Young H. Kim

3.3k total citations
77 papers, 2.5k citations indexed

About

Young H. Kim is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, Young H. Kim has authored 77 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Immunology, 14 papers in Oncology and 13 papers in Surgery. Recurrent topics in Young H. Kim's work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (15 papers). Young H. Kim is often cited by papers focused on Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (15 papers). Young H. Kim collaborates with scholars based in United States, South Korea and Japan. Young H. Kim's co-authors include Beom K. Choi, Byoung S. Kwon, Jonathan R. Pollack, Woojin Kang, Dass S. Vinay, Su K. Seo, Juan V. Fayos, Michael W. Kattan, Timothy B. Boone and Jae‐Hoon Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Young H. Kim

75 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young H. Kim United States 29 919 898 547 525 259 77 2.5k
Kathleen C. Torkko United States 29 900 1.0× 517 0.6× 661 1.2× 916 1.7× 290 1.1× 46 2.6k
Karen Dresser United States 29 616 0.7× 428 0.5× 1.0k 1.9× 605 1.2× 516 2.0× 75 2.7k
Janice M. Lage United States 39 394 0.4× 257 0.3× 622 1.1× 496 0.9× 728 2.8× 98 3.5k
T. Ming Chu United States 24 625 0.7× 311 0.3× 556 1.0× 849 1.6× 337 1.3× 53 2.1k
Akira Hirasawa Japan 34 738 0.8× 324 0.4× 1.4k 2.6× 252 0.5× 186 0.7× 130 3.0k
Takatsugu Okegawa Japan 25 780 0.8× 168 0.2× 1.1k 2.0× 708 1.3× 397 1.5× 96 2.6k
Leonard J. Appleman United States 29 1.5k 1.6× 761 0.8× 1.3k 2.4× 1.2k 2.3× 467 1.8× 178 3.3k
A.W.S. Ritchie United Kingdom 22 317 0.3× 337 0.4× 296 0.5× 960 1.8× 426 1.6× 80 1.9k
José I. Diaz United States 18 539 0.6× 690 0.8× 835 1.5× 257 0.5× 165 0.6× 54 2.1k
Scott R. Florell United States 30 1.0k 1.1× 263 0.3× 879 1.6× 210 0.4× 133 0.5× 122 2.5k

Countries citing papers authored by Young H. Kim

Since Specialization
Citations

This map shows the geographic impact of Young H. 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 H. 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 H. Kim more than expected).

Fields of papers citing papers by Young H. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young H. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young H. Kim. A scholar is included among the top collaborators of Young H. 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 H. Kim. Young H. 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, Junbong, et al.. (2024). Exploring Deep Learning Applications using Ultrasound Single View Cines in Acute Gallbladder Pathologies: Preliminary Results. Academic Radiology. 32(2). 770–775. 2 indexed citations
2.
Nguyen, Daniel, et al.. (2024). Encouragement vs. liability: How prompt engineering influences ChatGPT-4's radiology exam performance. Clinical Imaging. 115. 110276–110276. 6 indexed citations
3.
4.
5.
Dupuis, C, et al.. (2021). Ultrasonographic evaluation of patients with abnormal liver function tests in the emergency department. ULTRASONOGRAPHY. 41(2). 243–262. 6 indexed citations
6.
Kim, Seon-Hee, Rohit Kumar Singh, Chungyong Han, et al.. (2020). Chronic activation of 4-1BB signaling induces granuloma development in tumor-draining lymph nodes that is detrimental to subsequent CD8+ T cell responses. Cellular and Molecular Immunology. 18(8). 1956–1968. 11 indexed citations
7.
Han, Chungyong, Seon-Hee Kim, Rohit Kumar Singh, et al.. (2018). Desensitized chimeric antigen receptor T cells selectively recognize target cells with enhanced antigen expression. Nature Communications. 9(1). 468–468. 28 indexed citations
8.
Karam, Adib R., Young H. Kim, & Michael T. Corwin. (2013). Gadoxetate disodium-enhanced liver MRI: gallbladder opacification patterns during hepatobiliary phase. Clinical Imaging. 38(1). 42–49. 1 indexed citations
9.
Kim, Young H., Beom K. Choi, Ho S. Oh, et al.. (2009). Mechanisms involved in synergistic anticancer effects of anti-4-1BB and cyclophosphamide therapy. Molecular Cancer Therapeutics. 8(2). 469–478. 41 indexed citations
10.
Kim, Young H., et al.. (2008). Combination Therapy with Cisplatin and Anti–4-1BB: Synergistic Anticancer Effects and Amelioration of Cisplatin-Induced Nephrotoxicity. Cancer Research. 68(18). 7264–7269. 47 indexed citations
11.
Bergamaschi, Anna, Young H. Kim, Kevin Kwei, et al.. (2008). CAMK1D amplification implicated in epithelial–mesenchymal transition in basal‐like breast cancer. Molecular Oncology. 2(4). 327–339. 43 indexed citations
12.
Choi, Beom K., Young H. Kim, Woojin Kang, et al.. (2007). Mechanisms Involved in Synergistic Anticancer Immunity of Anti-4-1BB and Anti-CD4 Therapy. Cancer Research. 67(18). 8891–8899. 54 indexed citations
13.
Subramanian, Hariharan, et al.. (2007). Application of mesoscopic light transport theory to ultra-early detection of cancer in a single biological cell. Bulletin of the American Physical Society. 1 indexed citations
14.
Giacomini, Craig P., Suet Yi Leung, Xin Chen, et al.. (2005). A Gene Expression Signature of Genetic Instability in Colon Cancer. Cancer Research. 65(20). 9200–9205. 56 indexed citations
15.
Bashyam, Murali Dharan, Ryan J. Bair, Young H. Kim, et al.. (2005). Array-Based Comparative Genomic Hybridization Identifies Localized DNA Amplifications and Homozygous Deletions in Pancreatic Cancer. Neoplasia. 7(6). 556–IN16. 149 indexed citations
16.
Huang, Jiayi, et al.. (2005). Multidetector CT Urography. Journal of Computer Assisted Tomography. 30(1). 33–36. 12 indexed citations
17.
Wang, Pei, Young H. Kim, Jonathan R. Pollack, & Robert Tibshirani. (2004). Boosted PRIM with application to searching for oncogenic pathway of lung cancer. 604–609. 4 indexed citations
18.
Kim, Young H. & Linda Sarna. (2004). An Intervention to Increase Mammography Use by Korean American Women. Oncology nursing forum. 31(1). 105–110. 49 indexed citations
19.
Seo, Su K., Jae‐Hoon Choi, Won Yong Kim, et al.. (2003). Blocking 4-1BB/4-1BB Ligand Interactions Prevents Herpetic Stromal Keratitis. The Journal of Immunology. 171(2). 576–583. 52 indexed citations
20.
Ahmad, Khurshid, Young H. Kim, A R Spitzer, et al.. (1992). Total Nodal Radiation in Progressive Sarcoidosis Case Report. American Journal of Clinical Oncology. 15(4). 311–313. 19 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kathleen C. Torkko Breakdown of academic impact, for papers by Karen Dresser Breakdown of academic impact, for papers by Janice M. Lage Breakdown of academic impact, for papers by T. Ming Chu Breakdown of academic impact, for papers by Akira Hirasawa Breakdown of academic impact, for papers by Takatsugu Okegawa Breakdown of academic impact, for papers by Leonard J. Appleman Breakdown of academic impact, for papers by A.W.S. Ritchie Breakdown of academic impact, for papers by José I. Diaz Breakdown of academic impact, for papers by Scott R. Florell
Rankless by CCL
2026