Daniel Quang
Impact in
- Health Informatics top 5%
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
Papers in
-
- Genomics and Chromatin Dynamics 7
- Genomics and Phylogenetic Studies 6
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Machine Learning in Bioinformatics 1
- Single-cell and spatial transcriptomics 1
- Oncology 2
- Co-authors
- Xiaohui Xie (5 shared papers)Yifei Chen (1 shared paper)Yuanfang Guan (6 shared papers)Stephen C.J. Parker (4 shared papers)Hongyang Li (2 shared papers)Tingyang Li (1 shared paper)Hongjiu Zhang (1 shared paper)Ziyan Wang (1 shared paper)
- Journals
- Bioinformatics (3 papers)Methods (1 paper)Radiology Artificial Intelligence (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel Quang
13 papers receiving 1.7k citations
Daniel Quang's Hit Papers
Peers
Comparison fields: 5 of 123
- Health Informatics 29
- Molecular Biology 1.2k
- Genetics 426
- Cancer Research 173
- Rheumatology 95
Countries citing papers authored by Daniel Quang
This map shows the geographic impact of Daniel Quang'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 Daniel Quang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Quang more than expected).
Fields of papers citing papers by Daniel Quang
This network shows the impact of papers produced by Daniel Quang. 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 Daniel Quang. The network helps show where Daniel Quang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Quang, 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 | DANN: a deep learning approach for annotating the pathogenicity of genetic variants Hit paper breakdown → | 2014 | 682 |
| 2 | DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences Hit paper breakdown → | 2016 | 541 |
| 3 | 2019 | 108 | |
| 4 | 2019 | 94 | |
| 5 | 2019 | 70 | |
| 6 | 2018 | 62 | |
| 7 | 2018 | 43 | |
| 8 | 2014 | 33 | |
| 9 | 2015 | 21 | |
| 10 | 2020 | 18 | |
| 11 | 2018 | 9 | |
| 12 | 2017 | 5 | |
| 13 | 2012 | 2 |
About Daniel Quang
Daniel Quang is a scholar working on Molecular Biology, Oncology, Surgery, Computer Vision and Pattern Recognition and Rheumatology, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Pancreatic function and diabetes (1 paper), Machine Learning in Bioinformatics (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Health Informatics (29 citations), Molecular Biology (1.2k citations), Genetics (426 citations), Cancer Research (173 citations) and Rheumatology (95 citations). Daniel Quang has collaborated with scholars based in United States and China. Frequent co-authors include Xiaohui Xie, Yifei Chen, Yuanfang Guan, Stephen C.J. Parker, Hongyang Li, Tingyang Li, Hongjiu Zhang, Ziyan Wang, Dimitrios A. Pappas and Joel M. Kremer. Their work appears in journals such as Bioinformatics, Methods, Radiology Artificial Intelligence, Proteins Structure Function and Bioinformatics and Genome Research.
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.