Jason Liu
- Molecular Biology top 5%
- Computational Theory and Mathematics top 2%
- Genetics
- Pulmonary and Respiratory Medicine
- Materials Chemistry
- Co-authors
- Myle OttZeming LinJerry MaC. Lawrence ZitnickRob FergusSiddharth GoyalDemi GuoAlexander Rives
- Topics
- Genomics and Chromatin Dynamics (7 papers)Single-cell and spatial transcriptomics (5 papers)RNA and protein synthesis mechanisms (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Jason Liu
34 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 1.6k
- Computational Theory and Mathematics 249
- Genetics 139
- Pulmonary and Respiratory Medicine 133
- Materials Chemistry 128
Countries citing papers authored by Jason Liu
This map shows the geographic impact of Jason Liu'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 Jason Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Liu more than expected).
Fields of papers citing papers by Jason Liu
This network shows the impact of papers produced by Jason Liu. 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 Jason Liu. The network helps show where Jason Liu may publish in the future.
Co-authorship network of co-authors of Jason Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Liu. A scholar is included among the top collaborators of Jason Liu 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 Jason Liu. Jason Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequencesbreakdown → | 1429 |
| 9 | 12 | |
| 10 | 15 | |
| 11 | 18 | |
| 12 | 8 | |
| 13 | 20 | |
| 14 | 35 | |
| 15 | 4 | |
| 16 | Dissecting Cellulase Hypersecretion in Neurospora crassa | 0 |
| 17 | 22 | |
| 18 | 33 | |
| 19 | 113 | |
| 20 | 11 |
About Jason Liu
Jason Liu is a scholar working on Aging, Molecular Biology and Biophysics, having authored 37 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Single-cell and spatial transcriptomics (5 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Aging (111 citations), Molecular Biology (1.6k citations) and Computational Theory and Mathematics (249 citations). Jason Liu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Myle Ott, Zeming Lin, Jerry Ma, C. Lawrence Zitnick, Rob Fergus, Siddharth Goyal, Demi Guo, Alexander Rives, Tom Sercu and Joshua Meier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.