Aiyang Cheng
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Ubiquitin and proteasome pathways
- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
- Fungal and yeast genetics research
- Biochemical and Molecular Research
- Genomics and Chromatin Dynamics
Papers in
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- Enzyme function and inhibition 5
- Ubiquitin and proteasome pathways 4
- Biochemical and Molecular Research 2
- Epigenetics and DNA Methylation 2
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- Microtubule and mitosis dynamics 6
- Co-authors
- Richard E. Honkanen (4 shared papers)Philipp Kaldis (4 shared papers)Mark J. Solomon (5 shared papers)Michael J. Solomon (1 shared paper)Karen Ross (1 shared paper)G M Carlson (3 shared papers)Nicholas M. Dean (1 shared paper)Thomas J. FitzGerald (2 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Cell Cycle (2 papers)Genes & Development (1 paper)BMC Biochemistry (1 paper)FEBS Letters (1 paper)
- Partner nations
- United States
In The Last Decade
Aiyang Cheng
13 papers receiving 688 citations
Peers
Comparison fields: 5 of 67
- Cell Biology 167
- Molecular Biology 556
- Oncology 172
- Cancer Research 61
- Biotechnology 27
Countries citing papers authored by Aiyang Cheng
This map shows the geographic impact of Aiyang Cheng'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 Aiyang Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aiyang Cheng more than expected).
Fields of papers citing papers by Aiyang Cheng
This network shows the impact of papers produced by Aiyang Cheng. 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 Aiyang Cheng. The network helps show where Aiyang Cheng may publish in the future.
Co-authors
The 15 scholars most cited alongside Aiyang Cheng, 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 | 1997 | 185 | |
| 2 | 1999 | 126 | |
| 3 | 2000 | 84 | |
| 4 | 2000 | 53 | |
| 5 | Fostriecin-mediated G2-M-phase growth arrest correlates with abnormal centrosome replication, the formation of aberrant mitotic spindles, and the inhibition of serine/threonine protein phosphatase activity. | 1998 | 50 |
| 6 | 2004 | 48 | |
| 7 | 1985 | 40 | |
| 8 | 2005 | 26 | |
| 9 | 1997 | 23 | |
| 10 | 2008 | 21 | |
| 11 | 2000 | 18 | |
| 12 | 1988 | 17 | |
| 13 | 1988 | 8 |
About Aiyang Cheng
Aiyang Cheng is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Physiology, having authored 13 papers that have together received 699 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Enzyme function and inhibition (5 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), Biochemical and Molecular Research (2 papers), Beetle Biology and Toxicology Studies (2 papers), Epigenetics and DNA Methylation (2 papers) and Erythrocyte Function and Pathophysiology (1 paper). The work is most often cited by research in Cell Biology (167 citations), Molecular Biology (556 citations), Oncology (172 citations), Cancer Research (61 citations) and Biotechnology (27 citations). Aiyang Cheng has collaborated with scholars based in United States. Frequent co-authors include Richard E. Honkanen, Philipp Kaldis, Mark J. Solomon, Michael J. Solomon, Karen Ross, G M Carlson, Nicholas M. Dean, Thomas J. FitzGerald, James E. Ferrell and Wen‐Cheng Xiong. Their work appears in journals such as Journal of Biological Chemistry, Cell Cycle, Genes & Development, BMC Biochemistry and FEBS Letters.
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.