Samuel Marguerat

8.3k citations
70 papers · 5.7k indexed · 2 hit papers · h-index 37
Topics
RNA Research and Splicing (26 papers)Fungal and yeast genetics research (20 papers)Genomics and Chromatin Dynamics (18 papers)

In The Last Decade

Samuel Marguerat

69 papers receiving 5.6k citations

Hit Papers

Dynamic repertoire of a eukaryotic transcriptome surveyed...200820262014202020082008250500750

Peers

Samuel Marguerat
Comparison fields: 5 of 165
  • Molecular Biology 4.2k
  • Plant Science 770
  • Genetics 636
  • Cancer Research 580
  • Immunology 443
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 of co-authors of Samuel Marguerat

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Marguerat. A scholar is included among the top collaborators of Samuel Marguerat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Marguerat. Samuel Marguerat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 7
3 13
4 2
5 17
6 5
7 20
8 5
9 54
10 74
11 29
12 44
13 4
14 46
15 28
16 153
17 30
18 35
19 48
20 115

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) and Genomics and Chromatin Dynamics (18 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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