Pyeung-Hyeun Kim

1.9k total citations
75 papers, 1.6k citations indexed

About

Pyeung-Hyeun Kim is a scholar working on Immunology, Molecular Biology and Cancer Research. According to data from OpenAlex, Pyeung-Hyeun Kim has authored 75 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 34 papers in Molecular Biology and 8 papers in Cancer Research. Recurrent topics in Pyeung-Hyeun Kim's work include Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (23 papers) and TGF-β signaling in diseases (17 papers). Pyeung-Hyeun Kim is often cited by papers focused on Immune Cell Function and Interaction (27 papers), T-cell and B-cell Immunology (23 papers) and TGF-β signaling in diseases (17 papers). Pyeung-Hyeun Kim collaborates with scholars based in South Korea, United States and Nepal. Pyeung-Hyeun Kim's co-authors include Goo‐Young Seo, Seok‐Rae Park, Geun‐Shik Lee, Seung Goo Kang, Sung‐il Yoon, Huijeong Ahn, Hyun‐Jeong Ko, Jung-Hee Lee, Martin F. Kagnoff and Young‐Saeng Jang and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Pyeung-Hyeun Kim

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pyeung-Hyeun Kim South Korea 24 681 612 237 186 119 75 1.6k
Guoxing Zheng United States 24 669 1.0× 690 1.1× 240 1.0× 112 0.6× 124 1.0× 63 1.7k
Nirit Mor‐Vaknin United States 21 915 1.3× 421 0.7× 231 1.0× 109 0.6× 82 0.7× 31 1.8k
Elena Izquierdo Spain 19 491 0.7× 476 0.8× 208 0.9× 117 0.6× 103 0.9× 34 1.4k
Outi Elomaa Finland 23 625 0.9× 915 1.5× 202 0.9× 205 1.1× 164 1.4× 37 1.9k
Urban Švajger Slovenia 25 656 1.0× 969 1.6× 233 1.0× 176 0.9× 159 1.3× 71 2.1k
Natalie K. Wolf United States 14 804 1.2× 679 1.1× 397 1.7× 156 0.8× 78 0.7× 23 1.6k
Liying Wang China 24 718 1.1× 390 0.6× 231 1.0× 184 1.0× 195 1.6× 113 1.9k
Mazdak Ganjalıkhani-Hakemi Iran 23 665 1.0× 731 1.2× 279 1.2× 305 1.6× 124 1.0× 106 1.8k
Patrick J. Murphy United States 22 527 0.8× 484 0.8× 135 0.6× 108 0.6× 228 1.9× 51 1.7k
Jun‐Qi Yang United States 23 518 0.8× 693 1.1× 136 0.6× 242 1.3× 114 1.0× 55 1.6k

