Samuel Bottani

1.6k citations
22 papers · 1.0k · h-index 13

Impact in

  • Aging top 10%
    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering

Papers in

Samuel Bottani

21 papers receiving 1.0k citations

Peers

Samuel Bottani
Comparison fields: 5 of 111
  • Aging 23
  • Molecular Biology 687
  • Biophysics 56
  • Genetics 218
  • Plant Science 279
Replace Javier Macía with:
Javier Macía Spain
Qiong Yang United States
Heng Xu United States
Scott Cookson United States
Peter A. Thomason United Kingdom
Rubén Perez‐Carrasco United Kingdom
C. Gustavo Pesce United States
Svetlana Surkova Russia
Octavio Mondragón-Palomino United States
Samuel Bottani relative to Javier Macía Spain Javier Macía's profile →
Citations per field
00.5×2.9×
Javier Macía · 1×
Citations per year

Countries citing papers authored by Samuel Bottani

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Bottani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008221
2 2013158
3 2012158
4 2013103
5 200582
6 201876
7 201560
8 201539
9 201626
10 201625
11 201825
12 202223
13 200720
14 201010
15 20099
16 20213
17 20133
18 20083
19 20162
20 20142

About Samuel Bottani

Samuel Bottani is a scholar working on Molecular Biology, Cognitive Neuroscience, Statistical and Nonlinear Physics, Cellular and Molecular Neuroscience and Genetics, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Gene Regulatory Network Analysis (6 papers), stochastic dynamics and bifurcation (5 papers), Neuroscience and Neural Engineering (3 papers), Chromosomal and Genetic Variations (3 papers), Photoreceptor and optogenetics research (3 papers), CRISPR and Genetic Engineering (3 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Aging (23 citations), Molecular Biology (687 citations), Biophysics (56 citations), Genetics (218 citations) and Plant Science (279 citations). Samuel Bottani has collaborated with scholars based in France, United States and Singapore. Frequent co-authors include Reiner A. Veitia, James A. Birchler, Pascal Hersen, Agnès Miermont, Massimo Vergassola, Aurélien Mazurie, Shiqiong Hu, Sébastien Léon, Megan N. McClean and François Waharte. Their work appears in journals such as Physical review. E, PLoS ONE, Proceedings of the National Academy of Sciences, Trends in Genetics and iScience.

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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