Zhi‐Liang Chu
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Immunology top 5%
- Cancer Research top 5%
- Surgery top 10%
- Co-authors
- Dean W. BallardTimothy A. McKinseyLily LiuMichael H. MalimJames LeonardRobert M. JonesChristopher J. CarrollHongmei He
- Topics
- Diabetes Treatment and Management (6 papers)Immune Response and Inflammation (4 papers)Receptor Mechanisms and Signaling (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryMolecular and Cellular Biology
- Partner nations
- United StatesChinaCanada
In The Last Decade
Zhi‐Liang Chu
19 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 633
- Immunology 558
- Cancer Research 515
- Surgery 472
Countries citing papers authored by Zhi‐Liang Chu
This map shows the geographic impact of Zhi‐Liang 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 Zhi‐Liang Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhi‐Liang Chu more than expected).
Fields of papers citing papers by Zhi‐Liang Chu
This network shows the impact of papers produced by Zhi‐Liang 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 Zhi‐Liang Chu. The network helps show where Zhi‐Liang Chu may publish in the future.
Co-authorship network of co-authors of Zhi‐Liang Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Zhi‐Liang Chu. A scholar is included among the top collaborators of Zhi‐Liang Chu 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 Zhi‐Liang Chu. Zhi‐Liang Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 53 | |
| 9 | 39 | |
| 10 | 10 | |
| 11 | 103 | |
| 12 | 321 | |
| 13 | 117 | |
| 14 | 248 | |
| 15 | 152 | |
| 16 | 112 | |
| 17 | 44 | |
| 18 | 46 | |
| 19 | Suppression of tumor necrosis factor-induced cell death by inhibitor of apoptosis c-IAP2 is under NF-κB controlbreakdown → | 778 |
| 20 | 78 |
About Zhi‐Liang Chu
Zhi‐Liang Chu is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Immunology, having authored 20 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Immune Response and Inflammation (4 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (633 citations), Cancer Research (515 citations) and Immunology (558 citations). Zhi‐Liang Chu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Dean W. Ballard, Timothy A. McKinsey, Lily Liu, Michael H. Malim, James Leonard, Robert M. Jones, Christopher J. Carroll, Hongmei He, Dominic P. Behan and Verónica Gutiérrez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.