Countries citing papers authored by Pyeung-Hyeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Pyeung-Hyeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pyeung-Hyeun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Pyeung-Hyeun Kim. A scholar is included among the top collaborators of Pyeung-Hyeun 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 Pyeung-Hyeun Kim. Pyeung-Hyeun 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.
Jang, Young‐Saeng, Jung Tak Park, Seung Goo Kang, et al.. (2023). Combined Treatment With TGF-β1, Retinoic Acid, and Lactoferrin Robustly Generate Inducible Tregs (iTregs) Against High Affinity Ligand. Immune Network. 23(5). e37–e37. 2 indexed citations
2.
Jang, Young‐Saeng, Goo‐Young Seo, Sunhee Park, et al.. (2021). Lactoferrin Potentiates Inducible Regulatory T Cell Differentiation through TGF-β Receptor III Binding and Activation of Membrane-Bound TGF-β. The Journal of Immunology. 207(10). 2456–2464. 3 indexed citations
3.
Jin, Hyung‐seung, Yoon Park, Yu‐Jin Jung, et al.. (2020). GSK3 Restrains Germinal Center B Cells to Form Plasma Cells. The Journal of Immunology. 206(3). 481–493. 12 indexed citations
4.
Shin, Kyong‐Oh, Yesol Kim, Jaewon Cho, et al.. (2020). Cathelicidin-Related Antimicrobial Peptide Regulates CD73 Expression in Mouse Th17 Cells via p38. Cells. 9(6). 1561–1561. 6 indexed citations
5.
6.
Ahn, Huijeong, et al.. (2018). Role of inflammasome regulation on immune modulators. Journal of Biomedical Research. 32(6). 401–401. 30 indexed citations
7.
Kim, Tae Hee, Wan Seok Song, Hyun‐Jeong Ko, et al.. (2018). Crystal structure of FlgL and its implications for flagellar assembly. Scientific Reports. 8(1). 14307–14307. 23 indexed citations
8.
Kim, Pyeung-Hyeun, Young‐Saeng Jang, Goo‐Young Seo, et al.. (2018). Mechanism underlying the induction of Foxp3+ regulatory T cells by lactoferrin. The Journal of Immunology. 200(Supplement_1). 47.16–47.16. 1 indexed citations
9.
Song, Wan Seok, Geun‐Shik Lee, Seung Goo Kang, et al.. (2017). Tetrameric structure of the flagellar cap protein FliD from Serratia marcescens. Biochemical and Biophysical Research Communications. 489(1). 63–69. 17 indexed citations
10.
Singh, Rohit Kumar, Woo Jin Kim, Pyeung-Hyeun Kim, & Hyo Jeong Hong. (2013). Combined blockade of HER2 and VEGF exerts greater growth inhibition of HER2-overexpressing gastric cancer xenografts than individual blockade. Experimental & Molecular Medicine. 45(11). e52–e52. 32 indexed citations
11.
Kim, Pyeung-Hyeun, et al.. (2012). Retinoic acid is a specific IgA isotype switching factor (120.11). The Journal of Immunology. 188(1_Supplement). 120.11–120.11. 1 indexed citations
12.
Kim, Jaehee, Goo‐Young Seo, & Pyeung-Hyeun Kim. (2011). Activin A Stimulates Mouse APCs to Express BAFF via ALK4-Smad3 Pathway. Immune Network. 11(4). 196–196. 6 indexed citations
13.
Seo, Goo‐Young, et al.. (2010). Macrophage-derived BAFF induces AID expression through the p38MAPK/CREB and JNK/AP-1 pathways. Journal of Leukocyte Biology. 89(3). 393–398. 20 indexed citations
14.
Park, Kyounghoon, et al.. (2009). Tiul1 and TGIF are Involved in Downregulation of TGFβ1-induced IgA Isotype Expression. Immune Network. 9(6). 248–248. 2 indexed citations
15.
Kim, Pyeung-Hyeun, et al.. (2006). Effects of Dissolved Oxygen Level on Avermectin B1a Production by Streptomyces avermitilis in Computer-Controlled Bioreactor Cultures. Journal of Microbiology and Biotechnology. 16(11). 1690–1698. 7 indexed citations
16.
Han, Young Hwan, et al.. (2004). Kinetics and Biological Function of Transforming Growth Factor-$\beta$ Isoforms in Bovine and Human Colostrum. Journal of Microbiology and Biotechnology. 14(6). 1267–1274. 9 indexed citations
17.
Kim, Pyeung-Hyeun, et al.. (2003). Macrophage-derived TGF-β1 Induces IgA Isotype Expression. Molecules and Cells. 16(2). 245–250. 11 indexed citations
18.
Ryu, Hoon, et al.. (2000). Regulation of Neutrophil Adhesion by Pituitary Growth Hormone Accompanies Tyrosine Phosphorylation of Jak2, p125FAK, and Paxillin. The Journal of Immunology. 165(4). 2116–2123. 32 indexed citations
19.
Kim, Pyeung-Hyeun, et al.. (1998). Cholera Toxin and Cholera Toxin B Subunit Induce IgA Switching Through the Action of TGF-β1. The Journal of Immunology. 160(3). 1198–1203. 55 indexed citations
20.
Kim, Pyeung-Hyeun & Rial D. Rolfe. (1989). Characterisation of Protective Antibodies in Hamsters Immunised AgainstClostridium difficileToxins A and B. Microbial Ecology in Health and Disease. 2(1). 7 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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