Anaı̈s Baudot

2.8k citations
54 papers · 1.6k indexed · h-index 20
Topics
Bioinformatics and Genomic Networks (25 papers)Gene expression and cancer classification (9 papers)Complex Network Analysis Techniques (7 papers)
Partner nations
FranceSpainUnited States

In The Last Decade

Anaı̈s Baudot

46 papers receiving 1.6k citations

Peers

Anaı̈s Baudot
Comparison fields: 5 of 139
  • Molecular Biology 1.1k
  • Computational Theory and Mathematics 211
  • Genetics 185
  • Cancer Research 166
  • Pulmonary and Respiratory Medicine 138
Replace Luca Marchetti with:
Luca Marchetti Italy
Genie Leung Canada
Sol Efroni Israel
Martina Kutmon Netherlands
Seth Berger United States
Goar Frishman Germany
Aziz M. Mezlini United States
Lan K. Nguyen United States
Esti Yeger‐Lotem Israel
Jimin Zhang China
Anaı̈s Baudot relative to Luca Marchetti Italy Luca Marchetti's profile →
Citations per field
00.5×1.5×2.1×
Luca Marchetti · 1×
Citations per year

Countries citing papers authored by Anaı̈s Baudot

Since Specialization
Citations

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

Fields of papers citing papers by Anaı̈s Baudot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anaı̈s Baudot

This figure shows the co-authorship network connecting the top 25 collaborators of Anaı̈s Baudot. A scholar is included among the top collaborators of Anaı̈s Baudot 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 Anaı̈s Baudot. Anaı̈s Baudot 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 0
2 1
3 1
4 2
5 0
6 4
7 7
8 5
9 0
10 3
11 5
12 2
13 3
14 23
15 11
16 187
17 73
18 44
19 34
20 48

About Anaı̈s Baudot

Anaı̈s Baudot is a scholar working on Aging, Health Informatics and Statistical and Nonlinear Physics, having authored 54 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (9 papers) and Complex Network Analysis Techniques (7 papers). The work is most often cited by research in Biological Psychiatry (42 citations), Molecular Biology (1.1k citations) and Computational Theory and Mathematics (211 citations). Anaı̈s Baudot has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Alfonso Valencia, Natalio Krasnogor, Enrico Glaab, Élisabeth Rémy, Rafael Tabarés‐Seisdedos, Reinhard Schneider, Kristina Ibáñez, Christine Brun, Laurent Tichit and César Boullosa. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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