Tae Woo Kim

3.4k total citations
88 papers, 2.8k citations indexed

About

Tae Woo Kim is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Tae Woo Kim has authored 88 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 34 papers in Immunology and 14 papers in Oncology. Recurrent topics in Tae Woo Kim's work include Immunotherapy and Immune Responses (20 papers), RNA Interference and Gene Delivery (15 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Tae Woo Kim is often cited by papers focused on Immunotherapy and Immune Responses (20 papers), RNA Interference and Gene Delivery (15 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Tae Woo Kim collaborates with scholars based in South Korea, United States and Australia. Tae Woo Kim's co-authors include Chien‐Fu Hung, Liangmei He, Eric T. Kool, T.‐C. Wu, Sangyong Jon, Hyeongseop Keum, J. Marie Hardwick, David A. Boyd, Wonsik Jung and Jeremy Juang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Tae Woo Kim

83 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae Woo Kim South Korea 31 1.4k 937 386 365 308 88 2.8k
Xiaoting Wang China 27 908 0.6× 947 1.0× 349 0.9× 440 1.2× 198 0.6× 98 2.8k
Andrea Fattorossi Italy 33 1.1k 0.7× 1.0k 1.1× 384 1.0× 740 2.0× 325 1.1× 141 3.5k
Bing Du China 32 1.3k 0.9× 548 0.6× 216 0.6× 458 1.3× 171 0.6× 100 2.8k
Sumio Hayakawa Japan 22 1.1k 0.7× 855 0.9× 275 0.7× 534 1.5× 196 0.6× 44 2.7k
Binod Kumar United States 27 1.6k 1.1× 554 0.6× 622 1.6× 394 1.1× 158 0.5× 80 3.1k
Shanchun Guo United States 24 1.4k 1.0× 649 0.7× 390 1.0× 851 2.3× 341 1.1× 78 3.1k
Giulio Cabrini Italy 36 2.0k 1.4× 562 0.6× 332 0.9× 401 1.1× 594 1.9× 117 4.1k
Ganesh M. Sathe United States 28 1.9k 1.3× 614 0.7× 275 0.7× 521 1.4× 225 0.7× 56 3.3k
Nele Festjens Belgium 22 2.9k 2.0× 1.1k 1.2× 739 1.9× 452 1.2× 165 0.5× 31 4.3k
Younghee Lee South Korea 30 1.4k 0.9× 789 0.8× 204 0.5× 383 1.0× 96 0.3× 152 2.8k

Countries citing papers authored by Tae Woo Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Woo Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Woo Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Woo Kim. A scholar is included among the top collaborators of Tae Woo 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 Tae Woo Kim. Tae Woo 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.
2.
Yu, Byeongjun, Dohyun Yoo, Ki Hyun Kim, et al.. (2022). Effective Combination Immunotherapy through Vessel Normalization Using a Cancer‐Targeting Antiangiogenic Peptide–Antibody Hybrid. Advanced Therapeutics. 5(4). 1 indexed citations
3.
Kim, Mingyo, Tae Woo Kim, Hae Sook Noh, et al.. (2022). Lymph node fibroblastic reticular cells regulate differentiation and function of CD4 T cells via CD25. The Journal of Experimental Medicine. 219(5). 12 indexed citations
4.
Kim, Tae Woo, Yujin Kim, Hyeongseop Keum, et al.. (2022). Combination of a STAT3 inhibitor with anti-PD-1 immunotherapy is an effective treatment regimen for a vemurafenib-resistant melanoma. Molecular Therapy — Oncolytics. 26. 1–14. 17 indexed citations
5.
6.
Keum, Hyeongseop, Jinjoo Kim, Tae Woo Kim, et al.. (2021). A bilirubin-derived nanomedicine attenuates the pathological cascade of pulmonary fibrosis. Biomaterials. 275. 120986–120986. 34 indexed citations
7.
Kim, Yujin, Sukmo Kang, Tae Woo Kim, et al.. (2020). Sequential and Timely Combination of a Cancer Nanovaccine with Immune Checkpoint Blockade Effectively Inhibits Tumor Growth and Relapse. Angewandte Chemie International Edition. 59(34). 14628–14638. 51 indexed citations
8.
Jung, Wonsik, et al.. (2020). Nanoparticles Derived from the Natural Antioxidant Rosmarinic Acid Ameliorate Acute Inflammatory Bowel Disease. ACS Nano. 14(6). 6887–6896. 169 indexed citations
9.
Kim, Yujin, Sukmo Kang, Tae Woo Kim, et al.. (2020). Sequential and Timely Combination of a Cancer Nanovaccine with Immune Checkpoint Blockade Effectively Inhibits Tumor Growth and Relapse. Angewandte Chemie. 132(34). 14736–14746. 9 indexed citations
10.
Kim, Dae Jung, et al.. (2017). Increased glucose metabolism and alpha-glucosidase inhibition inCordyceps militariswater extract-treated HepG2 cells. Nutrition Research and Practice. 11(3). 180–180. 19 indexed citations
11.
Kang, Yun, et al.. (2015). A study of the lipoprotein lipase inhibitory mechanism ofPoncirus trifoliatawater extracts. Journal of Nutrition and Health. 48(1). 9–9. 2 indexed citations
12.
Kim, Tae Woo, et al.. (2013). Psychopathological Influence of Lumbar Disc Herniation in Male Adolescent. Yonsei Medical Journal. 54(4). 813–813. 11 indexed citations
13.
Kim, Kyoung Kon, Yun Kang, Dae Jung Kim, Tae Woo Kim, & Myeon Choe. (2013). Comparison of antioxidant, α-glucosidase inhibition and anti-inflammatory activities of the leaf and root extracts ofSmilax chinaL.. Journal of Nutrition and Health. 46(4). 315–315. 5 indexed citations
14.
Kang, Yun, et al.. (2013). Study on antioxidative, antidiabetic and antiobesity activity of solvent fractions ofsmilax chinaL. leaf extract. Journal of Nutrition and Health. 46(5). 401–401. 5 indexed citations
15.
16.
Kang, Tae Heung, Kyung Hee Noh, Jin Hee Kim, et al.. (2010). Ectopic Expression of X-Linked Lymphocyte-Regulated Protein pM1 Renders Tumor Cells Resistant to Antitumor Immunity. Cancer Research. 70(8). 3062–3070. 21 indexed citations
17.
Kim, Tae Woo, Chien‐Fu Hung, Meizi Zheng, et al.. (2004). A DNA Vaccine Co-Expressing Antigen and an Anti-Apoptotic Molecule Further Enhances the Antigen-Specific CD8+ T-Cell Immune Response. Journal of Biomedical Science. 11(4). 493–499. 2 indexed citations
18.
Kim, Tae Woo, et al.. (2004). Molecular Tripods Showing Fluorescence Enhancement upon Binding to Streptavidin. Organic Letters. 7(1). 111–114. 19 indexed citations
19.
Kim, Tae Woo, Chien‐Fu Hung, Morris Ling, et al.. (2003). Enhancing DNA vaccine potency by coadministration of DNA encoding antiapoptotic proteins. Journal of Clinical Investigation. 112(1). 109–117. 132 indexed citations
20.
Kim, Tae Woo, Chien‐Fu Hung, David A. Boyd, et al.. (2003). Enhancing DNA Vaccine Potency by Combining a Strategy to Prolong Dendritic Cell Life with Intracellular Targeting Strategies. The Journal of Immunology. 171(6). 2970–2976. 72 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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