Youngsoo Kim

577 total citations
24 papers, 482 citations indexed

About

Youngsoo Kim is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Youngsoo Kim has authored 24 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 16 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Youngsoo Kim's work include Immune Cell Function and Interaction (19 papers), CAR-T cell therapy research (13 papers) and T-cell and B-cell Immunology (9 papers). Youngsoo Kim is often cited by papers focused on Immune Cell Function and Interaction (19 papers), CAR-T cell therapy research (13 papers) and T-cell and B-cell Immunology (9 papers). Youngsoo Kim collaborates with scholars based in South Korea and United States. Youngsoo Kim's co-authors include Sang‐Bae Han, Jin Tae Hong, Jong Soon Kang, Jaeseung Lim, Hong Kyung Lee, Yeon Jin Kim, Ji Sung Kim, Kiho Lee, Eun Jae Park and Jee Youn Kim and has published in prestigious journals such as The Journal of Immunology, Biochemical and Biophysical Research Communications and Cancer Letters.

In The Last Decade

Youngsoo Kim

24 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Youngsoo Kim South Korea 15 362 276 87 36 32 24 482
Sang A Park South Korea 8 138 0.4× 76 0.3× 121 1.4× 9 0.3× 32 1.0× 13 330
Nga Voong United States 4 193 0.5× 235 0.9× 156 1.8× 20 0.6× 31 1.0× 5 381
Gang Dong United States 7 123 0.3× 189 0.7× 230 2.6× 28 0.8× 147 4.6× 8 504
Barbro Näsman‐Glaser Sweden 12 206 0.6× 138 0.5× 117 1.3× 43 1.2× 32 1.0× 18 409
Scott J. Ragg Australia 10 255 0.7× 75 0.3× 139 1.6× 65 1.8× 39 1.2× 20 462
Shiyong Neo Singapore 11 196 0.5× 146 0.5× 177 2.0× 9 0.3× 64 2.0× 28 393
Loveena Rishi United Kingdom 8 98 0.3× 135 0.5× 134 1.5× 39 1.1× 30 0.9× 9 399
Olga Collins Canada 14 46 0.1× 131 0.5× 185 2.1× 23 0.6× 60 1.9× 17 431
Christian Geltinger Japan 10 63 0.2× 134 0.5× 192 2.2× 12 0.3× 35 1.1× 11 380

