Benoît Baillif

500 total citations · 1 hit paper
4 papers, 330 citations indexed

About

Benoît Baillif is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Pharmacology. According to data from OpenAlex, Benoît Baillif has authored 4 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computational Theory and Mathematics, 3 papers in Materials Chemistry and 2 papers in Pharmacology. Recurrent topics in Benoît Baillif's work include Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Benoît Baillif is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Machine Learning in Materials Science (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). Benoît Baillif collaborates with scholars based in United Kingdom, France and Germany. Benoît Baillif's co-authors include Oscar Méndez‐Lucio, David Rouquié, Joerg Wichard, Djork-Arné Clevert, Andreas Bender, Patrick McCabe, Jason C. Cole and Ilenia Giangreco and has published in prestigious journals such as Nature Communications, Current Opinion in Structural Biology and Frontiers in Chemistry.

In The Last Decade

Benoît Baillif

4 papers receiving 326 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

De novo generation of hit-like molecules from gene expression signatures using artificial intelligence

2020 283 citations Oscar Méndez‐Lucio, Benoît Baillif et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benoît Baillif United Kingdom	3	190	168	129	35	33	4	330
Kwang‐Hwi Cho South Korea	12	98 0.5×	221 1.3×	134 1.0×	63 1.8×	35 1.1×	37	453
Kevin P. Greenman United States	5	228 1.2×	123 0.7×	292 2.3×	79 2.3×	52 1.6×	9	488
Camille Bilodeau United States	10	172 0.9×	195 1.2×	206 1.6×	104 3.0×	48 1.5×	19	462
Charles J. McGill United States	7	230 1.2×	136 0.8×	261 2.0×	80 2.3×	36 1.1×	10	477
Shih‐Cheng Li Taiwan	11	215 1.1×	116 0.7×	293 2.3×	118 3.4×	54 1.6×	20	547
Ariel Adamski Poland	7	141 0.7×	111 0.7×	160 1.2×	66 1.9×	13 0.4×	9	348
Fuchun Ge China	10	100 0.5×	132 0.8×	233 1.8×	49 1.4×	21 0.6×	18	385
Samuel Goldman United States	9	148 0.8×	170 1.0×	134 1.0×	31 0.9×	12 0.4×	12	379

Countries citing papers authored by Benoît Baillif

Since Specialization

Citations

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

Fields of papers citing papers by Benoît Baillif

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Baillif

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

All Works

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4 of 4 papers shown

1.

Baillif, Benoît, Jason C. Cole, Ilenia Giangreco, Patrick McCabe, & Andreas Bender. (2023). Applying atomistic neural networks to bias conformer ensembles towards bioactive-like conformations. Journal of Cheminformatics. 15(1). 124–124. 2 indexed citations

2.

Baillif, Benoît, Jason C. Cole, Patrick McCabe, & Andreas Bender. (2023). Deep generative models for 3D molecular structure. Current Opinion in Structural Biology. 80. 102566–102566. 26 indexed citations

3.

Méndez‐Lucio, Oscar, Benoît Baillif, Djork-Arné Clevert, David Rouquié, & Joerg Wichard. (2020). De novo generation of hit-like molecules from gene expression signatures using artificial intelligence. Nature Communications. 11(1). 10–10. 283 indexed citations breakdown →

4.

Baillif, Benoît, Joerg Wichard, Oscar Méndez‐Lucio, & David Rouquié. (2020). Exploring the Use of Compound-Induced Transcriptomic Data Generated From Cell Lines to Predict Compound Activity Toward Molecular Targets. Frontiers in Chemistry. 8. 296–296. 19 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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