Junhao Su
Impact in
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- Genomics and Rare Diseases
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- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Molecular Biology Techniques and Applications
- CRISPR and Genetic Engineering
Papers in
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- Genomics and Phylogenetic Studies 5
- Machine Learning in Bioinformatics 2
- Biomedical Text Mining and Ontologies 2
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- Natural Language Processing Techniques 2
- Topic Modeling 2
- Co-authors
- Tak‐Wah Lam (8 shared papers)Ruibang Luo (11 shared papers)Zhenxian Zheng (6 shared papers)Shumin Li (3 shared papers)Amy Wing-Sze Leung (3 shared papers)Tao Jiang (1 shared paper)Hing‐Fung Ting (1 shared paper)Tianyi Zang (1 shared paper)
- Journals
- Clinical Chemistry (1 paper)Scientific Reports (1 paper)NAR Genomics and Bioinformatics (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Junhao Su
13 papers receiving 216 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Genetics 58
- Molecular Biology 140
- Cancer Research 24
- Clinical Biochemistry 8
- Aging 2
Countries citing papers authored by Junhao Su
This map shows the geographic impact of Junhao Su'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 Junhao Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junhao Su more than expected).
Fields of papers citing papers by Junhao Su
This network shows the impact of papers produced by Junhao Su. 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 Junhao Su. The network helps show where Junhao Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Junhao Su, 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 | Symphonizing pileup and full-alignment for deep learning-based long-read variant calling Hit paper breakdown → | 2022 | 139 |
| 2 | 2022 | 15 | |
| 3 | 2022 | 12 | |
| 4 | 2023 | 10 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Junhao Su
Junhao Su is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Infectious Diseases and Virology, having authored 16 papers that have together received 216 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Smart Agriculture and AI (3 papers), Machine Learning in Bioinformatics (2 papers), Natural Language Processing Techniques (2 papers), HIV Research and Treatment (2 papers), Chromosomal and Genetic Variations (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Topic Modeling (2 papers). The work is most often cited by research in Genetics (58 citations), Molecular Biology (140 citations), Cancer Research (24 citations), Clinical Biochemistry (8 citations) and Aging (2 citations). Junhao Su has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tak‐Wah Lam, Ruibang Luo, Zhenxian Zheng, Shumin Li, Amy Wing-Sze Leung, Tao Jiang, Hing‐Fung Ting, Tianyi Zang, Yadong Wang and Yadong Liu. Their work appears in journals such as Clinical Chemistry, Scientific Reports, NAR Genomics and Bioinformatics, Nature Communications and BMC Bioinformatics.
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.