Countries citing papers authored by Youngsoo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Youngsoo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngsoo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Youngsoo Kim. A scholar is included among the top collaborators of Youngsoo 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 Youngsoo Kim. Youngsoo 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.
Lee, Hong Kyung, Kihyeon Kim, Hyung Sook Kim, et al.. (2022). The role of CCL2, CCL7, ICAM-1, and VCAM-1 in interaction of endothelial cells and natural killer cells. International Immunopharmacology. 113(Pt A). 109332–109332. 16 indexed citations
2.
Park, Eun Jae, Hong Kyung Lee, Jieun Yun, et al.. (2021). CD48-expressing non-small-cell lung cancer cells are susceptible to natural killer cell–mediated cytotoxicity. Archives of Pharmacal Research. 45(1). 1–10. 20 indexed citations
3.
Park, Eun Jae, et al.. (2019). Role of CXCR3 in natural killer cell migration to melanoma cells. The Journal of Immunology. 202(1_Supplement). 51.17–51.17. 3 indexed citations
4.
Kim, Ji Sung, Hong Kyung Lee, Hyung Sook Kim, et al.. (2018). Characterization of morphological changes of B16 melanoma cells under natural killer cell attack. International Immunopharmacology. 67. 366–371. 9 indexed citations
5.
Kim, Ju‐Young, Ji Sung Kim, Hong Kyung Lee, et al.. (2018). CXCR3-deficient natural killer cells fail to migrate to B16F10 melanoma cells. International Immunopharmacology. 63. 66–73. 32 indexed citations
6.
Kim, Ji Sung, Hong Kyung Lee, Ki Hun Kim, et al.. (2017). Cd226−/−natural killer cells fail to establish stable contacts with cancer cells and show impaired control of tumor metastasisin vivo. OncoImmunology. 6(8). e1338994–e1338994. 17 indexed citations
7.
Lee, Hong Kyung, Ji Sung Kim, Eun Jae Park, et al.. (2016). Cytokine-induced killer cells interact with tumor lysate–pulsed dendritic cells via CCR5 signaling. Cancer Letters. 378(2). 142–149. 19 indexed citations
8.
Kim, Ji Sung, Hong Kyung Lee, Eun Jae Park, et al.. (2016). Cytokine-induced killer cells hunt individual cancer cells in droves in a mouse model. Cancer Immunology Immunotherapy. 66(2). 193–202. 2 indexed citations
9.
Kim, Ji Sung, Yunsoo Park, Ju‐Young Kim, et al.. (2014). Preclinical and clinical studies on cytokine-induced killer cells for the treatment of renal cell carcinoma. Archives of Pharmacal Research. 37(5). 559–566. 11 indexed citations
10.
Kim, Ji Sung, Ju‐Young Kim, Yeon Jin Kim, et al.. (2012). Inhibition of Human Pancreatic Tumor Growth by Cytokine-Induced Killer Cells in Nude Mouse Xenograft Model. Immune Network. 12(6). 247–247. 9 indexed citations
11.
Kim, Hwan Mook, Jong Soon Kang, Jaeseung Lim, et al.. (2009). Antitumor activity of cytokine-induced killer cells in nude mouse xenograft model. Archives of Pharmacal Research. 32(5). 781–787. 26 indexed citations
12.
Kang, Jong Soon, Song‐Kyu Park, Ki‐Ho Lee, et al.. (2008). Antidiabetic activity of angelan isolated from Angelica gigas Nakai. Archives of Pharmacal Research. 31(11). 1489–1496. 19 indexed citations
13.
Kim, Hwan Mook, Jaeseung Lim, Jong Soon Kang, et al.. (2008). Inhibition of human cervical carcinoma growth by cytokine-induced killer cells in nude mouse xenograft model. International Immunopharmacology. 9(3). 375–380. 21 indexed citations
14.
Kim, Hwan Mook, Jaeseung Lim, Song-Kyu Park, et al.. (2007). Antitumor activity of cytokine-induced killer cells against human lung cancer. International Immunopharmacology. 7(13). 1802–1807. 50 indexed citations
15.
Kim, Hwan Mook, Jaeseung Lim, Yeo Dae Yoon, et al.. (2007). Anti-tumor activity of ex vivo expanded cytokine-induced killer cells against human hepatocellular carcinoma. International Immunopharmacology. 7(13). 1793–1801. 37 indexed citations
16.
Kim, Hwan Mook, Jong Soon Kang, Jaeseung Lim, et al.. (2007). Inhibition of human ovarian tumor growth by cytokine-induced killer cells. Archives of Pharmacal Research. 30(11). 1464–1470. 49 indexed citations
18.
Lee, Chong‐Kil, Jeong Ki Kim, Youngsoo Kim, et al.. (2001). Generation of Macrophages from Early T Progenitors In Vitro. The Journal of Immunology. 166(10). 5964–5969. 53 indexed citations
19.
Kim, Youngchang, et al.. (1998). Genetic Structure of thebphGGene Encoding 2-Hydroxymuconic Semialdehyde Dehydrogenase ofAchromobacter xylosoxidansKF701. Biochemical and Biophysical Research Communications. 246(1). 20–25. 2 indexed citations
20.
Oh, Jung-Mi, et al.. (1996). Nucleotide Sequence of Salicylate Hydroxylase Gene and Its 5′-Flanking Region ofPseudomonas putidaKF715. Biochemical and Biophysical Research Communications. 218(2). 544–548. 23 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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