Anney Che
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Epigenetics and DNA Methylation
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Gene expression and cancer classification
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
- Genomics and Chromatin Dynamics 1
- Epigenetics and DNA Methylation 1
- Biomedical Text Mining and Ontologies 1
- Cancer-related gene regulation 1
- Genetics 2
- Genomics and Rare Diseases 1
- Co-authors
- Robert M. Stephens (4 shared papers)Uma Mudunuri (5 shared papers)Ming Yi (2 shared papers)Bingshu E. Chen (1 shared paper)Philip S. Rosenberg (1 shared paper)Theresa M. Geiman (1 shared paper)Kathrin Muegge (1 shared paper)Keji Zhao (1 shared paper)
- Journals
- Bioinformatics (3 papers)Journal of Neurochemistry (1 paper)Statistics in Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Anney Che
9 papers receiving 437 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 56
- Molecular Biology 262
- Genetics 64
- Aging 4
- Immunology 24
Countries citing papers authored by Anney Che
This map shows the geographic impact of Anney Che'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 Anney Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anney Che more than expected).
Fields of papers citing papers by Anney Che
This network shows the impact of papers produced by Anney Che. 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 Anney Che. The network helps show where Anney Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Anney Che, 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 | 270 | |
| 2 | 2011 | 78 | |
| 3 | 2005 | 32 | |
| 4 | 2013 | 19 | |
| 5 | 2009 | 15 | |
| 6 | 2015 | 14 | |
| 7 | 2024 | 12 | |
| 8 | 2001 | 2 | |
| 9 | 2020 | 1 |
About Anney Che
Anney Che is a scholar working on Molecular Biology, Genetics, Statistics and Probability, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 443 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (2 papers), Genomics and Chromatin Dynamics (1 paper), Genomics and Rare Diseases (1 paper), Epigenetics and DNA Methylation (1 paper), Biomedical Text Mining and Ontologies (1 paper), Cancer-related gene regulation (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Cancer Research (56 citations), Molecular Biology (262 citations), Genetics (64 citations), Aging (4 citations) and Immunology (24 citations). Anney Che has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Robert M. Stephens, Uma Mudunuri, Ming Yi, Bingshu E. Chen, Philip S. Rosenberg, Theresa M. Geiman, Kathrin Muegge, Keji Zhao, Eunice Lee and Alika K. Maunakea. Their work appears in journals such as Bioinformatics, Journal of Neurochemistry, Statistics in Medicine, Proceedings of the National Academy of Sciences 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.