Young Seob Kim

991 total citations
19 papers, 752 citations indexed

About

Young Seob Kim is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Young Seob Kim has authored 19 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Young Seob Kim's work include Immunotherapy and Immune Responses (10 papers), Immune Response and Inflammation (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Young Seob Kim is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Immune Response and Inflammation (6 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Young Seob Kim collaborates with scholars based in South Korea, United States and Croatia. Young Seob Kim's co-authors include Tae Heung Kang, Hee Dong Han, Yeong‐Min Park, Yeong-Min Park, In Duk Jung, Sung‐Eun Lee, Seung Mo Jin, Yong Taik Lim, Hong Sik Shin and Il-Woo Shin and has published in prestigious journals such as Nature Communications, ACS Nano and PLoS ONE.

In The Last Decade

Young Seob Kim

19 papers receiving 746 citations

Peers

Young Seob Kim

IMMUN

ONCOL

BIOMA

Karthik Tiruthani United States

Yumin Wu China

Chayanon Ngambenjawong United States

Yeongseon Byeon South Korea

Zichao Huang China

Dandan Wan China

Ting Su China

Ge Zhu China

Maaz S. Ahmed United States

Karthik Tiruthani United States

Young Seob Kim

314 ×0.7

IMMUN

295 ×1.0

228 ×1.0

279 ×1.4

ONCOL

94 ×1.0

BIOMA

Citations per year, relative to Young Seob Kim Young Seob Kim (= 1×) peers Karthik Tiruthani

Countries citing papers authored by Young Seob Kim

Since Specialization

Citations

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

Fields of papers citing papers by Young Seob Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young Seob Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young Seob Kim. A scholar is included among the top collaborators of Young Seob 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 Young Seob Kim. Young Seob 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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19 of 19 papers shown

Kim, Jae Hwan, Kyoung‐Ho Pyo, Young Seob Kim, et al.. (2024). Successful expansion and cryopreservation of human natural killer cell line NK-92 for clinical manufacturing. PLoS ONE. 19(2). e0294857–e0294857. 4 indexed citations

Kim, Jae Hwan, Young Seob Kim, Mi Ran Yun, et al.. (2021). Primary Tumor Suppression and Systemic Immune Activation of Macrophages through the Sting Pathway in Metastatic Skin Tumor. Yonsei Medical Journal. 63(1). 42–42. 10 indexed citations

Pyo, Kyoung‐Ho, Young Jun Koh, Jae Hwan Kim, et al.. (2021). Abstract 1826: Comprehensive preclinical study on GI-101, a novel CD80-IgG4-IL2 variant protein, as a therapeutic antibody candidate with bispecific immuno-oncology target. Cancer Research. 81(13_Supplement). 1826–1826. 6 indexed citations

Kim, Young Seob, Sung‐Eun Lee, Ji‐Won Lee, et al.. (2020). Improvement of DC-based vaccines using adjuvant TLR4-binding 60S acidic ribosomal protein P2 and immune checkpoint inhibitors. Cancer Immunology Immunotherapy. 70(4). 1075–1088. 17 indexed citations

Lee, Ji‐Won, Young Seob Kim, Sung‐Eun Lee, et al.. (2020). Interactions between tumor-derived proteins and Toll-like receptors. Experimental & Molecular Medicine. 52(12). 1926–1935. 74 indexed citations

Kang, Tae Heung, Andrew Yang, Sung‐Eun Lee, et al.. (2020). Annexin A5 as an immune checkpoint inhibitor and tumor-homing molecule for cancer treatment. Nature Communications. 11(1). 1137–1137. 64 indexed citations

Kim, Young Seob, Sung‐Eun Lee, Manh-Cuong Vo, et al.. (2019). A novel TLR4 binding protein, 40S ribosomal protein S3, has potential utility as an adjuvant in a dendritic cell-based vaccine. Journal for ImmunoTherapy of Cancer. 7(1). 60–60. 41 indexed citations

Song, Chanyoung, Hathaichanok Phuengkham, Young Seob Kim, et al.. (2019). Syringeable immunotherapeutic nanogel reshapes tumor microenvironment and prevents tumor metastasis and recurrence. Nature Communications. 10(1). 3745–3745. 135 indexed citations

Kang, Tae Heung, Chih‐Ping Mao, Young Seob Kim, et al.. (2019). TLR9 acts as a sensor for tumor-released DNA to modulate anti-tumor immunity after chemotherapy. Journal for ImmunoTherapy of Cancer. 7(1). 260–260. 41 indexed citations

10.

Kim, Sunyoung, Sohyun Kim, Jung‐Eun Kim, et al.. (2019). Lyophilizable and Multifaceted Toll-like Receptor 7/8 Agonist-Loaded Nanoemulsion for the Reprogramming of Tumor Microenvironments and Enhanced Cancer Immunotherapy. ACS Nano. 13(11). 12671–12686. 108 indexed citations

11.

Lee, Sung Eun, Young Seob Kim, Hee Dong Han, et al.. (2019). Repositioning of the antipsychotic drug TFP for sepsis treatment. Journal of Molecular Medicine. 97(5). 647–658. 19 indexed citations

12.

Kim, Young Seob & Sung Gu Kang. (2019). Assessment of M2O(111) (M = Li and Na) surfaces for CO2 adsorption based on first-principles calculations. Applied Surface Science. 486. 571–577. 11 indexed citations

13.

Kim, Young Seob, In Duk Jung, Hee Dong Han, et al.. (2018). A novel function of API5 (apoptosis inhibitor 5), TLR4-dependent activation of antigen presenting cells. OncoImmunology. 7(10). e1472187–e1472187. 16 indexed citations

14.

Choi, Chel Hun, Tae Heung Kang, Joon Seon Song, et al.. (2018). Elevated expression of pancreatic adenocarcinoma upregulated factor (PAUF) is associated with poor prognosis and chemoresistance in epithelial ovarian cancer. Scientific Reports. 8(1). 12161–12161. 17 indexed citations

15.

Kim, Young Seob, et al.. (2018). Verification of EMI Limit by Means of a Receiver Sensitivity Through Interference in Case of Occurring from Vehicle Electric Parts in the ITS Frequency Band (5.86-5.93 GHz). 57–59. 2 indexed citations

16.

Jang, Jong‐Hwa, Eun Jung Choi, Young Seob Kim, et al.. (2016). Annexin A5 Increases Survival in Murine Sepsis Model by Inhibiting HMGB1-Mediated Proinflammation and Coagulation. Molecular Medicine. 22(1). 424–436. 28 indexed citations

17.

Kang, Tae Heung, Young Seob Kim, Seokho Kim, et al.. (2015). Pancreatic adenocarcinoma upregulated factor serves as adjuvant by activating dendritic cells through stimulation of TLR4. Oncotarget. 6(29). 27751–27762. 23 indexed citations

18.

Kang, Tae Heung, Jayne Knoff, Benjamin Yang, et al.. (2014). Treatment of Tumors with Vitamin E Suppresses Myeloid Derived Suppressor Cells and Enhances CD8+ T Cell-Mediated Antitumor Effects. PLoS ONE. 9(7). e103562–e103562. 29 indexed citations

19.

Park, Yeong-Min, Seung Jun Lee, Young Seob Kim, et al.. (2013). Nanoparticle-Based Vaccine Delivery for Cancer Immunotherapy. Immune Network. 13(5). 177–177. 107 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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