Pascal Notin

6 papers receiving 590 citations

Hit Papers

Machine learning for functional protein design 2024 · 118 citations
1182021202620222024100200300

Peers

Pascal Notin
Comparison fields: 5 of 83
  • Health Informatics 12
  • Genetics 179
  • Molecular Biology 390
  • Cancer Research 49
  • Infectious Diseases 60
Replace Joseph Min with:
Joseph Min United States
Juexiao Zhou Saudi Arabia
Muxue Tang China
Avantika Lal United States
Gökhan Karakülah Türkiye
Raphaël Mourad France
Xi Long China
Chenyu Zhu China
Natalie A. Twine Australia
Pemra Özbek Türkiye
Pascal Notin relative to Joseph Min United States Joseph Min's profile →
Citations per field
00.5×3.3×
Joseph Min · 1×
Citations per year

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-authors

The 18 scholars most cited alongside Pascal Notin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Notin Line = papers co-authored together Pascal Notin links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Disease variant prediction with deep generative models of evolutionary data
Hit paper breakdown →
2021375
2
Machine learning for functional protein design
Hit paper breakdown →
2024118
3
Learning from prepandemic data to forecast viral escape
Hit paper breakdown →
202385
4 202217
5 20256
6 20252
7 20230

About Pascal Notin

Pascal Notin is a scholar working on Aging, Business and International Management, Molecular Biology, Genetics and Infectious Diseases, having authored 7 papers that have together received 603 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Protein Structure and Dynamics (2 papers), Machine Learning in Bioinformatics (1 paper), Genetic Associations and Epidemiology (1 paper), Innovation and Socioeconomic Development (1 paper), EEG and Brain-Computer Interfaces (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Health Informatics (12 citations), Genetics (179 citations), Molecular Biology (390 citations), Cancer Research (49 citations) and Infectious Diseases (60 citations). Pascal Notin has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Debora S. Marks, Yarin Gal, Kelly P. Brock, Aidan N. Gomez, Mafalda Dias, Jonathan Frazer, Joseph Min, Chris Sander, Nathan Rollins and Daniel P. Ritter. Their work appears in journals such as Nature, Science, Nature Biotechnology and NeuroImage.

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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