Daifeng Wang
Impact in
-
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Bioinformatics and Genomic Networks 16
- Single-cell and spatial transcriptomics 13
- Gene expression and cancer classification 8
- Gene Regulatory Network Analysis 8
- Genomics and Phylogenetic Studies 3
- Genetics 10
- Genetics and Neurodevelopmental Disorders 6
- Genetic Associations and Epidemiology 3
- Co-authors
- Nam D. Nguyen (5 shared papers)Mark Gerstein (14 shared papers)Joel Rozowsky (5 shared papers)Ting Jin (7 shared papers)Paul Muir (2 shared papers)Farren J. Isaacs (1 shared paper)George M. Weinstock (1 shared paper)Daniel Spakowicz (1 shared paper)
- Journals
- PLoS Computational Biology (4 papers)Bioinformatics (3 papers)Genome biology (3 papers)Genome Medicine (3 papers)Alzheimer s & Dementia (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Daifeng Wang
56 papers receiving 978 citations
Peers
Comparison fields: 5 of 130
- Molecular Biology 548
- Genetics 162
- Cancer Research 73
- Aging 9
- Developmental Neuroscience 18
Countries citing papers authored by Daifeng Wang
This map shows the geographic impact of Daifeng Wang'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 Daifeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daifeng Wang more than expected).
Fields of papers citing papers by Daifeng Wang
This network shows the impact of papers produced by Daifeng Wang. 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 Daifeng Wang. The network helps show where Daifeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daifeng Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 214 | |
| 2 | 2020 | 67 | |
| 3 | 2014 | 54 | |
| 4 | 2023 | 36 | |
| 5 | 2014 | 32 | |
| 6 | 2022 | 30 | |
| 7 | 2022 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2020 | 27 | |
| 10 | 2016 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2020 | 22 | |
| 13 | 2015 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2007 | 19 | |
| 17 | 2021 | 18 | |
| 18 | 2022 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2023 | 16 |
About Daifeng Wang
Daifeng Wang is a scholar working on Molecular Biology, Genetics, Statistical and Nonlinear Physics, Cognitive Neuroscience and Physiology, having authored 58 papers that have together received 984 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Single-cell and spatial transcriptomics (13 papers), Gene expression and cancer classification (8 papers), Gene Regulatory Network Analysis (8 papers), Genetics and Neurodevelopmental Disorders (6 papers), Genetic Associations and Epidemiology (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Biology (548 citations), Genetics (162 citations), Cancer Research (73 citations), Aging (9 citations) and Developmental Neuroscience (18 citations). Daifeng Wang has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Nam D. Nguyen, Mark Gerstein, Joel Rozowsky, Ting Jin, Paul Muir, Farren J. Isaacs, George M. Weinstock, Daniel Spakowicz, Leonidas Salichos and Shantao Li. Their work appears in journals such as PLoS Computational Biology, Bioinformatics, Genome biology, Genome Medicine and Alzheimer s & Dementia.
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.