Kee Ming Chia

48 total papers · 1.4k total citations
19 papers, 774 citations indexed

About

Kee Ming Chia is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kee Ming Chia has authored 19 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Oncology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kee Ming Chia's work include HER2/EGFR in Cancer Research (5 papers), Estrogen and related hormone effects (4 papers) and Cancer-related Molecular Pathways (4 papers). Kee Ming Chia is often cited by papers focused on HER2/EGFR in Cancer Research (5 papers), Estrogen and related hormone effects (4 papers) and Cancer-related Molecular Pathways (4 papers). Kee Ming Chia collaborates with scholars based in Australia, United States and United Kingdom. Kee Ming Chia's co-authors include Elgene Lim, Sue Haupt, Ygal Haupt, Andrew Burgess, David M. Thomas, Ali Naderi, Ji Liu, Glenn Francis, Megan A. O’Brien and Myles Brown and has published in prestigious journals such as Nature Communications, Cancer Research and Journal of Investigative Dermatology.

In The Last Decade

Kee Ming Chia

18 papers receiving 768 citations

Author Peers

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

Author						Papers	Cites
Kee Ming Chia	444	387	176	156	147	19	774
Juliet Williams	483 1.1×	260 0.7×	126 0.7×	109 0.7×	84 0.6×	14	704
Vernon T. Phan	581 1.3×	252 0.7×	163 0.9×	115 0.7×	116 0.8×	16	872
Igor Bado	327 0.7×	379 1.0×	182 1.0×	115 0.7×	82 0.6×	16	676
W.J. Gullick	450 1.0×	579 1.5×	154 0.9×	105 0.7×	82 0.6×	17	883
Kevin M. Levine	456 1.0×	260 0.7×	273 1.6×	119 0.8×	144 1.0×	22	707
Hisako Ochi	356 0.8×	217 0.6×	218 1.2×	152 1.0×	146 1.0×	25	679
Heiko Maacke	656 1.5×	494 1.3×	128 0.7×	153 1.0×	59 0.4×	21	902
Honghe Wang	549 1.2×	225 0.6×	162 0.9×	128 0.8×	63 0.4×	25	772
Shaojie Jiang	553 1.2×	238 0.6×	196 1.1×	102 0.7×	54 0.4×	16	829
Aurélie Courtin	397 0.9×	198 0.5×	161 0.9×	83 0.5×	188 1.3×	22	715

Countries citing papers authored by Kee Ming Chia

Since Specialization

Citations

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

Fields of papers citing papers by Kee Ming Chia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee Ming Chia. 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 Kee Ming Chia. The network helps show where Kee Ming Chia may publish in the future.

Co-authorship network of co-authors of Kee Ming Chia

This figure shows the co-authorship network connecting the top 25 collaborators of Kee Ming Chia. A scholar is included among the top collaborators of Kee Ming Chia 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 Kee Ming Chia. Kee Ming Chia 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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