Taehyeung Kim

588 total citations
30 papers, 428 citations indexed

About

Taehyeung Kim is a scholar working on Environmental Engineering, Immunology and Rheumatology. According to data from OpenAlex, Taehyeung Kim has authored 30 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Environmental Engineering, 9 papers in Immunology and 5 papers in Rheumatology. Recurrent topics in Taehyeung Kim's work include Wind and Air Flow Studies (8 papers), interferon and immune responses (5 papers) and Systemic Lupus Erythematosus Research (5 papers). Taehyeung Kim is often cited by papers focused on Wind and Air Flow Studies (8 papers), interferon and immune responses (5 papers) and Systemic Lupus Erythematosus Research (5 papers). Taehyeung Kim collaborates with scholars based in South Korea, United States and Thailand. Taehyeung Kim's co-authors include Michael R. Flynn, Changwon Kang, Sang‐Cheol Bae, Jaehyuk Choi, Xiaohan Zhang, Sharan Bobbala, Yugang Liu, Sijia Yi, Evan A. Scott and Kritana Prueksakorn and has published in prestigious journals such as Nature Communications, PLoS ONE and Environmental Pollution.

In The Last Decade

Taehyeung Kim

29 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taehyeung Kim South Korea 12 115 94 77 70 47 30 428
Satoru Hayashi Japan 13 49 0.4× 98 1.0× 35 0.5× 78 1.1× 88 1.9× 102 741
Teng Li China 14 78 0.7× 128 1.4× 20 0.3× 42 0.6× 82 1.7× 39 482
Keqiang Liu China 16 77 0.7× 171 1.8× 12 0.2× 30 0.4× 106 2.3× 53 663
Norimichi Watanabe Japan 13 31 0.3× 142 1.5× 19 0.2× 46 0.7× 20 0.4× 31 509
Min Xiong China 11 52 0.5× 220 2.3× 18 0.2× 40 0.6× 19 0.4× 25 471
Zhenchao Yuan China 14 19 0.2× 175 1.9× 31 0.4× 35 0.5× 56 1.2× 26 482
Sachchida Nand Pandey India 20 149 1.3× 335 3.6× 173 2.2× 23 0.3× 92 2.0× 50 1.1k

