JaeJin Choi

420 total citations
9 papers, 219 citations indexed

About

JaeJin Choi is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, JaeJin Choi has authored 9 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in JaeJin Choi's work include Advanced biosensing and bioanalysis techniques (3 papers), Molecular Biology Techniques and Applications (2 papers) and Cancer Genomics and Diagnostics (2 papers). JaeJin Choi is often cited by papers focused on Advanced biosensing and bioanalysis techniques (3 papers), Molecular Biology Techniques and Applications (2 papers) and Cancer Genomics and Diagnostics (2 papers). JaeJin Choi collaborates with scholars based in South Korea and United States. JaeJin Choi's co-authors include Sung‐Hou Kim, Heekyung Park, Ji‐Youn Han, Jin Young Kim, Geon Kook Lee, Hee Kyung Park, Ji‐Hyun Kim, Yeo‐Jin Son, Hyunsun A. Kim and Jihyun Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Microbiology and BMC Cancer.

In The Last Decade

JaeJin Choi

9 papers receiving 213 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
JaeJin Choi South Korea	8	126	47	41	34	33	9	219
Mary O’Neill United Kingdom	8	140 1.1×	42 0.9×	31 0.8×	15 0.4×	19 0.6×	9	297
Dax Torti Canada	7	151 1.2×	28 0.6×	36 0.9×	8 0.2×	20 0.6×	16	269
Siji Nian China	11	104 0.8×	32 0.7×	29 0.7×	19 0.6×	34 1.0×	29	287
Sue A. Olson United States	6	213 1.7×	48 1.0×	33 0.8×	28 0.8×	7 0.2×	9	318
Tina Koestler Austria	10	138 1.1×	35 0.7×	49 1.2×	37 1.1×	15 0.5×	14	220
David C. Norris United States	4	181 1.4×	56 1.2×	21 0.5×	7 0.2×	8 0.2×	8	272
Min Hsu United States	8	321 2.5×	26 0.6×	30 0.7×	17 0.5×	9 0.3×	15	405
Heung Jin Jeon South Korea	10	201 1.6×	14 0.3×	30 0.7×	15 0.4×	19 0.6×	32	277
Qun Tang China	12	185 1.5×	18 0.4×	20 0.5×	9 0.3×	8 0.2×	26	272
María Ángeles Corral-Rodríguez Spain	10	139 1.1×	27 0.6×	21 0.5×	10 0.3×	5 0.2×	12	322

Countries citing papers authored by JaeJin Choi

Since Specialization

Citations

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

Fields of papers citing papers by JaeJin Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JaeJin Choi

This figure shows the co-authorship network connecting the top 25 collaborators of JaeJin Choi. A scholar is included among the top collaborators of JaeJin Choi 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 JaeJin Choi. JaeJin Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Choi, JaeJin & Sung‐Hou Kim. (2020). Whole-proteome tree of life suggests a deep burst of organism diversity. Proceedings of the National Academy of Sciences. 117(7). 3678–3686. 8 indexed citations

Choi, JaeJin & Sung‐Hou Kim. (2017). A genome Tree of Life for the Fungi kingdom. Proceedings of the National Academy of Sciences. 114(35). 9391–9396. 93 indexed citations

Han, Ji‐Youn, et al.. (2016). PNA clamping-assisted fluorescence melting curve analysis for detecting EGFR and KRAS mutations in the circulating tumor DNA of patients with advanced non-small cell lung cancer. BMC Cancer. 16(1). 627–627. 35 indexed citations

Choi, JaeJin, et al.. (2012). A PNA microarray platform for miRNA expression profiling using on-chip labeling technology. BioChip Journal. 6(1). 25–33. 12 indexed citations

Choi, JaeJin, et al.. (2010). PNA-mediated Real-Time PCR Clamping for Detection of EGFR Mutations. Bulletin of the Korean Chemical Society. 31(12). 3525–3529. 9 indexed citations

Choi, JaeJin, et al.. (2010). Highly sensitive PNA Array Platform Technology for Single Nucleotide Mismatch Discrimination. Journal of Microbiology and Biotechnology. 20(2). 287–293. 13 indexed citations

Jang, Hyun‐Jung, Jihyun Kim, JaeJin Choi, Yeo‐Jin Son, & Hee Kyung Park. (2010). Peptide Nucleic Acid Array for Detection of Point Mutations in Hepatitis B Virus Associated with Antiviral Resistance. Journal of Clinical Microbiology. 48(9). 3127–3131. 12 indexed citations

Lee, Jei-Wan, Kyong-Hwan Bang, JaeJin Choi, et al.. (2010). Development of peptide nucleic acid (PNA) microarray for identification of Panax species based on the nuclear ribosomal internal transcribed spacer (ITS) and 5.8S rDNA regions. Genes & Genomics. 32(5). 463–468. 7 indexed citations

Choi, JaeJin, et al.. (2009). Peptide Nucleic Acid-Based Array for Detecting and Genotyping Human Papillomaviruses. Journal of Clinical Microbiology. 47(6). 1785–1790. 30 indexed citations

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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