Zhixiang He
- Molecular Biology top 10%
- Oncology top 10%
- Hematology top 5%
- Organic Chemistry
- Cell Biology
- Co-authors
- Tinghu ZhangNathanael S. GrayEric S. FischerKatherine A. DonovanMark P. JedrychowskiRadosław P. NowakNozhat SafaeeStephen L. DeAngelo
- Topics
- Protein Degradation and Inhibitors (11 papers)Ubiquitin and proteasome pathways (8 papers)Multiple Myeloma Research and Treatments (2 papers)
- Cited by
- HematologyMolecular BiologyOncology
- Partner nations
- United StatesChinaFrance
In The Last Decade
Zhixiang He
20 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 1.1k
- Oncology 400
- Hematology 247
- Organic Chemistry 80
- Cell Biology 67
Countries citing papers authored by Zhixiang He
This map shows the geographic impact of Zhixiang He'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 Zhixiang He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhixiang He more than expected).
Fields of papers citing papers by Zhixiang He
This network shows the impact of papers produced by Zhixiang He. 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 Zhixiang He. The network helps show where Zhixiang He may publish in the future.
Co-authorship network of co-authors of Zhixiang He
This figure shows the co-authorship network connecting the top 25 collaborators of Zhixiang He. A scholar is included among the top collaborators of Zhixiang He 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 Zhixiang He. Zhixiang He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 51 | |
| 7 | 4 | |
| 8 | 18 | |
| 9 | 2 | |
| 10 | Light-induced control of protein destruction by opto-PROTACbreakdown → | 226 |
| 11 | A Quantitative Tissue-Specific Landscape of Protein Redox Regulation during Agingbreakdown → | 260 |
| 12 | 14 | |
| 13 | 68 | |
| 14 | 36 | |
| 15 | 57 | |
| 16 | 17 | |
| 17 | Plasticity in binding confers selectivity in ligand-induced protein degradationbreakdown → | 427 |
| 18 | 38 | |
| 19 | 57 | |
| 20 | 12 |
About Zhixiang He
Zhixiang He is a scholar working on Software, Molecular Biology and Hematology, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (11 papers), Ubiquitin and proteasome pathways (8 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (247 citations), Molecular Biology (1.1k citations) and Oncology (400 citations). Zhixiang He has collaborated with scholars based in United States, China and France. Frequent co-authors include Tinghu Zhang, Nathanael S. Gray, Eric S. Fischer, Katherine A. Donovan, Mark P. Jedrychowski, Radosław P. Nowak, Nozhat Safaee, Stephen L. DeAngelo, Mette Ishoey and Joseph D. Mancias. Their work appears in journals such as Cell, Angewandte Chemie International Edition and Nature Communications.
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.