Nahui Kim

853 total citations
11 papers, 679 citations indexed

About

Nahui Kim is a scholar working on Plant Science, Genetics and Biomedical Engineering. According to data from OpenAlex, Nahui Kim has authored 11 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Plant Science, 4 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in Nahui Kim's work include Advances in Cucurbitaceae Research (4 papers), Plant Virus Research Studies (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Nahui Kim is often cited by papers focused on Advances in Cucurbitaceae Research (4 papers), Plant Virus Research Studies (3 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Nahui Kim collaborates with scholars based in South Korea, United States and Australia. Nahui Kim's co-authors include Marc Madou, Jim Zoval, Ji-Tae Kim, Guangyao Jia, Horacio Kido, Dong-Kyu Park, Tae-Hyeong Kim, Hanshin Kim, Yoon‐Kyoung Cho and Kameel Abi‐Samra and has published in prestigious journals such as Genetics, Sensors and Actuators B Chemical and Lab on a Chip.

In The Last Decade

Nahui Kim

10 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nahui Kim South Korea	7	561	187	99	50	32	11	679
Shih-Hui Chao United States	14	266 0.5×	109 0.6×	138 1.4×	10 0.2×	12 0.4×	30	503
Guillaume Aubry United States	9	281 0.5×	105 0.6×	53 0.5×	57 1.1×	28 0.9×	17	417
Jessica Melin Sweden	10	902 1.6×	422 2.3×	129 1.3×	3 0.1×	5 0.2×	15	1.1k
Lorenzo Ferrara Italy	8	312 0.6×	102 0.5×	30 0.3×	9 0.2×	7 0.2×	26	396
Alexandros Pantazis Greece	12	218 0.4×	70 0.4×	84 0.8×	21 0.4×	9 0.3×	28	327
Dario Ossola Switzerland	10	375 0.7×	73 0.4×	227 2.3×	2 0.0×	7 0.2×	12	737
Rebecca Soffe Australia	13	354 0.6×	172 0.9×	112 1.1×		13 0.4×	18	527
Dong Dong China	7	72 0.1×	74 0.4×	163 1.6×	60 1.2×	17 0.5×	19	397
Cédric Hurth United States	12	305 0.5×	190 1.0×	92 0.9×	3 0.1×	2 0.1×	26	582
T. Schnelle Germany	15	939 1.7×	514 2.7×	75 0.8×	1 0.0×	18 0.6×	24	1.1k

Countries citing papers authored by Nahui Kim

Since Specialization

Citations

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

Fields of papers citing papers by Nahui Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahui Kim

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

All Works

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11 of 11 papers shown

1.

Sim, Sung‐Chur, et al.. (2018). Whole-genome resequencing reveals genome-wide single nucleotide polymorphisms between orange-fleshed and green-fleshed melons. Horticulture Environment and Biotechnology. 59(2). 275–283. 4 indexed citations

2.

Kim, Nahui, et al.. (2015). The CmACS-7 gene provides sequence variation for development of DNA markers associated with monoecious sex expression in melon (Cucumis melo L.). Horticulture Environment and Biotechnology. 56(4). 535–545. 8 indexed citations

3.

Jung, Jaemin, et al.. (2015). Evaluation of horticultural traits and genetic relationship in melon germplasm. Journal of Plant Biotechnology. 42(4). 401–408.

4.

Kim, Nahui, Jun Young Kim, Byung Sup Kim, et al.. (2015). Development of a high-resolution melting marker for selecting Fusarium crown and root rot resistance in tomato. Genome. 59(3). 173–183. 8 indexed citations

5.

Kim, Nahui, et al.. (2015). Genomics and Molecular Markers for Major Cucurbitaceae Crops. Journal of Life Science. 25(9). 1059–1071. 2 indexed citations

6.

Kim, Nahui, et al.. (2015). Single Nucleotide Polymorphisms linked to the SlMYB12 Gene that Controls Fruit Peel Color in Domesticated Tomatoes (Solanum lycopersicum L.). Horticultural Science and Technology. 33(4). 566–574. 3 indexed citations

7.

Abi‐Samra, Kameel, Tae-Hyeong Kim, Dong-Kyu Park, et al.. (2013). Electrochemical velocimetry on centrifugal microfluidic platforms. Lab on a Chip. 13(16). 3253–3253. 30 indexed citations

8.

Kim, Tae-Hyeong, Kameel Abi‐Samra, Vijaya Sunkara, et al.. (2013). Flow-enhanced electrochemical immunosensors on centrifugal microfluidic platforms. Lab on a Chip. 13(18). 3747–3747. 70 indexed citations

9.

Kim, Nahui, Jim Zoval, Eyleen J. O’Rourke, et al.. (2007). Gravity Force Transduced by the MEC-4/MEC-10 DEG/ENaC Channel Modulates DAF-16/FoxO Activity in Caenorhabditis elegans. Genetics. 177(2). 835–845. 28 indexed citations

10.

Madou, Marc, Jim Zoval, Guangyao Jia, et al.. (2006). LAB ON A CD. Annual Review of Biomedical Engineering. 8(1). 601–628. 461 indexed citations

11.

Kim, Nahui, et al.. (2006). Automated microfluidic compact disc (CD) cultivation system of Caenorhabditis elegans. Sensors and Actuators B Chemical. 122(2). 511–518. 65 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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