Sha Cao
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
-
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
Papers in
-
- Cancer Genomics and Diagnostics 5
- Cancer, Hypoxia, and Metabolism 5
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- Gene expression and cancer classification 11
- Single-cell and spatial transcriptomics 7
- RNA modifications and cancer 6
- Bioinformatics and Genomic Networks 6
- Epigenetics and DNA Methylation 5
- Co-authors
- Ying Xu (14 shared papers)Chi Zhang (25 shared papers)George Earl Sandusky (4 shared papers)Xiaoyu Lu (6 shared papers)Huiyan Sun (2 shared papers)Yunlong Liu (2 shared papers)Qin Ma (6 shared papers)Bryan P. Toole (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)International Journal of Cancer (3 papers)BMC Medical Genomics (3 papers)Scientific Reports (3 papers)Pharmaceutical Statistics (2 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Sha Cao
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 283
- Molecular Biology 589
- Biochemistry 60
- Oncology 205
- Family Practice 13
Countries citing papers authored by Sha Cao
This map shows the geographic impact of Sha Cao'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 Sha Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Cao more than expected).
Fields of papers citing papers by Sha Cao
This network shows the impact of papers produced by Sha Cao. 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 Sha Cao. The network helps show where Sha Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 161 | |
| 2 | 2016 | 112 | |
| 3 | 2020 | 90 | |
| 4 | 2018 | 72 | |
| 5 | 2020 | 67 | |
| 6 | 2020 | 63 | |
| 7 | 2014 | 63 | |
| 8 | 2014 | 53 | |
| 9 | 2019 | 49 | |
| 10 | 2018 | 46 | |
| 11 | 2019 | 42 | |
| 12 | 2019 | 37 | |
| 13 | 2019 | 35 | |
| 14 | 2023 | 33 | |
| 15 | 2017 | 31 | |
| 16 | 2023 | 28 | |
| 17 | Genetically programmed alternative splicing of NEMO mediates an autoinflammatory disease phenotype | 2022 | 27 |
| 18 | 2023 | 24 | |
| 19 | 2020 | 18 | |
| 20 | 2024 | 18 |
About Sha Cao
Sha Cao is a scholar working on Cancer Research, Molecular Biology, Immunology, Statistics and Probability and Oncology, having authored 67 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Single-cell and spatial transcriptomics (7 papers), RNA modifications and cancer (6 papers), Bioinformatics and Genomic Networks (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Statistical Methods in Clinical Trials (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Cancer Research (283 citations), Molecular Biology (589 citations), Biochemistry (60 citations), Oncology (205 citations) and Family Practice (13 citations). Sha Cao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Ying Xu, Chi Zhang, George Earl Sandusky, Xiaoyu Lu, Huiyan Sun, Yunlong Liu, Qin Ma, Bryan P. Toole, Ning Dong and Pankaj K. Singh. Their work appears in journals such as Nucleic Acids Research, International Journal of Cancer, BMC Medical Genomics, Scientific Reports and Pharmaceutical Statistics.
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.