Christopher M. Tan
Impact in
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Antibiotic Resistance in Bacteria 8
- Co-authors
- Avi Ma’ayanEdward Y. ChenQiaonan DuanNeil R. ClarkYan KouZichen WangGabriela Vaz MeirellesRoss D. Feldman
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Journal of Biological Chemistry (3 papers)Bioinformatics (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)Open Forum Infectious Diseases (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Christopher M. Tan
39 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.8k
- Cancer Research 803
- Immunology 843
- Aging 67
- Cellular and Molecular Neuroscience 520
Countries citing papers authored by Christopher M. Tan
This map shows the geographic impact of Christopher M. Tan'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 Christopher M. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Tan more than expected).
Fields of papers citing papers by Christopher M. Tan
This network shows the impact of papers produced by Christopher M. Tan. 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 Christopher M. Tan. The network helps show where Christopher M. Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christopher M. Tan, 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 | 2023 | 14 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2018 | 10 | |
| 5 | 2016 | 9 | |
| 6 | 2016 | 2 | |
| 7 | 2016 | 3 | |
| 8 | 2015 | 14 | |
| 9 | 2014 | 12 | |
| 10 | Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool Hit paper breakdown → | 2013 | 4574 |
| 11 | 2013 | 46 | |
| 12 | 2012 | 12 | |
| 13 | 2010 | 39 | |
| 14 | 2008 | 31 | |
| 15 | 2007 | 1 | |
| 16 | 2003 | 46 | |
| 17 | 2000 | 32 | |
| 18 | 1999 | 9 | |
| 19 | 1999 | 111 | |
| 20 | 1997 | 196 |
About Christopher M. Tan
Christopher M. Tan is a scholar working on Molecular Medicine, Toxicology, Infectious Diseases, Biophysics and Molecular Biology, having authored 40 papers that have together received 6.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Cancer therapeutics and mechanisms (5 papers), Bioinformatics and Genomic Networks (5 papers), Receptor Mechanisms and Signaling (5 papers), Computational Drug Discovery Methods (4 papers), Gene Regulatory Network Analysis (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Cancer Research (803 citations), Immunology (843 citations), Aging (67 citations) and Cellular and Molecular Neuroscience (520 citations). Christopher M. Tan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Avi Ma’ayan, Edward Y. Chen, Qiaonan Duan, Neil R. Clark, Yan Kou, Zichen Wang, Gabriela Vaz Meirelles, Ross D. Feldman, Lee E. Limbird and Jeffrey Benovic. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Bioinformatics, American Journal of Respiratory Cell and Molecular Biology and Open Forum Infectious Diseases.
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.