J.E. Lai-Cheong

29 total papers · 869 total citations
17 papers, 494 citations indexed

About

J.E. Lai-Cheong is a scholar working on Cell Biology, Molecular Biology and Immunology and Allergy. According to data from OpenAlex, J.E. Lai-Cheong has authored 17 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 8 papers in Molecular Biology and 4 papers in Immunology and Allergy. Recurrent topics in J.E. Lai-Cheong's work include Skin and Cellular Biology Research (10 papers), Cell Adhesion Molecules Research (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). J.E. Lai-Cheong is often cited by papers focused on Skin and Cellular Biology Research (10 papers), Cell Adhesion Molecules Research (4 papers) and Wnt/β-catenin signaling in development and cancer (4 papers). J.E. Lai-Cheong collaborates with scholars based in United Kingdom, India and Germany. J.E. Lai-Cheong's co-authors include John A. McGrath, Ken Arita, Maddy Parsons, Akio Tanaka, Ian R. Hart, Siegfried Ussar, Kristina L. Stone, Gomathy Sethuraman, L. Liu and Michael A. Simpson and has published in prestigious journals such as Journal of Investigative Dermatology, The International Journal of Biochemistry & Cell Biology and British Journal of Dermatology.

In The Last Decade

J.E. Lai-Cheong

17 papers receiving 484 citations

Author Peers

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

Author Last Decade Papers Cites
J.E. Lai-Cheong 245 215 135 79 69 17 494
V. Nazzaro 194 0.8× 222 1.0× 30 0.2× 148 1.9× 82 1.2× 23 463
Jean‐Marie Naeyaert 281 1.1× 134 0.6× 20 0.1× 14 0.2× 144 2.1× 13 494
H Tagami 248 1.0× 131 0.6× 51 0.4× 22 0.3× 223 3.2× 26 520
Adelina Spallanzani 260 1.1× 163 0.8× 57 0.4× 7 0.1× 112 1.6× 14 513
Anita Lundström 131 0.5× 128 0.6× 55 0.4× 34 0.4× 165 2.4× 10 419
Minoru Akiyama 96 0.4× 140 0.7× 21 0.2× 47 0.6× 195 2.8× 22 463
Scott D. Bennion 126 0.5× 50 0.2× 30 0.2× 46 0.6× 151 2.2× 22 484
Barbara Koehler 130 0.5× 233 1.1× 49 0.4× 38 0.5× 65 0.9× 13 508
A. S. Zelickson 151 0.6× 96 0.4× 21 0.2× 45 0.6× 114 1.7× 23 439
L. Nieuweboer‐Krobotová 372 1.5× 57 0.3× 19 0.1× 36 0.5× 288 4.2× 12 541

Countries citing papers authored by J.E. Lai-Cheong

Since Specialization
Citations

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

Fields of papers citing papers by J.E. Lai-Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.E. Lai-Cheong. 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 J.E. Lai-Cheong. The network helps show where J.E. Lai-Cheong may publish in the future.

Co-authorship network of co-authors of J.E. Lai-Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of J.E. Lai-Cheong. A scholar is included among the top collaborators of J.E. Lai-Cheong 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 J.E. Lai-Cheong. J.E. Lai-Cheong 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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