Christopher Tan

835 citations
24 papers · 507 · h-index 12

Impact in

    • Lung Cancer Research Studies
    • Cancer-related Molecular Pathways
    • Neurogenetic and Muscular Disorders Research
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders

Papers in

    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Genetics and Neurodevelopmental Disorders 4
    • Genomic variations and chromosomal abnormalities 4
    • Genomics and Rare Diseases 3

Christopher Tan

23 papers receiving 494 citations

Peers

Christopher Tan
Comparison fields: 5 of 59
  • Oncology 155
  • Genetics 44
  • Epidemiology 130
  • Molecular Biology 221
  • Genetics 88
Replace Maura Diamond with:
Maura Diamond United States
Alexandre Francou France
Zachary Harrelson United States
Herbert Neuhaus Germany
Laura A. Paganessi United States
Pascal J. Lafontant United States
David Bourn United Kingdom
Shuyi Nie United States
Li Weng China
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Tan

Since Specialization
Citations

This map shows the geographic impact of Christopher 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 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 Tan more than expected).

Fields of papers citing papers by Christopher Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher 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 Tan. The network helps show where Christopher Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Tan Line = papers co-authored together Christopher Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014191
2 200752
3 202033
4 201326
5 201422
6 200522
7 200520
8 201319
9 201616
10 200616
11 202012
12 201512
13 202011
14 201110
15 20139
16 20078
17 20218
18 20137
19 20195
20 20243

About Christopher Tan

Christopher Tan is a scholar working on Molecular Biology, Genetics, Epidemiology, Genetics and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 507 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Genomics and Rare Diseases (3 papers), RNA modifications and cancer (3 papers), Congenital Heart Disease Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Hereditary Neurological Disorders (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Oncology (155 citations), Genetics (44 citations), Epidemiology (130 citations), Molecular Biology (221 citations) and Genetics (88 citations). Christopher Tan has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Aurora M. Nedelcu, Daniel S. Levi, John W. Moore, Chunli Shao, Jane E. Johnson, James P. Sullivan, Victoria Lee, Patrick Dospoy, Junya Fujimoto and Mark D. Borromeo. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Human Genetics, Frontiers in Genetics, Journal of the Peripheral Nervous System and Brain and Development.

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.

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