Carmel T. Chan

95 total papers · 1.6k total citations
35 papers, 1.2k citations indexed

About

Carmel T. Chan is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Carmel T. Chan has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Immunology and 9 papers in Biomedical Engineering. Recurrent topics in Carmel T. Chan's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Biosensors and Analytical Detection (5 papers) and bioluminescence and chemiluminescence research (4 papers). Carmel T. Chan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Biosensors and Analytical Detection (5 papers) and bioluminescence and chemiluminescence research (4 papers). Carmel T. Chan collaborates with scholars based in United States, United Kingdom and South Korea. Carmel T. Chan's co-authors include Sanjiv S. Gambhir, Anca Dragulescu‐Andrasi, Tarik F. Massoud, Abhijit De, Susan E. Kane, Marianne Z. Metz, Barry M. Trost, David J. Jebaratnam, Mark Lautens and Thomas J. J. Mueller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nano Letters.

In The Last Decade

Carmel T. Chan

34 papers receiving 1.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carmel T. Chan 523 351 185 176 161 35 1.2k
Milton Merchant 479 0.9× 172 0.5× 188 1.0× 100 0.6× 197 1.2× 27 1.2k
D. Michael Olive 488 0.9× 434 1.2× 90 0.5× 84 0.5× 157 1.0× 27 1.1k
Wei Lin 920 1.8× 273 0.8× 110 0.6× 232 1.3× 170 1.1× 69 1.5k
Valeria R. Caiolfa 704 1.3× 133 0.4× 199 1.1× 71 0.4× 224 1.4× 41 1.2k
Heechul Kim 440 0.8× 155 0.4× 219 1.2× 104 0.6× 53 0.3× 57 1.3k
Atom Sarkar 678 1.3× 304 0.9× 79 0.4× 106 0.6× 258 1.6× 35 1.4k
Brian D. Gray 520 1.0× 230 0.7× 136 0.7× 117 0.7× 134 0.8× 70 1.2k
Jolene A. Bradford 608 1.2× 147 0.4× 127 0.7× 113 0.6× 158 1.0× 41 1.1k
Fangxian Sun 640 1.2× 278 0.8× 73 0.4× 102 0.6× 369 2.3× 21 1.3k
Coby B. Carlson 921 1.8× 118 0.3× 106 0.6× 150 0.9× 138 0.9× 35 1.3k

Countries citing papers authored by Carmel T. Chan

Since Specialization
Citations

This map shows the geographic impact of Carmel T. 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 Carmel T. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmel T. Chan more than expected).

Fields of papers citing papers by Carmel T. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmel T. Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Carmel T. Chan. A scholar is included among the top collaborators of Carmel T. 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 Carmel T. Chan. Carmel T. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026