Bailin Shaw
Impact in
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
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- Carbohydrate Chemistry and Synthesis
Papers in
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- Protein Degradation and Inhibitors 2
- Biochemical and Structural Characterization 1
- Histone Deacetylase Inhibitors Research 1
- Biochemical and Molecular Research 1
- Oncology 2
- Cancer-related Molecular Pathways 1
- Co-authors
- H. Heaslet (1 shared paper)Anil Mistry (1 shared paper)Alita A. Miller (1 shared paper)Clarissa G. Jakob (2 shared papers)Gopal Krishna Purohit (1 shared paper)Mikkel A. Algire (2 shared papers)William N. Pappano (1 shared paper)Jun Guo (1 shared paper)
- Journals
- ACS Medicinal Chemistry Letters (3 papers)Journal of Structural Biology (1 paper)Journal of Medicinal Chemistry (1 paper)PubMed (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Bailin Shaw
6 papers receiving 160 citations
Peers
Comparison fields: 5 of 45
- Molecular Biology 126
- Organic Chemistry 41
- Genetics 28
- Molecular Medicine 4
- Pharmacology 12
Countries citing papers authored by Bailin Shaw
This map shows the geographic impact of Bailin Shaw'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 Bailin Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailin Shaw more than expected).
Fields of papers citing papers by Bailin Shaw
This network shows the impact of papers produced by Bailin Shaw. 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 Bailin Shaw. The network helps show where Bailin Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailin Shaw, 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 | 51 | |
| 2 | 2015 | 48 | |
| 3 | 2018 | 34 | |
| 4 | 2021 | 15 | |
| 5 | Real time PCR expression analysis of gene encoding p5cs enzyme and proline metabolism under NaCI salinity in rice. | 2015 | 14 |
| 6 | 2021 | 2 |
About Bailin Shaw
Bailin Shaw is a scholar working on Molecular Biology, Oncology, Genetics, Plant Science and Cancer Research, having authored 6 papers that have together received 164 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (2 papers), Biochemical and Structural Characterization (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Biochemical and Molecular Research (1 paper), Cancer-related Molecular Pathways (1 paper), Plant Stress Responses and Tolerance (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Molecular Biology (126 citations), Organic Chemistry (41 citations), Genetics (28 citations), Molecular Medicine (4 citations) and Pharmacology (12 citations). Bailin Shaw has collaborated with scholars based in United States and Canada. Frequent co-authors include H. Heaslet, Anil Mistry, Alita A. Miller, Clarissa G. Jakob, Gopal Krishna Purohit, Mikkel A. Algire, William N. Pappano, Jun Guo, Nirupama B. Soni and Fengling Li. Their work appears in journals such as ACS Medicinal Chemistry Letters, Journal of Structural Biology, Journal of Medicinal Chemistry and PubMed.
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.