Gab-Joo Chee

16 total papers · 620 total citations
13 papers, 463 citations indexed

About

Gab-Joo Chee is a scholar working on Bioengineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Gab-Joo Chee has authored 13 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Bioengineering, 8 papers in Electrical and Electronic Engineering and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Gab-Joo Chee's work include Analytical Chemistry and Sensors (8 papers), Electrochemical sensors and biosensors (8 papers) and Water Quality Monitoring and Analysis (6 papers). Gab-Joo Chee is often cited by papers focused on Analytical Chemistry and Sensors (8 papers), Electrochemical sensors and biosensors (8 papers) and Water Quality Monitoring and Analysis (6 papers). Gab-Joo Chee collaborates with scholars based in Japan and South Korea. Gab-Joo Chee's co-authors include Yoko Nomura, Isao Karube, Kazunori Ikebukuro, Hideto Takami, Hiroko Suzuki, Shinro Nishi, Ikuo Uchiyama, Shigeru Shimamura and Yoshihiro Takaki and has published in prestigious journals such as Nucleic Acids Research, Analytica Chimica Acta and Gene.

In The Last Decade

Gab-Joo Chee

13 papers receiving 451 citations

Author Peers

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

Author						Papers	Cites
Gab-Joo Chee	236	171	159	107	77	13	463
Christiane Zaborosch	190 0.8×	116 0.7×	73 0.5×	95 0.9×	6 0.1×	17	436
Benjamin Buysschaert	170 0.7×	29 0.2×	14 0.1×	119 1.1×	90 1.2×	14	514
Mohammed Sedki	180 0.8×	123 0.7×	58 0.4×	223 2.1×	34 0.4×	19	509
Justyna Jońca	137 0.6×	171 1.0×	136 0.9×	169 1.6×	21 0.3×	18	484
Navreet K. Mahal	57 0.2×	135 0.8×	113 0.7×	92 0.9×	35 0.5×	13	454
Hirokazu Okuma	161 0.7×	199 1.2×	101 0.6×	100 0.9×	7 0.1×	17	486
Ying Tao	248 1.1×	80 0.5×	41 0.3×	102 1.0×	40 0.5×	20	507
Dane W. Zabriskie	389 1.6×	25 0.1×	30 0.2×	128 1.2×	32 0.4×	16	535
W. Chen	226 1.0×	134 0.8×	68 0.4×	90 0.8×	21 0.3×	8	468
Renzo Dal Monte	134 0.6×	40 0.2×	28 0.2×	118 1.1×	22 0.3×	14	407

Countries citing papers authored by Gab-Joo Chee

Since Specialization

Citations

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

Fields of papers citing papers by Gab-Joo Chee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gab-Joo Chee. 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 Gab-Joo Chee. The network helps show where Gab-Joo Chee may publish in the future.

Co-authorship network of co-authors of Gab-Joo Chee

This figure shows the co-authorship network connecting the top 25 collaborators of Gab-Joo Chee. A scholar is included among the top collaborators of Gab-Joo Chee 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 Gab-Joo Chee. Gab-Joo Chee 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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