Sha Cao
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Family Practice top 10%
Papers in
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- Gene expression and cancer classification 11
- Epigenetics and DNA Methylation 8
- Single-cell and spatial transcriptomics 7
- Bioinformatics and Genomic Networks 7
- RNA modifications and cancer 6
- Metabolomics and Mass Spectrometry Studies 5
-
- Cancer, Hypoxia, and Metabolism 8
- Cancer Genomics and Diagnostics 7
- Co-authors
- Chi Zhang (24 shared papers)Ying Xu (12 shared papers)Xiaoyu Lu (9 shared papers)Qin Ma (6 shared papers)Changlin Wan (11 shared papers)Wennan Chang (11 shared papers)George E. Sandusky (5 shared papers)Yong Zang (9 shared papers)
- Journals
- Cancer Research (6 papers)Nucleic Acids Research (3 papers)BMC Medical Genomics (3 papers)Scientific Reports (2 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Sha Cao
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 314
- Family Practice 28
- Molecular Biology 664
- Biochemistry 59
- Oncology 193
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 127 | |
| 2 | 2021 | 121 | |
| 3 | 2016 | 105 | |
| 4 | 2018 | 63 | |
| 5 | 2014 | 60 | |
| 6 | 2020 | 59 | |
| 7 | 2020 | 56 | |
| 8 | 2014 | 51 | |
| 9 | 2019 | 44 | |
| 10 | 2019 | 40 | |
| 11 | 2018 | 38 | |
| 12 | 2019 | 36 | |
| 13 | 2019 | 34 | |
| 14 | 2017 | 30 | |
| 15 | 2023 | 27 | |
| 16 | 2023 | 23 | |
| 17 | 2023 | 21 | |
| 18 | 2020 | 17 | |
| 19 | 2015 | 16 | |
| 20 | 2022 | 15 |
About Sha Cao
Sha Cao is a scholar working on Molecular Biology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Epigenetics and DNA Methylation (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Cancer Genomics and Diagnostics (7 papers), Single-cell and spatial transcriptomics (7 papers), Bioinformatics and Genomic Networks (7 papers), RNA modifications and cancer (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Cancer Research (314 citations), Family Practice (28 citations), Molecular Biology (664 citations), Biochemistry (59 citations) and Oncology (193 citations). Sha Cao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Chi Zhang, Ying Xu, Xiaoyu Lu, Qin Ma, Changlin Wan, Wennan Chang, George E. Sandusky, Yong Zang, Huiyan Sun and Zhi Huang. Their work appears in journals such as Cancer Research, Nucleic Acids Research, BMC Medical Genomics, Scientific Reports and Bioinformatics.
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.