Erwin Sablon

5.9k citations
79 papers · 3.4k · h-index 33

Impact in

  • Hepatology top 0.2%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
  • Epidemiology top 0.5%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 49
    • Liver Disease Diagnosis and Treatment 29
    • Hepatitis C virus research 43

Erwin Sablon

78 papers receiving 3.3k citations

Peers

Erwin Sablon
Comparison fields: 5 of 84
  • Hepatology 1.8k
  • Epidemiology 2.4k
  • Infectious Diseases 274
  • Microbiology 62
  • Immunology 163
Replace Yu‐Mei Wen with:
Yu‐Mei Wen China
Dieter Glebe Germany
K Nishioka Japan
Ejuan Zhang China
Peter Revill Australia
Alexander W. Tarr United Kingdom
Luisa M. Stamm United States
Geneviève Inchauspé France
Chung‐Mei Ling United States
Kathie‐Anne Walters United States
Erwin Sablon relative to Yu‐Mei Wen China Yu‐Mei Wen's profile →
Citations per field
00.5×2.9×
Yu‐Mei Wen · 1×
Citations per year

Countries citing papers authored by Erwin Sablon

Since Specialization
Citations

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

Fields of papers citing papers by Erwin Sablon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001328
2 2007245
3 2004191
4 2003175
5 1994162
6 2014140
7 2003134
8 2002131
9 200997
10 200694
11 200888
12 200385
13 200080
14 200374
15 199769
16 200268
17 200565
18 200065
19 200461
20 200653

About Erwin Sablon

Erwin Sablon is a scholar working on Epidemiology, Hepatology, Molecular Biology, Infectious Diseases and Cancer Research, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (49 papers), Hepatitis C virus research (43 papers), Liver Disease Diagnosis and Treatment (29 papers), HIV/AIDS drug development and treatment (10 papers), Cancer Genomics and Diagnostics (9 papers), Colorectal Cancer Treatments and Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Hepatology (1.8k citations), Epidemiology (2.4k citations), Infectious Diseases (274 citations), Microbiology (62 citations) and Immunology (163 citations). Erwin Sablon has collaborated with scholars based in Belgium, China and Hong Kong. Frequent co-authors include Ching‐Lung Lai, Man‐Fung Yuen, Chee Kin Hui, Hilde Decraemer, Pietro Lampertico, Benjamin Chun–Yu Wong, Danny Ka‐Ho Wong, He‐Jun Yuan, Anna S. Lok and Mauro Viganò. Their work appears in journals such as Journal of Clinical Microbiology, Hepatology, Journal of Hepatology, Journal of Medical Virology and Annals of Oncology.

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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