B.J. Kim

1.6k total citations · 2 hit papers
22 papers, 1.3k citations indexed

About

B.J. Kim is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, B.J. Kim has authored 22 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Biomedical Engineering. Recurrent topics in B.J. Kim's work include RNA Interference and Gene Delivery (9 papers), Immunotherapy and Immune Responses (7 papers) and Advanced biosensing and bioanalysis techniques (6 papers). B.J. Kim is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Immunotherapy and Immune Responses (7 papers) and Advanced biosensing and bioanalysis techniques (6 papers). B.J. Kim collaborates with scholars based in United States, South Korea and Australia. B.J. Kim's co-authors include Michael J. Sailor, Ji‐Ho Park, Erkki Ruoslahti, Jinyoung Kang, Hong‐Bo Pang, Zhi‐Gang She, Dokyoung Kim, Tambet Teesalu, Salvatore Guglielmino and Jinmyoung Joo and has published in prestigious journals such as Science, Advanced Materials and Nature Communications.

In The Last Decade

B.J. Kim

19 papers receiving 1.3k citations

Hit Papers

Antibiotic-loaded nanoparticles targeted to the site of i... 2018 2026 2020 2023 2018 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B.J. Kim United States 12 750 423 211 204 154 22 1.3k
Guangchao Qing China 15 610 0.8× 643 1.5× 196 0.9× 196 1.0× 260 1.7× 27 1.3k
Sabine Barnert Germany 21 616 0.8× 260 0.6× 267 1.3× 138 0.7× 150 1.0× 27 1.3k
Jieming Li China 15 596 0.8× 494 1.2× 271 1.3× 145 0.7× 110 0.7× 38 1.2k
Jie Liang China 13 512 0.7× 401 0.9× 116 0.5× 97 0.5× 261 1.7× 19 1.1k
Xi Zhu China 17 857 1.1× 597 1.4× 492 2.3× 234 1.1× 121 0.8× 36 1.7k
Shaojun Pan China 19 613 0.8× 399 0.9× 145 0.7× 195 1.0× 87 0.6× 30 1.1k
Vipul Gujrati Germany 18 542 0.7× 786 1.9× 170 0.8× 157 0.8× 144 0.9× 30 1.4k
Zhijin Fan China 21 621 0.8× 604 1.4× 169 0.8× 212 1.0× 199 1.3× 47 1.2k
Huining He China 21 932 1.2× 273 0.6× 401 1.9× 71 0.3× 207 1.3× 27 1.4k

Countries citing papers authored by B.J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by B.J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B.J. Kim

