S Guilhot

2.3k citations
20 papers · 1.9k · h-index 16

Impact in

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

Papers in

    • Hepatitis B Virus Studies 12
    • Liver Disease Diagnosis and Treatment 2
    • Immunotherapy and Immune Responses 7

S Guilhot

20 papers receiving 1.9k citations

Peers

S Guilhot
Comparison fields: 5 of 72
  • Hepatology 1.0k
  • Epidemiology 1.3k
  • Immunology 649
  • Virology 138
  • Infectious Diseases 245
Replace Ranjit Ray with:
Ranjit Ray United States
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Ruth Broering Germany
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C Pasquinelli United States
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Citations per field
00.5×1.5×
Ranjit Ray · 1×
Citations per year

Countries citing papers authored by S Guilhot

Since Specialization
Citations

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

Fields of papers citing papers by S Guilhot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1990300
2 1993287
3 1991250
4 1993192
5 1989189
6 1993155
7 1994110
8 1994108
9 199365
10 199261
11 199461
12 199244
13
A 0.9 pJ/bit, 12.8 GByte/s WideIO memory interface in a 3D-IC NoC-based MPSoC
201333
14 198924
15
Apoptosis induced by tumor necrosis factor-alpha in rat hepatocyte cell lines expressing hepatitis B virus.
199624
16 198524
17 19868
18 19876
19 19884
20 19831

About S Guilhot

S Guilhot is a scholar working on Epidemiology, Immunology, Molecular Biology, Genetics and Hepatology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (12 papers), Immunotherapy and Immune Responses (7 papers), Hepatitis C virus research (4 papers), Animal Virus Infections Studies (2 papers), Transgenic Plants and Applications (2 papers), Virus-based gene therapy research (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (1.0k citations), Epidemiology (1.3k citations), Immunology (649 citations), Virology (138 citations) and Infectious Diseases (245 citations). S Guilhot has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Francis V. Chisari, P Fowler, H J Schlicht, Gabriele Missale, Carlo Ferrari, Luca G. Guidotti, Antonio Bertoletti, A. G. Redeker, Amalia Penna and Antonella Vitiello. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Gene, The Journal of Immunology and Science.

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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