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
-
- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 6
- Single-cell and spatial transcriptomics 3
-
- Machine Learning and Data Classification 5
- Co-authors
- Edward R. Dougherty (18 shared papers)Jianping Hua (19 shared papers)Michael Bittner (17 shared papers)Daniel D. Von Hoff (3 shared papers)Janine LoBello (2 shared papers)Glen J. Weiss (7 shared papers)Haiyong Han (1 shared paper)H. Michael Shepard (1 shared paper)
- Journals
- Bioinformatics (5 papers)Pattern Recognition (4 papers)PLoS ONE (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Chao Sima
53 papers receiving 1.9k citations
Chao Sima's Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 355
- Oncology 380
- Molecular Biology 795
- Artificial Intelligence 253
- Statistics and Probability 56
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-authors
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
Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Desmoplasia in Primary Tumors and Metastatic Lesions of Pancreatic Cancer Hit paper breakdown → | 2015 | 481 |
| 2 | 2010 | 244 | |
| 3 | 2011 | 227 | |
| 4 | 2006 | 155 | |
| 5 | 2006 | 73 | |
| 6 | 2018 | 73 | |
| 7 | 2009 | 69 | |
| 8 | 2008 | 65 | |
| 9 | 2005 | 39 | |
| 10 | 2005 | 36 | |
| 11 | 2004 | 36 | |
| 12 | 2010 | 36 | |
| 13 | 2009 | 33 | |
| 14 | 2014 | 32 | |
| 15 | 2019 | 29 | |
| 16 | 2012 | 27 | |
| 17 | 2009 | 27 | |
| 18 | 2012 | 27 | |
| 19 | 2010 | 25 | |
| 20 | 2019 | 25 |
About Chao Sima
Chao Sima is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, Computational Theory and Mathematics and Statistics and Probability, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Computational Drug Discovery Methods (6 papers), Bioinformatics and Genomic Networks (6 papers), Machine Learning and Data Classification (5 papers), Statistical Methods and Inference (4 papers), Remote Sensing in Agriculture (4 papers), Single-cell and spatial transcriptomics (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Cancer Research (355 citations), Oncology (380 citations), Molecular Biology (795 citations), Artificial Intelligence (253 citations) and Statistics and Probability (56 citations). Chao Sima has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Edward R. Dougherty, Jianping Hua, Michael Bittner, Daniel D. Von Hoff, Janine LoBello, Glen J. Weiss, Haiyong Han, H. Michael Shepard, Galen Hostetter and Caroline H. Diep. Their work appears in journals such as Bioinformatics, Pattern Recognition, PLoS ONE, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Cancer Research.
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.