S. Süsser

2.3k citations
61 papers · 1.7k · h-index 21

Impact in

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

Papers in

    • Hepatitis C virus research 51
    • Hepatitis B Virus Studies 16
    • Liver Disease Diagnosis and Treatment 6

S. Süsser

61 papers receiving 1.6k citations

Peers

S. Süsser
Comparison fields: 5 of 62
  • Hepatology 1.3k
  • Epidemiology 859
  • Infectious Diseases 340
  • Cancer Research 150
  • Virology 48
Replace Hideharu Harada with:
Hideharu Harada Japan
Tomoyoshi Ohno Japan
Jane Fang United States
Mani Subramanian United States
Taisuke Inoue Japan
Carmen Gallegos Spain
Rosendo Jardí Spain
Philip Hilgard Germany
C. Bréchot France
Stewart Cooper United States
S. Süsser relative to Hideharu Harada Japan Hideharu Harada's profile →
Citations per field
00.5×6.8×
Hideharu Harada · 1×
Citations per year

Countries citing papers authored by S. Süsser

Since Specialization
Citations

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

Fields of papers citing papers by S. Süsser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009252
2 2010191
3 2011116
4 201187
5 201281
6 201376
7 201266
8 200865
9 201561
10 201253
11 201139
12 201239
13 201536
14 201434
15 201333
16 201232
17 201130
18 201327
19 201826
20 201823

About S. Süsser

S. Süsser is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (51 papers), Hepatitis B Virus Studies (16 papers), HIV/AIDS drug development and treatment (10 papers), Liver Disease Diagnosis and Treatment (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Diabetes and associated disorders (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Hepatology (1.3k citations), Epidemiology (859 citations), Infectious Diseases (340 citations), Cancer Research (150 citations) and Virology (48 citations). S. Süsser has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Christoph Sarrazin, Stefan Zeuzem, Eva Herrmann, Johannes Vermehren, D. Perner, Thomas Berg, Stefan Zeuzem, Christoph Welsch, Jörn Lötsch and Julia Dietz. Their work appears in journals such as Journal of Hepatology, PLoS ONE, Journal of Viral Hepatitis, Antiviral Therapy 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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