Daniel Robert

401 citations
30 papers · 341 · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Daniel Robert

28 papers receiving 310 citations

Peers

Daniel Robert
Comparison fields: 5 of 62
  • Hepatology 89
  • Epidemiology 119
  • Microbiology 22
  • Biochemistry 14
  • Ecology, Evolution, Behavior and Systematics 40
Replace Chorong Park with:
Chorong Park United States
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Miki Hirata Japan
Ganesh Selvaraj Duraisamy Czechia
Kenichiro Kashiwagi Japan
Chao Ye China
Mohamed Ali Saber Egypt
J. P. Chazalette France
Bärbel Hegenscheid Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Robert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Robert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197692
2 199948
3 198827
4 200023
5 200920
6 200716
7 198713
8
Study of the immunogenicity of ribosomes and ribosomal RNA extracted from K. pneumoniae and S. pneumoniae.
198011
9 198210
10 197410
11 19989
12 19778
13 19818
14 19777
15 19797
16 20066
17 19826
18 19914
19 19873
20 19722

About Daniel Robert

Daniel Robert is a scholar working on Ecology, Evolution, Behavior and Systematics, Epidemiology, Hepatology, Molecular Biology and Immunology, having authored 30 papers that have together received 341 indexed citations. Recurring topics across this work include Plant Reproductive Biology (4 papers), Fern and Epiphyte Biology (4 papers), Insect and Arachnid Ecology and Behavior (3 papers), RNA and protein synthesis mechanisms (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Biocrusts and Microbial Ecology (2 papers), Silicon Effects in Agriculture (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Hepatology (89 citations), Epidemiology (119 citations), Microbiology (22 citations), Biochemistry (14 citations) and Ecology, Evolution, Behavior and Systematics (40 citations). Daniel Robert has collaborated with scholars based in France, Switzerland and United States. Frequent co-authors include A. M. Prince, CHRISTIAN G. TREPO, Jean P. Motin, Juan Carlos Motamayor, Christine Horlow, Jean‐Daniel Tissot, Giorgia Canellini, Sophie Waldvogel, Bernard Ivanoff and Hervé Dutronc. Their work appears in journals such as The Lancet, Infection and Immunity, Journal of Clinical Virology, Journal of Infection and Journal of Plant 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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