Gwang-Jin Kim

1.1k total citations
20 papers, 488 citations indexed

About

Gwang-Jin Kim is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Artificial Intelligence. According to data from OpenAlex, Gwang-Jin Kim has authored 20 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Artificial Intelligence. Recurrent topics in Gwang-Jin Kim's work include Air Quality and Health Impacts (3 papers), Energy and Environment Impacts (3 papers) and Skin and Cellular Biology Research (2 papers). Gwang-Jin Kim is often cited by papers focused on Air Quality and Health Impacts (3 papers), Energy and Environment Impacts (3 papers) and Skin and Cellular Biology Research (2 papers). Gwang-Jin Kim collaborates with scholars based in Germany, United States and Canada. Gwang-Jin Kim's co-authors include Gerd Scherer, Francisco J. Barrionuevo, Franz P.W. Radner, Slaheddine Marrakchi, Leïla Abid, W. Schempp, Florence Ribiérre, Judith Fischer, Mark Lathrop and Roland Heilig and has published in prestigious journals such as Nature Cell Biology, Developmental Cell and PLoS Genetics.

In The Last Decade

Gwang-Jin Kim

17 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwang-Jin Kim Germany 9 298 135 84 76 60 20 488
Paola Rebuzzini Italy 17 394 1.3× 93 0.7× 35 0.4× 57 0.8× 51 0.8× 32 651
Huanyu Qiao United States 15 671 2.3× 187 1.4× 145 1.7× 39 0.5× 62 1.0× 36 966
Emeline Assémat France 5 312 1.0× 46 0.3× 220 2.6× 22 0.3× 27 0.5× 5 531
Sébastien Messiaen France 15 400 1.3× 166 1.2× 26 0.3× 81 1.1× 149 2.5× 22 731
Jesús García-López Spain 12 372 1.2× 66 0.5× 13 0.2× 206 2.7× 61 1.0× 14 530
Patrick J. Vojta United States 11 479 1.6× 86 0.6× 26 0.3× 94 1.2× 121 2.0× 14 783
Alexandre Teixeira Vessoni Brazil 15 666 2.2× 87 0.6× 83 1.0× 183 2.4× 6 0.1× 19 972
Sebastián Giulianelli Argentina 16 334 1.1× 296 2.2× 20 0.2× 133 1.8× 84 1.4× 33 768
Masao Maeda Japan 17 459 1.5× 38 0.3× 141 1.7× 145 1.9× 12 0.2× 39 709
Heidi Auman United States 10 470 1.6× 65 0.5× 92 1.1× 65 0.9× 7 0.1× 14 655

Countries citing papers authored by Gwang-Jin Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gwang-Jin Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwang-Jin Kim

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

All Works

20 of 20 papers shown
1.
Kim, Gwang-Jin, et al.. (2025). Dynamics of quantum correlation in three-qubit Heisenberg XXZ model with impurity site under nonuniform magnetic field. Physica A Statistical Mechanics and its Applications. 674. 130731–130731.
2.
Kim, Gwang-Jin, et al.. (2024). Dynamics of Quantum Correlation in Two-Qubit Heisenberg XYZ Hamiltonian With Nonuniform Magnetic Field. International Journal of Theoretical Physics. 63(12).
3.
Kim, Gwang-Jin, et al.. (2023). Can quantum genetic algorithm really improve quantum backpropagation neural network?. Quantum Information Processing. 22(3). 4 indexed citations
4.
Probst, Simone, et al.. (2023). Eomes restricts Brachyury functions at the onset of mouse gastrulation. Developmental Cell. 58(18). 1627–1642.e7. 17 indexed citations
5.
Kim, Gwang-Jin, et al.. (2023). Second law performance prediction of heat pump integrated stratified thermal energy storage system using long short-term memory neural networks. Journal of Energy Storage. 61. 106699–106699. 1 indexed citations
6.
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8.
Schmidt‐Heck, Wolfgang, Gwang-Jin Kim, Stefan Günther, et al.. (2020). Particulate Matter (PM2.5) from Biomass Combustion Induces an Anti-Oxidative Response and Cancer Drug Resistance in Human Bronchial Epithelial BEAS-2B Cells. International Journal of Environmental Research and Public Health. 17(21). 8193–8193. 16 indexed citations
9.
Kim, Gwang-Jin, et al.. (2020). The SWOT Analysis of Corona 19 Pandemic Phenomenon Effect on the Coffee Industry Trend. 9(3). 449–467. 1 indexed citations
10.
Kim, Gwang-Jin, Alexis Hofherr, Simone Probst, et al.. (2019). Eomes and Brachyury control pluripotency exit and germ-layer segregation by changing the chromatin state. Nature Cell Biology. 21(12). 1518–1531. 70 indexed citations
11.
Kim, Gwang-Jin, Wolfgang Schmidt‐Heck, Thomas Häupl, et al.. (2018). Gene expression profiling of human bronchial epithelial cells exposed to fine particulate matter (PM 2.5 ) from biomass combustion. Toxicology and Applied Pharmacology. 347. 10–22. 6 indexed citations
12.
Kim, Gwang-Jin, et al.. (2017). In vitro observations and in silico predictions of xenoestrogen mixture effects in T47D-based receptor transactivation and proliferation assays. Toxicology in Vitro. 45(Pt 1). 146–157. 8 indexed citations
13.
Kim, Gwang-Jin, et al.. (2017). Disease relevant modifications of the methylome and transcriptome by particulate matter (PM2.5) from biomass combustion. Epigenetics. 12(9). 779–792. 48 indexed citations
14.
Barrionuevo, Francisco J., Alicia Hurtado, Gwang-Jin Kim, et al.. (2016). Sox9 and Sox8 protect the adult testis from male-to-female genetic reprogramming and complete degeneration. eLife. 5. 79 indexed citations
15.
Radner, Franz P.W., Slaheddine Marrakchi, Gwang-Jin Kim, et al.. (2013). Correction: Mutations in CERS3 Cause Autosomal Recessive Congenital Ichthyosis in Humans. PLoS Genetics. 9(6). 37 indexed citations
16.
Radner, Franz P.W., Slaheddine Marrakchi, Gwang-Jin Kim, et al.. (2013). Mutations in CERS3 Cause Autosomal Recessive Congenital Ichthyosis in Humans. PLoS Genetics. 9(6). e1003536–e1003536. 115 indexed citations
17.
Kim, Yong‐Dae, Sang‐Yong Eom, Byung‐Sun Choi, et al.. (2012). The level of urinary aflatoxin M1 in Korean adults. 13(3). 255–258. 9 indexed citations
18.
Lage, Sergio, et al.. (2011). A large TAT deletion in a tyrosinaemia type II patient. Molecular Genetics and Metabolism. 104(3). 407–409. 3 indexed citations
19.
Kim, Gwang-Jin, Ina Georg, Harry Scherthan, et al.. (2009). Dicer is required for Sertoli cell function and survival. The International Journal of Developmental Biology. 54(5). 867–875. 69 indexed citations
20.
Park, Youngjin, et al.. (2003). A Parametric Study of the Discontinuity In Rock Mass And Its Influence On Tunnel Behavior. 2 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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