Joshua Meier
Impact in
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- vaccines and immunoinformatics approaches
- Bioinformatics and Genomic Networks
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- Computational Drug Discovery Methods
Papers in
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- RNA and protein synthesis mechanisms 4
- Protein Structure and Dynamics 3
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 2
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- Cytomegalovirus and herpesvirus research 1
- Co-authors
- Jerry Ma (2 shared papers)Tom Sercu (3 shared papers)Alexander Rives (4 shared papers)Rob Fergus (2 shared papers)Siddharth Goyal (1 shared paper)Demi Guo (1 shared paper)Jason Liu (2 shared papers)C. Lawrence Zitnick (1 shared paper)
- Journals
- Nature Methods (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Immunology (1 paper)Frontiers in Immunology (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Joshua Meier
7 papers receiving 1.7k citations
Joshua Meier's Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.3k
- Computational Theory and Mathematics 232
- Microbiology 57
- Radiology, Nuclear Medicine and Imaging 116
- Health Informatics 7
Countries citing papers authored by Joshua Meier
This map shows the geographic impact of Joshua Meier'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 Joshua Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Meier more than expected).
Fields of papers citing papers by Joshua Meier
This network shows the impact of papers produced by Joshua Meier. 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 Joshua Meier. The network helps show where Joshua Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Joshua Meier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences Hit paper breakdown → | 2021 | 1561 |
| 2 | 2005 | 72 | |
| 3 | 2017 | 61 | |
| 4 | 2020 | 4 | |
| 5 | MSA Transformer | 2021 | 3 |
| 6 | Transformer protein language models are unsupervised structure learners | 2021 | 2 |
| 7 | 2025 | 1 |
About Joshua Meier
Joshua Meier is a scholar working on Molecular Biology, Epidemiology, Immunology, Materials Chemistry and Infectious Diseases, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (3 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Enzyme Structure and Function (1 paper), Immune Cell Function and Interaction (1 paper) and Immune Response and Inflammation (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Computational Theory and Mathematics (232 citations), Microbiology (57 citations), Radiology, Nuclear Medicine and Imaging (116 citations) and Health Informatics (7 citations). Joshua Meier has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Jerry Ma, Tom Sercu, Alexander Rives, Rob Fergus, Siddharth Goyal, Demi Guo, Jason Liu, C. Lawrence Zitnick, Zeming Lin and Myle Ott. Their work appears in journals such as Nature Methods, Proceedings of the National Academy of Sciences, The Journal of Immunology, Frontiers in Immunology and arXiv (Cornell University).
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.