Celine Shi
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Polyamine Metabolism and Applications
- RNA modifications and cancer
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 7
- Glycosylation and Glycoproteins Research 2
- Protein Kinase Regulation and GTPase Signaling 2
- RNA and protein synthesis mechanisms 1
- ATP Synthase and ATPases Research 1
- Protein purification and stability 1
- Ubiquitin and proteasome pathways 1
- Epigenetics and DNA Methylation 1
- Oncology 2
- Co-authors
- Ker Yu (6 shared papers)Lourdes Toral‐Barza (5 shared papers)Boris Shor (3 shared papers)Lee M. Greenberger (2 shared papers)Maria Nunes (2 shared papers)Arie Zask (4 shared papers)Jiang Wu (2 shared papers)Judy Lucas (3 shared papers)
- Journals
- Bioconjugate Chemistry (2 papers)Cancer Research (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Biological Chemistry (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Celine Shi
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 768
- Cancer Research 140
- Aging 15
- Pathology and Forensic Medicine 127
- Oncology 165
Countries citing papers authored by Celine Shi
This map shows the geographic impact of Celine Shi'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 Celine Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Celine Shi more than expected).
Fields of papers citing papers by Celine Shi
This network shows the impact of papers produced by Celine Shi. 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 Celine Shi. The network helps show where Celine Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Celine Shi, 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 | 2009 | 278 | |
| 2 | 2010 | 162 | |
| 3 | 2010 | 150 | |
| 4 | 2004 | 129 | |
| 5 | 1999 | 92 | |
| 6 | 2008 | 72 | |
| 7 | 2015 | 50 | |
| 8 | 2001 | 46 | |
| 9 | 2016 | 46 | |
| 10 | 2005 | 22 | |
| 11 | 2014 | 11 |
About Celine Shi
Celine Shi is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Biomaterials, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), RNA and protein synthesis mechanisms (1 paper), ATP Synthase and ATPases Research (1 paper), Protein purification and stability (1 paper), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (768 citations), Cancer Research (140 citations), Aging (15 citations), Pathology and Forensic Medicine (127 citations) and Oncology (165 citations). Celine Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ker Yu, Lourdes Toral‐Barza, Boris Shor, Lee M. Greenberger, Maria Nunes, Arie Zask, Jiang Wu, Judy Lucas, Semiramis Ayral‐Kaloustian and James J. Gibbons. Their work appears in journals such as Bioconjugate Chemistry, Cancer Research, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry and Oncotarget.
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.