Chris Sander
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics 34
- MicroRNA in disease regulation 27
- Molecular Biology top 0.01%
- Protein Structure and Dynamics 77
- RNA and protein synthesis mechanisms 55
- Bioinformatics and Genomic Networks 54
- Genomics and Phylogenetic Studies 34
- Machine Learning in Bioinformatics 28
- Oncology top 0.05%
- Pulmonary and Respiratory Medicine top 0.05%
- Immunology top 0.1%
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- Enzyme Structure and Function 52
- Co-authors
- Liisa HolmBurkhard RostNikolaus SchultzDebora S. MarksEthan CeramiBülent Arman AksoyAnders J. SkanderupErik Larsson
- Journals
- Bioinformatics (18 papers)Proteins Structure Function and Bioinformatics (15 papers)Nucleic Acids Research (13 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Chris Sander
305 papers receiving 92.1k citations
Hit Papers
Peers
Comparison fields: 5 of 218
- Cancer Research 26.3k
- Molecular Biology 69.7k
- Oncology 13.4k
- Pulmonary and Respiratory Medicine 10.6k
- Immunology 6.5k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 10 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 20 | |
| 5 | 2020 | 13 | |
| 6 | 2019 | 25 | |
| 7 | 2018 | 172 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 42 | |
| 10 | 2014 | 25 | |
| 11 | 2014 | 156 | |
| 12 | 2013 | 267 | |
| 13 | Genome Sequencing Identifies a Basis for Everolimus Sensitivitybreakdown → | 2012 | 480 |
| 14 | 2012 | 175 | |
| 15 | 2011 | 92 | |
| 16 | 2011 | 88 | |
| 17 | 2011 | 98 | |
| 18 | 2010 | 39 | |
| 19 | 2009 | 455 | |
| 20 | 2007 | 189 |
About Chris Sander
Chris Sander is a scholar working on Cancer Research, Molecular Biology and Materials Chemistry, having authored 308 papers that have together received 93.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (77 papers), RNA and protein synthesis mechanisms (55 papers), Bioinformatics and Genomic Networks (54 papers), Enzyme Structure and Function (52 papers), Cancer Genomics and Diagnostics (34 papers), Genomics and Phylogenetic Studies (34 papers), Machine Learning in Bioinformatics (28 papers) and MicroRNA in disease regulation (27 papers). The work is most often cited by research in Cancer Research (26.3k citations), Molecular Biology (69.7k citations) and Oncology (13.4k 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 S. Onur Sumer. 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.