Hongjun Shu
Impact in
- Cell Biology top 1%
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Microtubule and mitosis dynamics 4
- Cellular transport and secretion 2
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- Ubiquitin and proteasome pathways 4
- Mitochondrial Function and Pathology 3
- Protein Kinase Regulation and GTPase Signaling 3
- Cell death mechanisms and regulation 3
- 14-3-3 protein interactions 3
- Co-authors
- Yingming ZhaoMarc C. MumbyShe ChenKotaro KanekoAlex VassilevMelvin DepamphilisHongtao YuZhanyun Tang
- Journals
- Molecular Cell (4 papers)Journal of Biological Chemistry (4 papers)Molecular & Cellular Proteomics (3 papers)Molecular Microbiology (1 paper)Electrophoresis (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Hongjun Shu
24 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cell Biology 1.1k
- Spectroscopy 700
- Molecular Biology 2.6k
- Immunology 400
- Aging 30
Countries citing papers authored by Hongjun Shu
This map shows the geographic impact of Hongjun Shu'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 Hongjun Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongjun Shu more than expected).
Fields of papers citing papers by Hongjun Shu
This network shows the impact of papers produced by Hongjun Shu. 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 Hongjun Shu. The network helps show where Hongjun Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongjun Shu, 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 | 2024 | 9 | |
| 2 | 2023 | 3 | |
| 3 | 2011 | 20 | |
| 4 | 2009 | 63 | |
| 5 | 2008 | 21 | |
| 6 | 2006 | 19 | |
| 7 | 2006 | 263 | |
| 8 | 2006 | 14 | |
| 9 | 2006 | 46 | |
| 10 | 2005 | 81 | |
| 11 | 2004 | 227 | |
| 12 | 2004 | 64 | |
| 13 | 2004 | 66 | |
| 14 | 2004 | 0 | |
| 15 | 2003 | 316 | |
| 16 | 2003 | 214 | |
| 17 | 2002 | 306 | |
| 18 | 2002 | 326 | |
| 19 | 2001 | 249 | |
| 20 | TEAD/TEF transcription factors utilize the activation domain of YAP65, a Src/Yes-associated protein localized in the cytoplasm Hit paper breakdown → | 2001 | 577 |
About Hongjun Shu
Hongjun Shu is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Immunology and Spectroscopy, having authored 25 papers that have together received 3.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (4 papers), Mitochondrial Function and Pathology (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell death mechanisms and regulation (3 papers), 14-3-3 protein interactions (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cell Biology (1.1k citations), Spectroscopy (700 citations), Molecular Biology (2.6k citations), Immunology (400 citations) and Aging (30 citations). Hongjun Shu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yingming Zhao, Marc C. Mumby, She Chen, Kotaro Kaneko, Alex Vassilev, Melvin Depamphilis, Hongtao Yu, Zhanyun Tang, Stephen Tanner and Ari Frank. Their work appears in journals such as Molecular Cell, Journal of Biological Chemistry, Molecular & Cellular Proteomics, Molecular Microbiology and Electrophoresis.
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.