Chris Sander
Impact in
- Cancer Research top 0.01%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 0.01%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
Papers in
-
- Protein Structure and Dynamics 81
- RNA and protein synthesis mechanisms 54
- Bioinformatics and Genomic Networks 53
- Genomics and Phylogenetic Studies 30
- Machine Learning in Bioinformatics 25
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- Cancer Genomics and Diagnostics 29
- MicroRNA in disease regulation 26
- Co-authors
- Liisa Holm (21 shared papers)Burkhard Rost (18 shared papers)Nikolaus Schultz (43 shared papers)Debora S. Marks (50 shared papers)Ethan Cerami (8 shared papers)Bülent Arman Aksoy (18 shared papers)Anders J. Skanderup (14 shared papers)Erik Larsson (9 shared papers)
- Journals
- Bioinformatics (19 papers)Proteins Structure Function and Bioinformatics (15 papers)Nucleic Acids Research (13 papers)PLoS ONE (13 papers)Proceedings of the National Academy of Sciences (12 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Chris Sander
315 papers receiving 96.0k citations
Chris Sander's Hit Papers
Peers
Comparison fields: 5 of 218
- Cancer Research 23.1k
- Molecular Biology 65.3k
- Oncology 11.4k
- Pulmonary and Respiratory Medicine 8.4k
- Immunology 5.7k
Countries citing papers authored by Chris Sander
This map shows the geographic impact of Chris Sander'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 Chris Sander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Sander more than expected).
Fields of papers citing papers by Chris Sander
This network shows the impact of papers produced by Chris Sander. 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 Chris Sander. The network helps show where Chris Sander may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Sander, 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 323 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data Hit paper breakdown → | 2012 | 12319 |
| 2 | Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal Hit paper breakdown → | 2013 | 11068 |
| 3 | The Cancer Genome Atlas Pan-Cancer analysis project Hit paper breakdown → | 2013 | 5768 |
| 4 | Protein Structure Comparison by Alignment of Distance Matrices Hit paper breakdown → | 1993 | 3544 |
| 5 | Human MicroRNA Targets Hit paper breakdown → | 2004 | 3205 |
| 6 | MicroRNA targets in Drosophila Hit paper breakdown → | 2003 | 2919 |
| 7 | Prediction of Protein Secondary Structure at Better than 70% Accuracy Hit paper breakdown → | 1993 | 2587 |
| 8 | The microRNA.org resource: targets and expression Hit paper breakdown → | 2007 | 2184 |
| 9 | Predicting the functional impact of protein mutations: application to cancer genomics Hit paper breakdown → | 2011 | 1427 |
| 10 | Precision microbiome reconstitution restores bile acid mediated resistance to Clostridium difficile Hit paper breakdown → | 2014 | 1411 |
| 11 | Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites Hit paper breakdown → | 2010 | 1339 |
| 12 | Identification of Virus-Encoded MicroRNAs Hit paper breakdown → | 2004 | 1317 |
| 13 | Combining evolutionary information and neural networks to predict protein secondary structure Hit paper breakdown → | 1994 | 1302 |
| 14 | Mapping the Protein Universe Hit paper breakdown → | 1996 | 1290 |
| 15 | Dali: a network tool for protein structure comparison Hit paper breakdown → | 1995 | 1243 |
| 16 | Evaluating cell lines as tumour models by comparison of genomic profiles Hit paper breakdown → | 2013 | 1093 |
| 17 | Direct-coupling analysis of residue coevolution captures native contacts across many protein families Hit paper breakdown → | 2011 | 1006 |
| 18 | Emerging landscape of oncogenic signatures across human cancers Hit paper breakdown → | 2013 | 948 |
| 19 | Identification of microRNAs of the herpesvirus family Hit paper breakdown → | 2005 | 942 |
| 20 | Genomic and transcriptomic hallmarks of poorly differentiated and anaplastic thyroid cancers Hit paper breakdown → | 2016 | 919 |
About Chris Sander
Chris Sander is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Genetics and Pulmonary and Respiratory Medicine, having authored 323 papers that have together received 97.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (81 papers), Enzyme Structure and Function (54 papers), RNA and protein synthesis mechanisms (54 papers), Bioinformatics and Genomic Networks (53 papers), Genomics and Phylogenetic Studies (30 papers), Cancer Genomics and Diagnostics (29 papers), MicroRNA in disease regulation (26 papers) and Machine Learning in Bioinformatics (25 papers). The work is most often cited by research in Cancer Research (23.1k citations), Molecular Biology (65.3k citations), Oncology (11.4k citations), Pulmonary and Respiratory Medicine (8.4k citations) and Immunology (5.7k citations). Chris Sander has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Liisa Holm, Burkhard Rost, Nikolaus Schultz, Debora S. Marks, Ethan Cerami, Bülent Arman Aksoy, Anders J. Skanderup, Erik Larsson, Jianjiong Gao and Benjamin Groß. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Nucleic Acids Research, PLoS ONE and Proceedings of the National Academy of Sciences.
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.