Jerry Ma
Impact in
- Molecular Biology top 10%
- 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 2
- Protein Structure and Dynamics 2
- Machine Learning in Bioinformatics 1
- Co-authors
- Alexander Rives (2 shared papers)Joshua Meier (2 shared papers)Rob Fergus (2 shared papers)C. Lawrence Zitnick (1 shared paper)Demi Guo (1 shared paper)Tom Sercu (1 shared paper)Zeming Lin (1 shared paper)Myle Ott (1 shared paper)
- Journals
- Quarterly Journal of the Royal Meteorological Society (1 paper)Proceedings of the National Academy of Sciences (1 paper)Atmospheric chemistry and physics (1 paper)arXiv (Cornell University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Jerry Ma
7 papers receiving 1.7k citations
Jerry Ma's Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.3k
- Computational Theory and Mathematics 245
- Signal Processing 150
- Microbiology 52
- Information Systems 174
Countries citing papers authored by Jerry Ma
This map shows the geographic impact of Jerry Ma'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 Jerry Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jerry Ma more than expected).
Fields of papers citing papers by Jerry Ma
This network shows the impact of papers produced by Jerry Ma. 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 Jerry Ma. The network helps show where Jerry Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Jerry Ma, 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 | 1429 |
| 2 | 2014 | 171 | |
| 3 | 2006 | 81 | |
| 4 | 2021 | 18 | |
| 5 | Quasi-hyperbolic momentum and Adam for deep learning | 2018 | 11 |
| 6 | 2004 | 10 | |
| 7 | 2020 | 4 |
About Jerry Ma
Jerry Ma is a scholar working on Molecular Biology, Artificial Intelligence, Atmospheric Science, Global and Planetary Change and Information Systems, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (2 papers), Atmospheric chemistry and aerosols (2 papers), Atmospheric and Environmental Gas Dynamics (2 papers), Protein Structure and Dynamics (2 papers), Atmospheric Ozone and Climate (2 papers), Machine Learning in Bioinformatics (1 paper), Spam and Phishing Detection (1 paper) and Advanced Malware Detection Techniques (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Computational Theory and Mathematics (245 citations), Signal Processing (150 citations), Microbiology (52 citations) and Information Systems (174 citations). Jerry Ma has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Alexander Rives, Joshua Meier, Rob Fergus, C. Lawrence Zitnick, Demi Guo, Tom Sercu, Zeming Lin, Myle Ott, Siddharth Goyal and Jason Liu. Their work appears in journals such as Quarterly Journal of the Royal Meteorological Society, Proceedings of the National Academy of Sciences, Atmospheric chemistry and physics, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.