Pascal Notin

1.8k total citations · 3 hit papers
7 papers, 603 citations indexed

About

Pascal Notin is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Pascal Notin has authored 7 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Pascal Notin's work include Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). Pascal Notin is often cited by papers focused on Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Phylogenetic Studies (2 papers). Pascal Notin collaborates with scholars based in United Kingdom, United States and Switzerland. Pascal Notin's co-authors include Yarin Gal, Debora S. Marks, Jonathan Frazer, Kelly P. Brock, Joseph Min, Aidan N. Gomez, Mafalda Dias, Chris Sander, Nathan Rollins and Daniel P. Ritter and has published in prestigious journals such as Nature, Science and Nature Biotechnology.

In The Last Decade

Pascal Notin

6 papers receiving 590 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.

Disease variant prediction with deep generative models of evolutionary data

2021 375 citations Jonathan Frazer, Pascal Notin et al. Nature profile →
Machine learning for functional protein design

2024 118 citations Pascal Notin, Nathan Rollins et al. Nature Biotechnology profile →
Learning from prepandemic data to forecast viral escape

2023 85 citations Nicole N. Thadani, Pascal Notin et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Notin United Kingdom	5	390	179	60	49	45	7	603
Joseph Min United States	5	352 0.9×	185 1.0×	18 0.3×	54 1.1×	36 0.8×	6	520
Lijun Quan China	10	421 1.1×	69 0.4×	21 0.3×	27 0.6×	17 0.4×	29	543
Chenyu Zhu China	14	644 1.7×	61 0.3×	11 0.2×	54 1.1×	46 1.0×	36	865
Chuan-Hsiung Chang Taiwan	12	401 1.0×	131 0.7×	16 0.3×	59 1.2×	52 1.2×	17	668
Gökhan Karakülah Türkiye	14	471 1.2×	45 0.3×	101 1.7×	148 3.0×	24 0.5×	63	711
Muxue Tang China	10	256 0.7×	35 0.2×	183 3.0×	47 1.0×	24 0.5×	13	595
Yen-Wei Chu Taiwan	10	387 1.0×	68 0.4×	23 0.4×	43 0.9×	14 0.3×	41	525
Yunxia Sui United States	11	249 0.6×	62 0.3×	22 0.4×	66 1.3×	23 0.5×	18	586
Giovanni Birolo Italy	17	634 1.6×	88 0.5×	19 0.3×	275 5.6×	13 0.3×	40	913
David L. Newsom United States	10	188 0.5×	105 0.6×	53 0.9×	28 0.6×	19 0.4×	11	558

Countries citing papers authored by Pascal Notin

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Notin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Notin

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Notin, Pascal. (2025). AI expands the repertoire of CRISPR-associated proteins for genome editing. Nature. 645(8080). 325–326. 2 indexed citations

2.

Notin, Pascal, et al.. (2025). Evolutionary-scale enzymology enables exploration of a rugged catalytic landscape. Science. 388(6752). eadu1058–eadu1058. 6 indexed citations

3.

Notin, Pascal, Nathan Rollins, Yarin Gal, Chris Sander, & Debora S. Marks. (2024). Machine learning for functional protein design. Nature Biotechnology. 42(2). 216–228. 118 indexed citations breakdown →

4.

Thadani, Nicole N., Pascal Notin, Daniel P. Ritter, et al.. (2023). Learning from prepandemic data to forecast viral escape. Nature. 622(7984). 818–825. 85 indexed citations breakdown →

5.

Dias, Mafalda, et al.. (2023). ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design. 64331–64379.

6.

Gohil, Chetan, Andrew J. Quinn, Usama Pervaiz, et al.. (2022). Mixtures of large-scale dynamic functional brain network modes. NeuroImage. 263. 119595–119595. 17 indexed citations

7.

Frazer, Jonathan, Pascal Notin, Mafalda Dias, et al.. (2021). Disease variant prediction with deep generative models of evolutionary data. Nature. 599(7883). 91–95. 375 indexed citations breakdown →

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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