Countries citing papers authored by Taehyeung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Taehyeung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taehyeung Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Taehyeung Kim. A scholar is included among the top collaborators of Taehyeung 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 Taehyeung Kim. Taehyeung 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.
Park, Soon-Young, et al.. (2025). Understanding the mechanisms of coastal PM2.5 formation driven by land-sea breeze recirculation and ship emissions. Environmental Pollution. 390. 127483–127483.
2.
Kim, Taehyeung, Marta Martínez‐Bonet, Qiang Wang, et al.. (2024). Non-coding autoimmune risk variant defines role for ICOS in T peripheral helper cell development. Nature Communications. 15(1). 2150–2150. 8 indexed citations
3.
Laza‐Briviesca, Raquel, Taehyeung Kim, Louis‐Marie Charbonnier, et al.. (2024). The ‘Treg paradox’ in inflammatory arthritis. Nature Reviews Rheumatology. 21(1). 9–21. 5 indexed citations
4.
Wang, Qiang, Taehyeung Kim, Marta Martínez‐Bonet, et al.. (2024). High-throughput identification of functional regulatory SNPs in systemic lupus erythematosus. Nature Communications. 15(1). 6804–6804. 2 indexed citations
5.
Yuan, Qian, Gabriel Arellano, Igal Ifergan, et al.. (2021). ZEB1 promotes pathogenic Th1 and Th17 cell differentiation in multiple sclerosis. Cell Reports. 36(8). 109602–109602. 28 indexed citations
6.
Song, Bong-Geun, et al.. (2020). Analysis of PM2.5 Distribution Contribution using GIS Spatial Interpolation - Focused on Changwon-si Urban Area -. Journal of the Korean Association of Geographic Information Studies. 23(2). 1–20. 3 indexed citations
7.
Kim, Taehyeung, Sang‐Cheol Bae, & Changwon Kang. (2020). Synergistic activation of NF-κB by TNFAIP3 (A20) reduction and UBE2L3 (UBCH7) augment that synergistically elevate lupus risk. Arthritis Research & Therapy. 22(1). 93–93. 19 indexed citations
8.
Allen, Sean D., Yugang Liu, Taehyeung Kim, et al.. (2018). Celastrol-loaded PEG-b-PPS nanocarriers as an anti-inflammatory treatment for atherosclerosis. Biomaterials Science. 7(2). 657–668. 78 indexed citations
9.
Kim, Taehyeung, Ah Yeon Park, Younghwa Baek, & Seongwon Cha. (2017). Genome-Wide Association Study Reveals Four Loci for Lipid Ratios in the Korean Population and the Constitutional Subgroup. PLoS ONE. 12(1). e0168137–e0168137. 12 indexed citations
10.
Kim, Taehyeung, et al.. (2016). Indirect Prediction of Welding Fume Diffusion inside a Room Using Computational Fluid Dynamics. Atmosphere. 7(6). 74–74. 5 indexed citations
11.
Kim, Kwang-Woo, So‐Young Bang, Young Bin Joo, et al.. (2016). Response to Intravenous Cyclophosphamide Treatment for Lupus Nephritis Associated with Polymorphisms in theFCGR2B-FCRLALocus. The Journal of Rheumatology. 43(6). 1045–1049. 11 indexed citations
12.
Lee, Hye‐Soon, Taehyeung Kim, So‐Young Bang, et al.. (2013). Ethnic specificity of lupus-associated loci identified in a genome-wide association study in Korean women. Annals of the Rheumatic Diseases. 73(6). 1240–1245. 57 indexed citations
13.
Lee, Seung Hun, Seon‐Woo Lee, Seong Hee Ahn, et al.. (2013). Multiple gene polymorphisms can improve prediction of nonvertebral fracture in postmenopausal women. Journal of Bone and Mineral Research. 28(10). 2156–2164. 17 indexed citations
15.
Han, Tae‐Un, Soo‐Kyung Cho, Taehyeung Kim, et al.. (2012). Association of an activity‐enhancing variant of IRAK1 and an MECP2–IRAK1 haplotype with increased susceptibility to rheumatoid arthritis. Arthritis & Rheumatism. 65(3). 590–598. 29 indexed citations
16.
Kim, Taehyeung & Michael R. Flynn. (1995). Numerical simulation of air flow around multiple objects using the discrete vortex method. Journal of Wind Engineering and Industrial Aerodynamics. 56(2-3). 213–234. 6 indexed citations
17.
Kim, Taehyeung, et al.. (1993). Numerical Calculation of Inertial Aspiration Efficiency of Aerosols into Thin-Walled Sampling Inlets. Aerosol Science and Technology. 19(3). 227–242. 2 indexed citations
18.
Kim, Taehyeung & Michael R. Flynn. (1992). THE EFFECT OF CONTAMINANT SOURCE MOMENTUM ON A WORKER'S BREATHING ZONE CONCENTRATION IN A UNIFORM FREESTREAM. American Industrial Hygiene Association Journal. 53(12). 757–766. 20 indexed citations
19.
Kim, Taehyeung & Michael R. Flynn. (1992). The Effect of Contaminant Source Momentum on a Workerʼs Breathing Zone Concentration in a Uniform Freestream. American Industrial Hygiene Association Journal. 53(12). 757–766. 3 indexed citations
20.
Kim, Taehyeung & Michael R. Flynn. (1991). MODELING A WORKER'S EXPOSURE FROM A HAND-HELD SOURCE IN A UNIFORM FREESTREAM. American Industrial Hygiene Association Journal. 52(11). 458–463. 20 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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