Chao Sima
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
Papers in
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- Statistical Methods and Inference 5
-
- Cancer-related molecular mechanisms research 4
- Co-authors
- Edward R. DoughertyJianping HuaMichael BittnerDaniel D. Von HoffJanine LoBelloH. Michael ShepardHaiyong HanGalen Hostetter
- Journals
- Bioinformatics (5 papers)Pattern Recognition (4 papers)Cancer Research (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)PLoS ONE (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Chao Sima
50 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Cancer Research 414
- Oncology 441
- Molecular Biology 907
- Statistics and Probability 79
- Artificial Intelligence 286
Countries citing papers authored by Chao Sima
This map shows the geographic impact of Chao Sima'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 Chao Sima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Sima more than expected).
Fields of papers citing papers by Chao Sima
This network shows the impact of papers produced by Chao Sima. 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 Chao Sima. The network helps show where Chao Sima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao Sima, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 2 | |
| 7 | 2018 | 73 | |
| 8 | 2018 | 5 | |
| 9 | Desmoplasia in Primary Tumors and Metastatic Lesions of Pancreatic Cancer Hit paper breakdown → | 2015 | 469 |
| 10 | 2014 | 31 | |
| 11 | 2014 | 2 | |
| 12 | 2012 | 12 | |
| 13 | 2012 | 28 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 225 | |
| 16 | 2010 | 12 | |
| 17 | 2009 | 69 | |
| 18 | 2009 | 27 | |
| 19 | 2006 | 8 | |
| 20 | 2004 | 36 |
About Chao Sima
Chao Sima is a scholar working on Statistics and Probability, Cancer Research, Biophysics, Computational Theory and Mathematics and Molecular Biology, having authored 53 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (8 papers), Machine Learning and Data Classification (7 papers), Statistical Methods and Inference (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Remote Sensing in Agriculture (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (414 citations), Oncology (441 citations), Molecular Biology (907 citations), Statistics and Probability (79 citations) and Artificial Intelligence (286 citations). Chao Sima has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Edward R. Dougherty, Jianping Hua, Michael Bittner, Daniel D. Von Hoff, Janine LoBello, H. Michael Shepard, Haiyong Han, Galen Hostetter, Clifford J. Whatcott and Aprill Watanabe. Their work appears in journals such as Bioinformatics, Pattern Recognition, Cancer Research, IEEE/ACM Transactions on Computational Biology and Bioinformatics and PLoS ONE.
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.