Sae Bom Lee

866 total citations
17 papers, 493 citations indexed

About

Sae Bom Lee is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Sae Bom Lee has authored 17 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Sae Bom Lee's work include CAR-T cell therapy research (9 papers), Silicon Carbide Semiconductor Technologies (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Sae Bom Lee is often cited by papers focused on CAR-T cell therapy research (9 papers), Silicon Carbide Semiconductor Technologies (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Sae Bom Lee collaborates with scholars based in United States, South Korea and Ethiopia. Sae Bom Lee's co-authors include Gina M. DeNicola, Sung Won Kwon, Ji Yeon Hong, Won Jun Lee, Yun Pyo Kang, Choon‐Sik Park, Hyung Min Kim, Marco L. Davila, Kristen Spitler and Justin C. Boucher and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sae Bom Lee

16 papers receiving 486 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sae Bom Lee United States	9	200	187	146	84	73	17	493
Lina Romero United States	11	327 1.6×	93 0.5×	148 1.0×	35 0.4×	261 3.6×	13	606
Zhong-ze Li United States	7	126 0.6×	109 0.6×	95 0.7×	36 0.4×	35 0.5×	8	361
Bilan Li China	14	295 1.5×	93 0.5×	236 1.6×	85 1.0×	111 1.5×	20	613
Sonia Patel United States	8	187 0.9×	204 1.1×	105 0.7×	106 1.3×	84 1.2×	13	506
Jia Gu China	12	184 0.9×	116 0.6×	36 0.2×	99 1.2×	136 1.9×	33	428
Xuan Jiang China	9	186 0.9×	252 1.3×	64 0.4×	63 0.8×	53 0.7×	17	464
Reid Loveless United States	11	332 1.7×	85 0.5×	94 0.6×	127 1.5×	137 1.9×	14	507
Taohua Yue China	15	330 1.6×	144 0.8×	143 1.0×	56 0.7×	174 2.4×	24	607
Yongqing Gu China	15	357 1.8×	132 0.7×	140 1.0×	50 0.6×	125 1.7×	35	565

Countries citing papers authored by Sae Bom Lee

Since Specialization

Citations

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

Fields of papers citing papers by Sae Bom Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae Bom Lee. 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 Sae Bom Lee. The network helps show where Sae Bom Lee may publish in the future.

Co-authorship network of co-authors of Sae Bom Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Sae Bom Lee. A scholar is included among the top collaborators of Sae Bom Lee 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 Sae Bom Lee. Sae Bom Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Zhang, Yongliang, Muhammad Junaid Tariq, Eduardo Cortes Gomez, et al.. (2025). IFN-γ–driven skewing towards Th1 over Th17 differentiation underlies CRS and neutropenia in CAR-T therapy. Journal of Clinical Investigation. 136(1).

Roselli, Emiliano, Justin C. Boucher, Gongbo Li, et al.. (2021). 4-1BB and optimized CD28 co-stimulation enhances function of human mono-specific and bi-specific third-generation CAR T cells. Journal for ImmunoTherapy of Cancer. 9(10). e003354–e003354. 85 indexed citations

Roselli, Emiliano, Justin C. Boucher, Gongbo Li, et al.. (2021). 105 4–1BB and optimized CD28 co-stimulation enhances function of human mono- and bi-specific third-generation CAR T cells. SHILAP Revista de lepidopterología. A115–A116. 1 indexed citations

Boucher, Justin C., Gongbo Li, Hiroshi Kotani, et al.. (2020). CD28 Costimulatory Domain–Targeted Mutations Enhance Chimeric Antigen Receptor T-cell Function. Cancer Immunology Research. 9(1). 62–74. 48 indexed citations

Na, Kwon Joong, Hongyoon Choi, Sae Bom Lee, et al.. (2020). Reciprocal change in Glucose metabolism of Cancer and Immune Cells mediated by different Glucose Transporters predicts Immunotherapy response. Theranostics. 10(21). 9579–9590. 35 indexed citations

Boucher, Justin C., et al.. (2020). Optimization of CAR T cell co-stimulation reduces to MDSC suppression. The Journal of Immunology. 204(1_Supplement). 170.3–170.3. 2 indexed citations

Kang, Yun Pyo, Nguyen Phuoc Long, Gi‐Bang Koo, et al.. (2019). Spheroid-Induced Epithelial-Mesenchymal Transition Provokes Global Alterations of Breast Cancer Lipidome: A Multi-Layered Omics Analysis. Frontiers in Oncology. 9. 145–145. 34 indexed citations

Jain, Michael D., Meghan Menges, Rawan Faramand, et al.. (2019). Tumor Inflammation and Myeloid Derived Suppressor Cells Reduce the Efficacy of CD19 CAR T Cell Therapy in Lymphoma. Blood. 134(Supplement_1). 2885–2885. 9 indexed citations

Kotani, Hiroshi, Rawan Faramand, Sae Bom Lee, et al.. (2019). Prediction of toxicity in R/R DLBCL treated with Axicabtagene Clioleucel (19-28z CAR T). Annals of Oncology. 30. vi82–vi82. 1 indexed citations

10.

Jain, Michael D., Rawan Faramand, Verena Staedtke, et al.. (2019). The Lymphoma Tumor Microenvironment Influences Toxicity after CD19 CAR T Cell Therapy. Blood. 134(Supplement_1). 4105–4105. 4 indexed citations

11.

Boucher, Justin C., Gongbo Li, Hiroshi Kotani, et al.. (2019). Mutation of the CD28 Co-Stimulatory Domain Confers Enhanced CAR T Cell Function. Blood. 134(Supplement_1). 248–248. 2 indexed citations

12.

Boucher, Justin C., et al.. (2019). MDSC Suppression of CAR T Cells Can be Reduced By Targeted Signaling Disruption. Blood. 134(Supplement_1). 4438–4438. 8 indexed citations

13.

Seo, Jeong‐Sun, Ji‐Won Lee, Jong-Yeon Shin, et al.. (2018). Whole Exome and Transcriptome Analyses Integrated with Microenvironmental Immune Signatures of Lung Squamous Cell Carcinoma. Cancer Immunology Research. 6(7). 848–859. 22 indexed citations

14.

Lee, Sae Bom, et al.. (2017). The Regulation of NRF2 by Nutrient-Responsive Signaling and Its Role in Anabolic Cancer Metabolism. Antioxidants and Redox Signaling. 29(17). 1774–1791. 60 indexed citations

15.

Kang, Yun Pyo, Sae Bom Lee, Ji-Min Lee, et al.. (2016). Metabolic Profiling Regarding Pathogenesis of Idiopathic Pulmonary Fibrosis. Journal of Proteome Research. 15(5). 1717–1724. 132 indexed citations

16.

Yoo, Hyun Ju, Sae Bom Lee, Hyun Joo Lee, et al.. (2016). Porcine endothelium induces DNA–histone complex formation in human whole blood: a harmful effect of histone on coagulation and endothelial activation. Xenotransplantation. 23(6). 464–471. 5 indexed citations

17.

Kang, Yun Pyo, Won Jun Lee, Ji Yeon Hong, et al.. (2014). Novel Approach for Analysis of Bronchoalveolar Lavage Fluid (BALF) Using HPLC-QTOF-MS-Based Lipidomics: Lipid Levels in Asthmatics and Corticosteroid-Treated Asthmatic Patients. Journal of Proteome Research. 13(9). 3919–3929. 45 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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