Chang-Deng Hu
- Molecular Biology top 5%
- Cell Biology top 2%
- Biophysics top 0.5%
- Epidemiology top 10%
- Plant Science top 10%
- Co-authors
- Tom K. KerppolaYurii ChinenovAsya V. GrinbergTohru KataokaChunhua SongYanhong LiaoXianlong GaoTakaya Satoh
- Topics
- Protein Kinase Regulation and GTPase Signaling (4 papers)Photosynthetic Processes and Mechanisms (3 papers)Advanced Fluorescence Microscopy Techniques (3 papers)
- Cited by
- BiophysicsAgingCell Biology
- Partner nations
- United StatesJapanChina
In The Last Decade
Chang-Deng Hu
20 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 2.3k
- Cell Biology 559
- Biophysics 383
- Epidemiology 378
- Plant Science 352
Countries citing papers authored by Chang-Deng Hu
This map shows the geographic impact of Chang-Deng Hu'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 Chang-Deng Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Deng Hu more than expected).
Fields of papers citing papers by Chang-Deng Hu
This network shows the impact of papers produced by Chang-Deng Hu. 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 Chang-Deng Hu. The network helps show where Chang-Deng Hu may publish in the future.
Co-authorship network of co-authors of Chang-Deng Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Deng Hu. A scholar is included among the top collaborators of Chang-Deng Hu 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 Chang-Deng Hu. Chang-Deng Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 44 | |
| 3 | 32 | |
| 4 | 23 | |
| 5 | 24 | |
| 6 | 300 | |
| 7 | 53 | |
| 8 | 98 | |
| 9 | 19 | |
| 10 | 90 | |
| 11 | 74 | |
| 12 | 4 | |
| 13 | 118 | |
| 14 | Simultaneous visualization of multiple protein interactions in living cells using multicolor fluorescence complementation analysisbreakdown → | 639 |
| 15 | Visualization of Interactions among bZIP and Rel Family Proteins in Living Cells Using Bimolecular Fluorescence Complementationbreakdown → | 1256 |
| 16 | 116 | |
| 17 | 79 | |
| 18 | 11 | |
| 19 | 46 | |
| 20 | 11 |
About Chang-Deng Hu
Chang-Deng Hu is a scholar working on Aging, Biophysics and Molecular Biology, having authored 20 papers that have together received 3.1k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Biophysics (383 citations), Aging (80 citations) and Cell Biology (559 citations). Chang-Deng Hu has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Tom K. Kerppola, Yurii Chinenov, Asya V. Grinberg, Tohru Kataoka, Chunhua Song, Yanhong Liao, Xianlong Gao, Takaya Satoh, Arun Sharma and Megan M. Young. Their work appears in journals such as Nucleic Acids Research, 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.