Hardy Chan

9.5k citations
78 papers · 7.9k indexed · 1 hit paper · h-index 32

Hardy Chan

77 papers receiving 7.3k citations

Hit Papers

Lipofection: a highly efficient, lipid-mediated DNA-trans...4.0k198720262000201310002.0k3.0k4.0k

Peers

Hardy Chan
Comparison fields: 5 of 144
  • Virology 622
  • Molecular Biology 5.5k
  • Genetics 2.0k
  • Cellular and Molecular Neuroscience 719
  • Immunology 808
Replace Colin Dingwall with:
Colin Dingwall United Kingdom
Heinrich Sticht Germany
Rainer Frank Germany
Howard Jaffe United States
Michael G. Roth United States
Philip R. Evans United Kingdom
Steven Lin United States
Marc Pypaert United States
Felix Wieland Germany
Marilyn D. Resh United States
Hardy Chan relative to Colin Dingwall United Kingdom Colin Dingwall's profile →
Citations per field
00.5×1.5×
Colin Dingwall · 1×
Citations per year

Countries citing papers authored by Hardy Chan

Since Specialization
Citations

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

Fields of papers citing papers by Hardy Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hardy Chan, 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 Hardy Chan Line = papers co-authored together Hardy Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20223
4 20202
5 201932
6 20196
7 20185
8 201816
9 201730
10 20169
11 201222
12 200121
13 19974
14 1994299
15 199443
16 1993161
17 199338
18 199016
19 199034
20 198971

About Hardy Chan

Hardy Chan is a scholar working on Virology, Applied Mathematics, Numerical Analysis, Molecular Biology and Computational Theory and Mathematics, having authored 78 papers that have together received 7.9k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Alzheimer's disease research and treatments (9 papers), Advanced biosensing and bioanalysis techniques (9 papers), Nonlinear Partial Differential Equations (9 papers), Nanowire Synthesis and Applications (8 papers), Bacteriophages and microbial interactions (8 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Virology (622 citations), Molecular Biology (5.5k citations), Genetics (2.0k citations), Cellular and Molecular Neuroscience (719 citations) and Immunology (808 citations). Hardy Chan has collaborated with scholars based in United States, Taiwan and Poland. Frequent co-authors include R. M. Roman, Philip L. Felgner, Mark Danielsen, Mai Marie Holm, G M Ringold, Thomas R. Gadek, Jeffrey P. Northrop, Felix H. Salazar, Chinh Bach and Malcolm A. Martin. Their work appears in journals such as Journal of Virology, Science, Journal of Neurochemistry, Proceedings of the National Academy of Sciences and Scientific Reports.

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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