Joseph Min
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
-
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Single-cell and spatial transcriptomics
- Protein Structure and Dynamics
- CRISPR and Genetic Engineering
Papers in
-
- Genomics and Phylogenetic Studies 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Single-cell and spatial transcriptomics 1
- Receptor Mechanisms and Signaling 1
- Genetics 2
- Genomics and Rare Diseases 1
- Co-authors
- Debora S. Marks (4 shared papers)Aidan N. Gomez (1 shared paper)Yarin Gal (1 shared paper)Kelly P. Brock (1 shared paper)Pascal Notin (1 shared paper)Jonathan Frazer (1 shared paper)Mafalda Dias (1 shared paper)Atsushi Taguchi (1 shared paper)
- Journals
- Nature (2 papers)Nature Methods (1 paper)Nature Plants (1 paper)Hypertension (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Joseph Min
6 papers receiving 572 citations
Joseph Min's Hit Papers
Peers
Comparison fields: 5 of 80
- Genetics 182
- Molecular Biology 349
- Health Informatics 7
- Cancer Research 51
- Molecular Medicine 16
Countries citing papers authored by Joseph Min
This map shows the geographic impact of Joseph Min'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 Joseph Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Min more than expected).
Fields of papers citing papers by Joseph Min
This network shows the impact of papers produced by Joseph Min. 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 Joseph Min. The network helps show where Joseph Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Min, 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 | Disease variant prediction with deep generative models of evolutionary data Hit paper breakdown → | 2021 | 400 |
| 2 | 2024 | 59 | |
| 3 | 2023 | 54 | |
| 4 | 2022 | 34 | |
| 5 | 2020 | 22 | |
| 6 | 2025 | 9 |
About Joseph Min
Joseph Min is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems and Ecology, having authored 6 papers that have together received 578 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Chromosomal and Genetic Variations (1 paper), T-cell and B-cell Immunology (1 paper), Silicon Effects in Agriculture (1 paper), Single-cell and spatial transcriptomics (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Genetics (182 citations), Molecular Biology (349 citations), Health Informatics (7 citations), Cancer Research (51 citations) and Molecular Medicine (16 citations). Joseph Min has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Debora S. Marks, Aidan N. Gomez, Yarin Gal, Kelly P. Brock, Pascal Notin, Jonathan Frazer, Mafalda Dias, Atsushi Taguchi, Zhaoqi Li and Thomas G. Bernhardt. Their work appears in journals such as Nature, Nature Methods, Nature Plants, Hypertension 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.