M. Marcolongo

444 citations
8 papers · 353 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatitis C virus research 8
    • Liver Disease Diagnosis and Treatment 5
    • Hepatitis B Virus Studies 3

M. Marcolongo

8 papers receiving 346 citations

Peers

M. Marcolongo
Comparison fields: 5 of 39
  • Hepatology 286
  • Epidemiology 311
  • Rheumatology 30
  • Biochemistry 13
  • Endocrinology, Diabetes and Metabolism 23
Replace Silvia Mirandola with:
Silvia Mirandola Italy
Chifumi Sato Japan
S Tripi Italy
Kenji Yanagi Japan
Shinichi Tozuka Japan
Barbara Lei Italy
Koichiro Kusumoto Japan
C. Figueiredo-Mendes Brazil
Kazuya Okushin Japan
Julia Maltby United Kingdom
M. Marcolongo relative to Silvia Mirandola Italy Silvia Mirandola's profile →
Citations per field
00.5×1.5×
Silvia Mirandola · 1×
Citations per year

Countries citing papers authored by M. Marcolongo

Since Specialization
Citations

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

Fields of papers citing papers by M. Marcolongo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. Marcolongo, 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 M. Marcolongo Line = papers co-authored together M. Marcolongo links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006158
2 200978
3 201138
4 200929
5 200927
6 201119
7 20093
8 20111

About M. Marcolongo

M. Marcolongo is a scholar working on Hepatology, Epidemiology, Genetics, Immunology and Pathology and Forensic Medicine, having authored 8 papers that have together received 353 indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Hepatitis B Virus Studies (3 papers), Diabetes and associated disorders (3 papers), interferon and immune responses (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Alcohol Consumption and Health Effects (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Hepatology (286 citations), Epidemiology (311 citations), Rheumatology (30 citations), Biochemistry (13 citations) and Endocrinology, Diabetes and Metabolism (23 citations). M. Marcolongo has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include A. Albertí, Silvia Mirandola, Gladis Bortoletto, Stefano Realdon, Francesca Dal Pero, M. Gerotto, Christian Datz, Alessandro Vario, Jahangir Iqbal and M. Mahmood Hussain. Their work appears in journals such as Journal of Hepatology, Hepatology, Journal of Viral Hepatitis, Liver International and Gastroenterology.

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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