Ying Cha
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Oncology top 10%
- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
Papers in
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- Cellular transport and secretion 4
-
- Berberine and alkaloids research 2
- Co-authors
- Joseph Thomas August (4 shared papers)Simon H. Sims (2 shared papers)Margaret F. Romine (2 shared papers)Keith A. Gottlieb (1 shared paper)A. B. Deisseroth (1 shared paper)Albert Deisseroth (3 shared papers)Frank Guarnieri (1 shared paper)Margaret B. Penno (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Stem Cells (1 paper)Archives of Biochemistry and Biophysics (1 paper)DNA and Cell Biology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Ying Cha
12 papers receiving 1k citations
Peers
Comparison fields: 5 of 64
- Cell Biology 254
- Oncology 236
- Immunology 194
- Virology 17
- Molecular Biology 215
Countries citing papers authored by Ying Cha
This map shows the geographic impact of Ying Cha'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 Ying Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Cha more than expected).
Fields of papers citing papers by Ying Cha
This network shows the impact of papers produced by Ying Cha. 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 Ying Cha. The network helps show where Ying Cha may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Cha, 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 | 1993 | 245 | |
| 2 | p53-independent induction of WAF1/CIP1 in human leukemia cells is correlated with growth arrest accompanying monocyte/macrophage differentiation. | 1995 | 235 |
| 3 | 1993 | 155 | |
| 4 | 1988 | 152 | |
| 5 | 1989 | 146 | |
| 6 | 1990 | 50 | |
| 7 | Protective effects of berberine on high fat-induced kidney damage by increasing serum adiponectin and promoting insulin sensitivity. | 2015 | 17 |
| 8 | 1992 | 15 | |
| 9 | 2010 | 12 | |
| 10 | 2016 | 10 | |
| 11 | 1992 | 5 | |
| 12 | 1993 | 1 |
About Ying Cha
Ying Cha is a scholar working on Cell Biology, Pharmacology, Immunology, Hematology and Oncology, having authored 12 papers that have together received 1k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), interferon and immune responses (2 papers), Berberine and alkaloids research (2 papers), Cancer-related Molecular Pathways (1 paper), Adipokines, Inflammation, and Metabolic Diseases (1 paper), Virus-based gene therapy research (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Cell Biology (254 citations), Oncology (236 citations), Immunology (194 citations), Virology (17 citations) and Molecular Biology (215 citations). Ying Cha has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Joseph Thomas August, Simon H. Sims, Margaret F. Romine, Keith A. Gottlieb, A. B. Deisseroth, Albert Deisseroth, Frank Guarnieri, Margaret B. Penno, R.W. Gracy and K. Ümit Yüksel. Their work appears in journals such as Journal of Biological Chemistry, Stem Cells, Archives of Biochemistry and Biophysics, DNA and Cell Biology 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.