Dan Chu
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Cellular transport and secretion
Papers in
-
- Circular RNAs in diseases 6
- RNA modifications and cancer 3
-
- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 5
- Co-authors
- S R Heidemann (2 shared papers)Harish Chandra Joshi (1 shared paper)Robert E. Buxbaum (1 shared paper)Steven R. Heidemann (1 shared paper)Peter W. Baas (1 shared paper)Harish C. Joshi (1 shared paper)Buer Song (1 shared paper)Steven E. Lindley (1 shared paper)
- Journals
- The Journal of Cell Biology (2 papers)Transactions of the ASABE (1 paper)The Journal of Gene Medicine (1 paper)Molecular and Cellular Biochemistry (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Dan Chu
19 papers receiving 481 citations
Peers
Comparison fields: 5 of 83
- Cell Biology 255
- Developmental Neuroscience 26
- Cellular and Molecular Neuroscience 86
- Cancer Research 62
- Molecular Biology 216
Countries citing papers authored by Dan Chu
This map shows the geographic impact of Dan Chu'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 Dan Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chu more than expected).
Fields of papers citing papers by Dan Chu
This network shows the impact of papers produced by Dan Chu. 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 Dan Chu. The network helps show where Dan Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Chu, 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 | 1985 | 214 | |
| 2 | 1984 | 55 | |
| 3 | 1986 | 52 | |
| 4 | 2010 | 30 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2019 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 3 | |
| 19 | [Expression and bioactivity effects to Hela of recombinant toxin protein rLj-RGD3 from Lampetra japonica]. | 2009 | 1 |
| 20 | 2025 | 0 |
About Dan Chu
Dan Chu is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 20 papers that have together received 493 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (5 papers), Microtubule and mitosis dynamics (3 papers), RNA modifications and cancer (3 papers), Sperm and Testicular Function (2 papers), Electric Vehicles and Infrastructure (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Cell Biology (255 citations), Developmental Neuroscience (26 citations), Cellular and Molecular Neuroscience (86 citations), Cancer Research (62 citations) and Molecular Biology (216 citations). Dan Chu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include S R Heidemann, Harish Chandra Joshi, Robert E. Buxbaum, Steven R. Heidemann, Peter W. Baas, Harish C. Joshi, Buer Song, Steven E. Lindley, Maoliang Ran and Xiangwei Tang. Their work appears in journals such as The Journal of Cell Biology, Transactions of the ASABE, The Journal of Gene Medicine, Molecular and Cellular Biochemistry and Frontiers in Oncology.
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.