Ivan Borozan

17.2k citations
18 papers · 1.1k · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 3
    • Gene expression and cancer classification 2
    • Hepatitis C virus research 3
    • Liver Disease and Transplantation 2
    • Liver Diseases and Immunity 1

Ivan Borozan

18 papers receiving 1.1k citations

Peers

Ivan Borozan
Comparison fields: 5 of 83
  • Hepatology 419
  • Rheumatology 126
  • Immunology 178
  • Epidemiology 263
  • Biochemistry 44
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C Bréchot France
Romain Parent France
Keiko Miyano Japan
Volker Brass Germany
Marie-Anne Petit France
Takahiro Masaki Japan
Marcello Merola Italy
Gabrielle Vièyres Germany
Yun-Sook Lim South Korea
Richard Y.‐H. Wang United States
Ivan Borozan relative to C Bréchot France C Bréchot's profile →
Citations per field
00.5×3.8×
C Bréchot · 1×
Citations per year

Countries citing papers authored by Ivan Borozan

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Borozan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2005360
2 2006253
3 200988
4 201764
5 201250
6 200635
7 201834
8 201230
9 201328
10 201527
11 200025
12 200923
13 200218
14 200814
15 200812
16 200810
17 20152
18
Gene expression profiling of hepatocellular cancer identifies a consistent pattern in cancerous and distant liver tissue: Arguments for a field defect
20051

About Ivan Borozan

Ivan Borozan is a scholar working on Molecular Biology, Hepatology, Epidemiology, Surgery and Oncology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Hepatitis C virus research (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Gene expression and cancer classification (2 papers), Liver Disease and Transplantation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Viral-associated cancers and disorders (2 papers) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Hepatology (419 citations), Rheumatology (126 citations), Immunology (178 citations), Epidemiology (263 citations) and Biochemistry (44 citations). Ivan Borozan has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include A.M. Edwards, Ian D. McGilvray, Limin Chen, Jenny Heathcote, Jordan J. Feld, Jing Sun, Catalina Coltescu, Vincent Ferretti, Stuart Watt and Lori Frappier. Their work appears in journals such as Gastroenterology, Journal of Virology, BMC Bioinformatics, Bioinformatics and Cancer Research.

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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