Tinghu Zhang
- Molecular Biology top 1%
- Oncology top 1%
- Organic Chemistry top 2%
- Hematology top 1%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Nathanael S. GrayEric S. FischerNicholas KwiatkowskiKatherine A. DonovanRichard A. YoungYanke LiangBaishan JiangLyn H. Jones
- Topics
- Protein Degradation and Inhibitors (46 papers)Ubiquitin and proteasome pathways (27 papers)Cancer-related Molecular Pathways (13 papers)
- Cited by
- OncologyMolecular BiologyHematology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Tinghu Zhang
80 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 5.3k
- Oncology 2.3k
- Organic Chemistry 792
- Hematology 719
- Pulmonary and Respiratory Medicine 653
Countries citing papers authored by Tinghu Zhang
This map shows the geographic impact of Tinghu Zhang'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 Tinghu Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tinghu Zhang more than expected).
Fields of papers citing papers by Tinghu Zhang
This network shows the impact of papers produced by Tinghu Zhang. 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 Tinghu Zhang. The network helps show where Tinghu Zhang may publish in the future.
Co-authorship network of co-authors of Tinghu Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Tinghu Zhang. A scholar is included among the top collaborators of Tinghu Zhang 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 Tinghu Zhang. Tinghu Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 8 | |
| 6 | 8 | |
| 7 | 8 | |
| 8 | 80 | |
| 9 | 96 | |
| 10 | 34 | |
| 11 | 18 | |
| 12 | Light-induced control of protein destruction by opto-PROTACbreakdown → | 226 |
| 13 | A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Agingbreakdown → | 260 |
| 14 | 17 | |
| 15 | 13 | |
| 16 | 203 | |
| 17 | 12 | |
| 18 | CDK7-Dependent Transcriptional Addiction in Triple-Negative Breast Cancerbreakdown → | 347 |
| 19 | CDK7 Inhibition Suppresses Super-Enhancer-Linked Oncogenic Transcription in MYCN-Driven Cancer | 1 |
| 20 | Construction of a long-lenth cDNA library for Xinji Fine-wool Sheep skin tissue by use of SMART technique. | 1 |
About Tinghu Zhang
Tinghu Zhang is a scholar working on Oncology, Molecular Biology and Physiology, having authored 81 papers that have together received 6.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (46 papers), Ubiquitin and proteasome pathways (27 papers) and Cancer-related Molecular Pathways (13 papers). The work is most often cited by research in Oncology (2.3k citations), Molecular Biology (5.3k citations) and Hematology (719 citations). Tinghu Zhang has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Nathanael S. Gray, Eric S. Fischer, Nicholas Kwiatkowski, Katherine A. Donovan, Richard A. Young, Yanke Liang, Baishan Jiang, Lyn H. Jones, Radosław P. Nowak and Zhixiang He. Their work appears in journals such as Nature, Science and Cell.
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.