Pierre Boyeau

1.8k total citations · 1 hit paper
5 papers, 243 citations indexed

About

Pierre Boyeau is a scholar working on Molecular Biology, Biophysics and Paleontology. According to data from OpenAlex, Pierre Boyeau has authored 5 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Biophysics and 1 paper in Paleontology. Recurrent topics in Pierre Boyeau's work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers) and Evolution and Paleontology Studies (1 paper). Pierre Boyeau is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers) and Evolution and Paleontology Studies (1 paper). Pierre Boyeau collaborates with scholars based in United States, Israel and Switzerland. Pierre Boyeau's co-authors include Romain Lopez, Nir Yosef, Michael I. Jordan, Ido Amit, Can Ergen, David Pilzer, Eyal David, Baoguo Li, Hadas Keren‐Shaul and Franca Ronchese and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Methods.

In The Last Decade

Pierre Boyeau

5 papers receiving 239 citations

Hit Papers

Predicting cellular responses to complex perturbations in... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pierre Boyeau United States 4 217 63 38 36 11 5 243
Jay S. Stanley United States 4 137 0.6× 44 0.7× 24 0.6× 20 0.6× 4 0.4× 6 175
Shaliu Fu China 10 170 0.8× 19 0.3× 29 0.8× 48 1.3× 10 0.9× 15 228
Fenglan Pang China 7 204 0.9× 34 0.5× 41 1.1× 35 1.0× 3 0.3× 9 232
Gennady Gorin United States 9 247 1.1× 46 0.7× 12 0.3× 32 0.9× 6 0.5× 17 263
Zoë Steier United States 7 249 1.1× 63 1.0× 112 2.9× 38 1.1× 11 1.0× 8 349
Chengwei Zhong Singapore 3 270 1.2× 35 0.6× 35 0.9× 47 1.3× 5 0.5× 3 301
Kenong Su United States 7 164 0.8× 27 0.4× 26 0.7× 48 1.3× 3 0.3× 8 183
Jingyang Qian China 7 198 0.9× 34 0.5× 42 1.1× 39 1.1× 19 1.7× 12 228
Justina Žurauskienė United Kingdom 6 223 1.0× 26 0.4× 31 0.8× 65 1.8× 6 0.5× 9 264
Yinlei Hu China 4 247 1.1× 43 0.7× 60 1.6× 53 1.5× 13 1.2× 6 267

Countries citing papers authored by Pierre Boyeau

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Boyeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Boyeau

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

All Works

5 of 5 papers shown
1.
Boyeau, Pierre, Justin Hong, Adam Gayoso, et al.. (2025). Deep generative modeling of sample-level heterogeneity in single-cell genomics. Nature Methods. 22(11). 2264–2274. 2 indexed citations
2.
Boyeau, Pierre, Jeffrey Regier, Adam Gayoso, et al.. (2023). An empirical Bayes method for differential expression analysis of single cells with deep generative models. Proceedings of the National Academy of Sciences. 120(21). e2209124120–e2209124120. 18 indexed citations
3.
Lotfollahi, Mohammad, Carlo De Donno, Leon Hetzel, et al.. (2023). Predicting cellular responses to complex perturbations in high‐throughput screens. Molecular Systems Biology. 19(6). e11517–e11517. 97 indexed citations breakdown →
4.
Deng, Yun, et al.. (2023). CherryML: scalable maximum likelihood estimation of phylogenetic models. Nature Methods. 20(8). 1232–1236. 8 indexed citations
5.
Lopez, Romain, Baoguo Li, Hadas Keren‐Shaul, et al.. (2022). DestVI identifies continuums of cell types in spatial transcriptomics data. Nature Biotechnology. 40(9). 1360–1369. 118 indexed citations

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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