Charlotte Rochereau

668 total citations · 1 hit paper
3 papers, 237 citations indexed

About

Charlotte Rochereau is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Charlotte Rochereau has authored 3 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Spectroscopy. Recurrent topics in Charlotte Rochereau's work include RNA and protein synthesis mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). Charlotte Rochereau is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Protein Structure and Dynamics (2 papers) and Machine Learning in Bioinformatics (1 paper). Charlotte Rochereau collaborates with scholars based in United States and Switzerland. Charlotte Rochereau's co-authors include George M. Church, Joanna Zhang, Gustaf Ahdritz, Surojit Biswas, Koushik Roy, Peter K. Sorger, Ratul Chowdhury, Nazim Bouatta, Mohammed AlQuraishi and Anant Kharkar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Bioinformatics.

In The Last Decade

Charlotte Rochereau

3 papers receiving 232 citations

Hit Papers

Single-sequence protein structure prediction using a lang... 2022 2026 2023 2024 2022 50 100 150 200

Peers

Charlotte Rochereau
Comparison fields: 5 of 60
  • Molecular Biology 199
  • Materials Chemistry 44
  • Computational Theory and Mathematics 28
  • Radiology, Nuclear Medicine and Imaging 15
  • Genetics 11
Replace Gustaf Ahdritz with:
Gustaf Ahdritz United States
Nazim Bouatta United States
Matt McPartlon United States
Casper A. Goverde Switzerland
Simona Povilonienė Lithuania
Liwei Chang United States
Tunde Aderinwale United States
Drew Bryant United States
Miguel Romero‐Durana Spain
Gustaf Ahdritz United States View profile →
Citations per field, relative to Charlotte Rochereau
Charlotte Rochereau · 1×
Citations per year, relative to Charlotte Rochereau
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Countries citing papers authored by Charlotte Rochereau

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Rochereau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Rochereau

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte Rochereau. A scholar is included among the top collaborators of Charlotte Rochereau 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 Charlotte Rochereau. Charlotte Rochereau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
# Work Indexed citations
1 2
2 1
3
Single-sequence protein structure prediction using a language model and deep learning breakdown →
234

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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2026