Dongqing Huang
- Molecular Biology top 5%
- Cell Biology top 5%
- Plant Science top 10%
- Biomedical Engineering
- Oncology
- Co-authors
- Brenda AndrewsPeter J. RoachJason MoffatRichelle SopkoHelena FriesenChristine ChengStephen G. OliverTimothy R. Hughes
- Topics
- Fungal and yeast genetics research (18 papers)DNA Repair Mechanisms (7 papers)Microtubule and mitosis dynamics (5 papers)
- Cited by
- AgingCell BiologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- United StatesChinaCanada
In The Last Decade
Dongqing Huang
37 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.4k
- Cell Biology 344
- Plant Science 277
- Biomedical Engineering 166
- Oncology 122
Countries citing papers authored by Dongqing Huang
This map shows the geographic impact of Dongqing Huang'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 Dongqing Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongqing Huang more than expected).
Fields of papers citing papers by Dongqing Huang
This network shows the impact of papers produced by Dongqing Huang. 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 Dongqing Huang. The network helps show where Dongqing Huang may publish in the future.
Co-authorship network of co-authors of Dongqing Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Dongqing Huang. A scholar is included among the top collaborators of Dongqing Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dongqing Huang. Dongqing Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 81 | |
| 10 | 67 | |
| 11 | 20 | |
| 12 | 35 | |
| 13 | 74 | |
| 14 | 116 | |
| 15 | Mapping Pathways and Phenotypes by Systematic Gene Overexpressionbreakdown → | 508 |
| 16 | 105 | |
| 17 | 34 | |
| 18 | 30 | |
| 19 | 41 | |
| 20 | 76 |
About Dongqing Huang
Dongqing Huang is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Modeling and Simulation and Sensory Systems, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (18 papers), DNA Repair Mechanisms (7 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Aging (37 citations), Cell Biology (344 citations) and Molecular Biology (1.4k citations). Dongqing Huang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Brenda Andrews, Peter J. Roach, Jason Moffat, Richelle Sopko, Helena Friesen, Christine Cheng, Stephen G. Oliver, Timothy R. Hughes, M Snyder and Martha Cyert. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.