Eugene Kim

1.5k total citations · 1 hit paper
23 papers, 1.1k citations indexed

About

Eugene Kim is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Eugene Kim has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 4 papers in Oncology. Recurrent topics in Eugene Kim's work include Immune Response and Inflammation (4 papers), Protein Tyrosine Phosphatases (3 papers) and Immune Cell Function and Interaction (3 papers). Eugene Kim is often cited by papers focused on Immune Response and Inflammation (4 papers), Protein Tyrosine Phosphatases (3 papers) and Immune Cell Function and Interaction (3 papers). Eugene Kim collaborates with scholars based in United States, South Korea and Japan. Eugene Kim's co-authors include Morgan Sheng, Martin Niethammer, Byunghee Kang, Tae‐Hoon Kim, Soon Dong Lee, Tae Sung Kim, Y. C. Hah, Sin-Bi Kang, Dayong Zhai and Daeho Cho and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Eugene Kim

21 papers receiving 1.1k citations

Hit Papers

Interaction between the C terminus of NMDA receptor subun... 1996 2026 2006 2016 1996 200 400 600

Peers

Eugene Kim
Wendy L. Imlach United States
Brian J. Hillier United States
Sunil Mehta United States
Eugene Kim
Citations per year, relative to Eugene Kim Eugene Kim (= 1×) peers Mineo Matsumoto

Countries citing papers authored by Eugene Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Kim. A scholar is included among the top collaborators of Eugene 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 Eugene Kim. Eugene 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.
Salas‐Benito, Diego, Sangwoo Park, Christine Ho, et al.. (2025). Tandem CAR-T cells targeting mesothelin and MUC16 overcome tumor heterogeneity by targeting one antigen at a time. Journal for ImmunoTherapy of Cancer. 13(9). e012822–e012822.
2.
Hurtado, Maria D., et al.. (2024). Language Disparities in Patient Portal Access and Use among Radiation Oncology Patients Across an Integrated Health Enterprise. International Journal of Radiation Oncology*Biology*Physics. 120(2). e48–e49.
3.
Matoba, Yusuke, Venkatesh Pooladanda, Maryam Azimi, et al.. (2024). Targeting Galectin 3 illuminates its contributions to the pathology of uterine serous carcinoma. British Journal of Cancer. 130(9). 1463–1476. 6 indexed citations
4.
Matoba, Yusuke, Eugene Kim, Amy Bregar, et al.. (2023). Mechanisms of resistance to bispecific T-cell engager therapy for ovarian cancer.. Journal of Clinical Oncology. 41(16_suppl). 5571–5571. 1 indexed citations
5.
Kim, Eugene, Danielle S. Bitterman, Benjamin H. Kann, et al.. (2021). Hidden in Plain Sight: Clinical Informaticians are the Oncology Subspecialists You Did Not Know You Needed. Clinical Oncology. 34(2). 135–140. 5 indexed citations
6.
Hong, Hye-Jin, Hui Xuan Lim, Ju Han Song, et al.. (2015). Aminoacyl-tRNA synthetase-interacting multifunctional protein 1 suppresses tumor growth in breast cancer-bearing mice by negatively regulating myeloid-derived suppressor cell functions. Cancer Immunology Immunotherapy. 65(1). 61–72. 17 indexed citations
7.
Huh, Chul‐Sung, Hwan Soo Kim, Eugene Kim, et al.. (2015). The Early Intestinal Microbiota of Healthy Korean Newborns. Iranian Journal of Pediatrics. 25(5). e2079–e2079. 4 indexed citations
8.
Zhai, Dayong, Eugene Kim, Matthew Swift, et al.. (2013). Three-dimensional structure of Bax-mediated pores in membrane bilayers. Cell Death and Disease. 4(6). e683–e683. 70 indexed citations
9.
Kim, Eugene, Hye-Jin Hong, Daeho Cho, et al.. (2011). Enhancement of Toll-like receptor 2-mediated immune responses by AIMP1, a novel cytokine, in mouse dendritic cells. Immunology. 134(1). 73–81. 5 indexed citations
10.
Kim, Eugene, Seung Hyun Kim, Sung‐Hoon Kim, Daeho Cho, & Tae Sung Kim. (2008). AIMP1/p43 Protein Induces the Maturation of Bone Marrow-Derived Dendritic Cells with T Helper Type 1-Polarizing Ability. The Journal of Immunology. 180(5). 2894–2902. 41 indexed citations
11.
Lee, Byung Cheon, InSug O‐Sullivan, Eugene Kim, et al.. (2008). A DNA adjuvant encoding a fusion protein between anti‐CD3 single‐chain Fv and AIMP1 enhances T helper type 1 cell‐mediated immune responses in antigen‐sensitized mice. Immunology. 126(1). 84–91. 4 indexed citations
12.
Kim, Tae S., Byung Cheon Lee, Eugene Kim, Daeho Cho, & Edward P. Cohen. (2008). Gene transfer of AIMP1 and B7.1 into epitope-loaded, fibroblasts induces tumor-specific CTL immunity, and prolongs the survival period of tumor-bearing mice. Vaccine. 26(47). 5928–5934. 9 indexed citations
13.
Kim, Ki Soo, et al.. (2006). Electrophysiological effects of brompheniramine on cardiac ion channels and action potential. Pharmacological Research. 54(6). 414–420. 18 indexed citations
14.
Kim, Eugene, Byunghee Kang, & Tae‐Hoon Kim. (2005). Inhibition of interleukin-12 production in mouse macrophages by hydroquinone, a reactive metabolite of benzene, via suppression of nuclear factor-κB binding activity. Immunology Letters. 99(1). 24–29. 39 indexed citations
15.
Shin, Edward J., et al.. (2003). Screening of middle ear effusion for the common sinus pathogen Bipolaris. European Archives of Oto-Rhino-Laryngology. 260(2). 78–80. 10 indexed citations
16.
Early, Anne, et al.. (2001). Protein Tyrosine Phosphatase PTP1 Negatively Regulates Dictyostelium STATa and Is Required for Proper Cell-Type Proportioning. Developmental Biology. 232(1). 233–245. 9 indexed citations
17.
Lee, Soon Dong, et al.. (2001). Pseudonocardia kongjuensis sp. nov., isolated from a gold mine cave.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 51(4). 1505–1510. 30 indexed citations
18.
Kim, Eugene, et al.. (1999). Regulation of Dictyostelium Protein-tyrosine Phosphatase-3 (PTP3) through Osmotic Shock and Stress Stimulation and Identification of pp130 as a PTP3 Substrate. Journal of Biological Chemistry. 274(17). 12129–12138. 22 indexed citations
19.
Kim, Eugene & Morgan Sheng. (1996). Differential K + Channel Clustering Activity of PSD-95 and SAP97, Two Related Membrane-associated Putative Guanylate Kinases. Neuropharmacology. 35(7). 993–1000. 132 indexed citations
20.
Niethammer, Martin, Eugene Kim, & Morgan Sheng. (1996). Interaction between the C terminus of NMDA receptor subunits and multiple members of the PSD-95 family of membrane-associated guanylate kinases. Journal of Neuroscience. 16(7). 2157–2163. 637 indexed citations breakdown →

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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