S. Rossol

4.2k citations
101 papers · 3.4k · h-index 30

Impact in

  • Hepatology top 0.5%
    • Hepatitis C virus research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Hepatitis C virus research 49
    • Liver Diseases and Immunity 7
    • Hepatitis B Virus Studies 33
    • Liver Disease Diagnosis and Treatment 30

S. Rossol

97 papers receiving 3.3k citations

Peers

S. Rossol
Comparison fields: 5 of 104
  • Hepatology 1.2k
  • Immunology 904
  • Epidemiology 1.5k
  • Virology 192
  • Neurology 217
Replace Henning W. Zimmermann with:
Henning W. Zimmermann Germany
Alessandra Vitelli Italy
Dominique Latinne Belgium
John Koskinas Greece
Aldo Dobrina Italy
Alice Assinger Austria
H. Gallati Switzerland
Ricardo Moreno‐Otero Spain
László Romics Hungary
Markus Bosmann United States
S. Rossol relative to Henning W. Zimmermann Germany Henning W. Zimmermann's profile →
Citations per field
00.5×
Henning W. Zimmermann · 1×
Citations per year

Countries citing papers authored by S. Rossol

Since Specialization
Citations

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

Fields of papers citing papers by S. Rossol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994290
2 2000267
3 1997184
4 2005160
5 1984150
6 1989143
7 2000135
8 2006117
9 2003110
10 1995102
11 1998100
12 199999
13 200290
14 198985
15 200382
16 199177
17 199876
18 199070
19 199867
20 199963

About S. Rossol

S. Rossol is a scholar working on Hepatology, Epidemiology, Immunology, Molecular Biology and Rheumatology, having authored 101 papers that have together received 3.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (49 papers), Hepatitis B Virus Studies (33 papers), Liver Disease Diagnosis and Treatment (30 papers), Immune Cell Function and Interaction (11 papers), Immune Response and Inflammation (10 papers), Systemic Lupus Erythematosus Research (9 papers), Liver Diseases and Immunity (7 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Hepatology (1.2k citations), Immunology (904 citations), Epidemiology (1.5k citations), Virology (192 citations) and Neurology (217 citations). S. Rossol has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Nikolai V. Naoumov, P. Carucci, Manfred V. Singer, Klaus Faßbender, Matthew Cramp, Shilpa Chokshi, Ulrich Böcker, M. Dollman, George Marinos and Roger Williams. Their work appears in journals such as Journal of Hepatology, European Journal of Gastroenterology & Hepatology, PLoS ONE, Clinical & Experimental Immunology 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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