This figure shows the co-authorship network connecting the top 25 collaborators of B.J. Kim. A scholar is included among the top collaborators of B.J. 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 B.J. Kim. B.J. 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.
Cui, Yufei, Nouran S. Abdelfattah, Laura Maiorino, et al.. (2025). Quantitative Cell Type–Specific Immunopeptidome Analysis of Macrophage and Tumor Coevolution Reveals Therapeutic MHC-I Peptides in Glioblastoma. Cancer Research. 85(24). 4958–4976.
2.
Kim, B.J., et al.. (2025). Progress in cancer vaccines enabled by nanotechnology. Nature Nanotechnology. 20(11). 1558–1572.
4.
Roerden, Malte, Andrea Castro, Yufei Cui, et al.. (2024). Neoantigen architectures define immunogenicity and drive immune evasion of tumors with heterogenous neoantigen expression. Journal for ImmunoTherapy of Cancer. 12(11). e010249–e010249. 8 indexed citations
5.
Pires, Ivan S., et al.. (2024). Charge‐Stabilized Nanodiscs as a New Class of Lipid Nanoparticles. Advanced Materials. 36(52). e2408307–e2408307. 3 indexed citations
6.
Jiang, Kaiyi, Lukas Villiger, Alişan Kayabölen, et al.. (2024). Rapid in silico directed evolution by a protein language model with EVOLVEpro. Science. 387(6732). eadr6006–eadr6006. 73 indexed citations breakdown →
7.
Pires, Ivan S., Kaiyuan Ni, Mariane B. Melo, et al.. (2023). Controlled lipid self-assembly for scalable manufacturing of next-generation immune stimulating complexes. Chemical Engineering Journal. 464. 142664–142664. 9 indexed citations
8.
Backlund, Coralie M., Sasan Jalili‐Firoozinezhad, B.J. Kim, & Darrell J. Irvine. (2023). Biomaterials-Mediated Engineering of the Immune System. Annual Review of Immunology. 41(1). 153–179. 25 indexed citations
9.
Nguyen, Kim B., Malte Roerden, Coralie M. Backlund, et al.. (2023). Decoupled neoantigen cross-presentation by dendritic cells limits anti-tumor immunity against tumors with heterogeneous neoantigen expression. eLife. 12. 11 indexed citations
10.
Kim, B.J., Dong Soo Yun, Na Li, et al.. (2022). Optimization of storage conditions for lipid nanoparticle-formulated self-replicating RNA vaccines. Journal of Controlled Release. 353. 241–253. 86 indexed citations
11.
Kim, B.J., et al.. (2021). Fusogenic porous silicon nanoparticles as a broad-spectrum immunotherapy against bacterial infections. Nanoscale Horizons. 6(4). 330–340. 23 indexed citations
12.
Kumeria, Tushar, Joanna Wang, B.J. Kim, et al.. (2020). Enteric Polymer-Coated Porous Silicon Nanoparticles for Site-Specific Oral Delivery of IgA Antibody. ACS Biomaterials Science & Engineering. 8(10). 4140–4152. 21 indexed citations
13.
Kim, B.J. & Michael J. Sailor. (2019). Synthesis, Functionalization, and Characterization of Fusogenic Porous Silicon Nanoparticles for Oligonucleotide Delivery. Journal of Visualized Experiments. 4 indexed citations
14.
Mariani, Stefano, Valentina Robbiano, Antonino A. La Mattina, et al.. (2019). Moldless Printing of Silicone Lenses with Embedded Nanostructured Optical Filters. Advanced Functional Materials. 30(4). 22 indexed citations
15.
Kim, B.J., Ji‐Ho Park, & Michael J. Sailor. (2019). Rekindling RNAi Therapy: Materials Design Requirements for In Vivo siRNA Delivery. Advanced Materials. 31(49). e1903637–e1903637. 247 indexed citations
16.
Kim, B.J. & Michael J. Sailor. (2019). Synthesis, Functionalization, and Characterization of Fusogenic Porous Silicon Nanoparticles for Oligonucleotide Delivery. Journal of Visualized Experiments. 2 indexed citations
17.
Kim, B.J., Hong‐Bo Pang, Jinyoung Kang, et al.. (2018). Immunogene therapy with fusogenic nanoparticles modulates macrophage response to Staphylococcus aureus. Nature Communications. 9(1). 1969–1969. 153 indexed citations
18.
Hussain, Sazid, Jinmyoung Joo, Jinyoung Kang, et al.. (2018). Antibiotic-loaded nanoparticles targeted to the site of infection enhance antibacterial efficacy. Nature Biomedical Engineering. 2(2). 95–103. 328 indexed citations breakdown →
19.
Lee, Junsung, Jiyoung Kim, Moonkyoung Jeong, et al.. (2015). Liposome-Based Engineering of Cells To Package Hydrophobic Compounds in Membrane Vesicles for Tumor Penetration. Nano Letters. 15(5). 2938–2944. 143 indexed citations
20.
Quan, Yu Hua, B.J. Kim, Ji‐Ho Park, et al.. (2014). Highly sensitive and selective anticancer effect by conjugated HA-cisplatin in non-small cell lung cancer overexpressed with CD44. Experimental Lung Research. 40(10). 475–484. 35 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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