Curtis M. Chan

2.0k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

Curtis M. Chan is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Curtis M. Chan has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Curtis M. Chan's work include Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers) and Virus-based gene therapy research (3 papers). Curtis M. Chan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (4 papers) and Virus-based gene therapy research (3 papers). Curtis M. Chan collaborates with scholars based in United States. Curtis M. Chan's co-authors include Kevin D. Foust, Brian K. Kaspar, Emily Nurre, Chrystal L. Montgomery, Jerry R. Mendell, Arthur H.M. Burghes, Louis G. Chicoine, Sandra Duqué, Lyndsey Braun and Paul Porensky and has published in prestigious journals such as Nature Biotechnology, International Journal of Cancer and Molecular Therapy.

In The Last Decade

Curtis M. Chan

10 papers receiving 1.4k citations

Hit Papers

Intravascular AAV9 preferentially targets neonatal neuron... 2008 2026 2014 2020 2008 250 500 750 1000

Peers

Curtis M. Chan
Comparison fields: 5 of 83
  • Molecular Biology 990
  • Genetics 717
  • Genetics 353
  • Cellular and Molecular Neuroscience 219
  • Physiology 176
Replace Tamara Goode with:
Tamara Goode United States
Thibaut Marais France
S Malcolm United Kingdom
Emily Nurre United States
Sandra Duqué United States
Steven H. Laval United Kingdom
Vinod Malik United States
Louise J. Campbell United Kingdom
Martin A. Eglitis United States
Capucine Trollet France
Tamara Goode United States View profile →
Citations per field, relative to Curtis M. Chan
Curtis M. Chan · 1×
Citations per year, relative to Curtis M. Chan
Curtis M. Chan · 1×

Countries citing papers authored by Curtis M. Chan

Since Specialization
Citations

This map shows the geographic impact of Curtis M. Chan'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 Curtis M. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Curtis M. Chan more than expected).

Fields of papers citing papers by Curtis M. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis M. Chan. 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 Curtis M. Chan. The network helps show where Curtis M. Chan may publish in the future.

Co-authorship network of co-authors of Curtis M. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis M. Chan. A scholar is included among the top collaborators of Curtis M. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Curtis M. Chan. Curtis M. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 256
2 40
3 54
4
Intravascular AAV9 preferentially targets neonatal neurons and adult astrocytes breakdown →
1060
5 13
6 2
7 6
8 40
9 3
10 1

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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