 199994
4 198161
5 198657
6 197955
7 198051
8 199744
9 200543
10 199139
11 199637
12 198636
13
Pathogenesis of liver necrosis produced by amanitin-albumin conjugates.
197335
14 197534
15 199733
16 199533
17 198230
18 197127
19 200625
20 197625

About A Mattioli

A Mattioli is a scholar working on Molecular Biology, Epidemiology, Genetics, Immunology and Hepatology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Toxin Mechanisms and Immunotoxins (9 papers), Hepatitis B Virus Studies (7 papers), Virus-based gene therapy research (6 papers), Biochemical and Molecular Research (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Hepatitis C virus research (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Hepatology (306 citations), Biotechnology (234 citations), Immunology (361 citations), Molecular Biology (663 citations) and Epidemiology (309 citations). A Mattioli has collaborated with scholars based in Italy, Germany and Spain. Frequent co-authors include L. Fiume, C. Busi, S Sperti, Lucio Montanaro, Fiorenzo Stirpe, Giuseppina Di Stefano, Giorgia Testoni, Pier Giorgio Balboni, G. Barbanti‐Brodano and P. Reggiani. Their work appears in journals such as FEBS Letters, Biochemical Pharmacology, Journal of Hepatology, Biochemical Journal 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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