Margaret Chern

21 total papers · 600 total citations
15 papers, 449 citations indexed

About

Margaret Chern is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Margaret Chern has authored 15 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Materials Chemistry, 9 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Margaret Chern's work include Quantum Dots Synthesis And Properties (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Chalcogenide Semiconductor Thin Films (3 papers). Margaret Chern is often cited by papers focused on Quantum Dots Synthesis And Properties (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Chalcogenide Semiconductor Thin Films (3 papers). Margaret Chern collaborates with scholars based in United States, France and Australia. Margaret Chern's co-authors include Allison M. Dennis, Joshua Kays, Shashi Bhuckory, Reyhaneh Toufanian, James E. Galagan, Mark W. Grinstaff, Sébastien Lecommandoux, Chloé Grazon, Thuy Thi Thanh Nguyen and Catherine M. Klapperich and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Nano Letters.

In The Last Decade

Margaret Chern

15 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Margaret Chern	242	217	140	138	29	15	449
Amit Vaish	118 0.5×	187 0.9×	125 0.9×	156 1.1×	43 1.5×	21	444
Didier Casanova	389 1.6×	123 0.6×	98 0.7×	85 0.6×	30 1.0×	10	510
Alexey V. Krasnoslobodtsev	162 0.7×	129 0.6×	175 1.3×	127 0.9×	69 2.4×	12	432
Songtao Hu	251 1.0×	107 0.5×	187 1.3×	195 1.4×	55 1.9×	24	471
Rabeka Alam	296 1.2×	169 0.8×	126 0.9×	168 1.2×	15 0.5×	14	470
Christoph H.-H. Traulsen	178 0.7×	146 0.7×	119 0.8×	155 1.1×	23 0.8×	16	464
Ghinwa H. Darwish	284 1.2×	162 0.7×	171 1.2×	64 0.5×	16 0.6×	18	451
Daniel P. Salem	292 1.2×	224 1.0×	288 2.1×	164 1.2×	43 1.5×	15	550
Rupsa Gupta	336 1.4×	162 0.7×	172 1.2×	99 0.7×	11 0.4×	9	462
Diego Méndez-González	369 1.5×	136 0.6×	203 1.4×	107 0.8×	24 0.8×	24	522

Countries citing papers authored by Margaret Chern

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Chern

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Chern

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Chern. A scholar is included among the top collaborators of Margaret Chern 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 Margaret Chern. Margaret Chern 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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