Samuel Marguerat

8.3k citations
70 papers · 5.7k indexed · 2 hit papers · h-index 37
    • RNA Research and Splicing 26
    • Fungal and yeast genetics research 20
    • Genomics and Chromatin Dynamics 18
    • RNA and protein synthesis mechanisms 14
    • Gene Regulatory Network Analysis 11
    • RNA modifications and cancer 10
    • Bioinformatics and Genomic Networks 7
  • Aging top 5%
  • Genetics top 5%
    • T-cell and B-cell Immunology 7

Samuel Marguerat

69 papers receiving 5.6k citations

Hit Papers

Tuning gene expression to changing environments: from rap...7502008202620142020250500750

Peers

Samuel Marguerat
Comparison fields: 5 of 165
  • Molecular Biology 4.2k
  • Aging 89
  • Cancer Research 580
  • Genetics 636
  • Endocrinology 111
Replace Geet Duggal with:
Geet Duggal United States
Xiaosong Huang United States
Attila Csordás United Kingdom
Nives Škunca Switzerland
Dustin Ebert United States
Xijin Ge United States
Fran Supek Spain
Zehan Dai China
Xiaocong Fu China
Alok J. Saldanha United States
Samuel Marguerat relative to Geet Duggal United States Geet Duggal's profile →
Citations per field
00.5×11.4×
Geet Duggal · 1×
Citations per year

Countries citing papers authored by Samuel Marguerat

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Marguerat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 20237
3 202313
4 20232
5 202317
6 20235
7 202220
8 20225
9 202154
10 201974
11 201829
12 201844
13 20154
14 201446
15 201328
16 2012153
17 201130
18 201135
19 200648
20 2001115

About Samuel Marguerat

Samuel Marguerat is a scholar working on Molecular Biology, Endocrinology and Cancer Research, having authored 70 papers that have together received 5.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (26 papers), Fungal and yeast genetics research (20 papers), Genomics and Chromatin Dynamics (18 papers), RNA and protein synthesis mechanisms (14 papers), Gene Regulatory Network Analysis (11 papers), RNA modifications and cancer (10 papers), Bioinformatics and Genomic Networks (7 papers) and T-cell and B-cell Immunology (7 papers). The work is most often cited by research in Molecular Biology (4.2k citations), Aging (89 citations) and Cancer Research (580 citations). Samuel Marguerat has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jürg Bähler, Luis López‐Maury, Brian T. Wilhelm, Stephen Watt, Juan Mata, Falk Schubert, Ian Goodhead, Sandra Codlin, Christopher J. Penkett and Jane Rogers. Their work appears in journals such as Nature, Cell and Nucleic Acids 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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