Mei Kwan

19 total papers · 1.5k total citations
14 papers, 895 citations indexed

About

Mei Kwan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Mei Kwan has authored 14 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Genetics. Recurrent topics in Mei Kwan's work include Genetic Neurodegenerative Diseases (4 papers), Genetic Syndromes and Imprinting (4 papers) and Mitochondrial Function and Pathology (4 papers). Mei Kwan is often cited by papers focused on Genetic Neurodegenerative Diseases (4 papers), Genetic Syndromes and Imprinting (4 papers) and Mitochondrial Function and Pathology (4 papers). Mei Kwan collaborates with scholars based in Canada, United States and Japan. Mei Kwan's co-authors include Derrick E. Rancourt, John S. Mudgett, Brian P. Kennedy, Wanda Cromlish, Paul Payette, Peter Vadas, W. Pruzanski, John H. White, Afshin Ghavami and Larry C. Park and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Mei Kwan

14 papers receiving 887 citations

Author Peers

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

Author						Papers	Cites
Mei Kwan	611	355	141	115	95	14	895
Núria Llecha	560 0.9×	191 0.5×	117 0.8×	118 1.0×	50 0.5×	15	886
Raul Krauss	520 0.9×	347 1.0×	109 0.8×	152 1.3×	64 0.7×	14	1.0k
Yongshan Mou	639 1.0×	119 0.3×	104 0.7×	68 0.6×	56 0.6×	21	956
Anna Marie Camoratto	448 0.7×	154 0.4×	209 1.5×	135 1.2×	63 0.7×	13	915
Daniela Stauffer	538 0.9×	285 0.8×	126 0.9×	88 0.8×	54 0.6×	13	796
Mary Kay Meintzer	644 1.1×	247 0.7×	41 0.3×	74 0.6×	123 1.3×	9	998
Pierre Mazot	575 0.9×	122 0.3×	116 0.8×	93 0.8×	83 0.9×	14	820
Yan‐Ning Rui	600 1.0×	212 0.6×	155 1.1×	108 0.9×	64 0.7×	21	942
Masatoyo Nishizawa	426 0.7×	245 0.7×	86 0.6×	44 0.4×	47 0.5×	24	883
Michael Hedvat	465 0.8×	192 0.5×	71 0.5×	315 2.7×	75 0.8×	16	948

Countries citing papers authored by Mei Kwan

Since Specialization

Citations

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

Fields of papers citing papers by Mei Kwan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Kwan

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