Tae‐Beom Kim

1.3k total citations
19 papers, 249 citations indexed

About

Tae‐Beom Kim is a scholar working on Pulmonary and Respiratory Medicine, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Tae‐Beom Kim has authored 19 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Artificial Intelligence and 3 papers in Computational Theory and Mathematics. Recurrent topics in Tae‐Beom Kim's work include Advanced Mathematical Modeling in Engineering (3 papers), Nonlinear Partial Differential Equations (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Tae‐Beom Kim is often cited by papers focused on Advanced Mathematical Modeling in Engineering (3 papers), Nonlinear Partial Differential Equations (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Tae‐Beom Kim collaborates with scholars based in United States, South Korea and Spain. Tae‐Beom Kim's co-authors include Heejo Lee, Hongzhe Li, Robert J. Lee, Ryan M. Carey, Kevin T. Nead, Hyunchul Jung, Ken Chen, Haemin Park, Asif Rashid and Cathy Eng and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Tae‐Beom Kim

16 papers receiving 244 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‐Beom Kim United States 11 54 48 46 45 39 19 249
Jaewoo Park South Korea 10 73 1.4× 10 0.2× 19 0.4× 59 1.3× 60 1.5× 34 318
Nan Sha China 11 57 1.1× 8 0.2× 15 0.3× 79 1.8× 91 2.3× 62 386
Haibin Chen China 14 30 0.6× 5 0.1× 7 0.2× 20 0.4× 5 0.1× 43 471
Ruiqing Liu China 10 50 0.9× 9 0.2× 4 0.1× 36 0.8× 9 0.2× 45 344
Terence H Wong United Kingdom 8 15 0.3× 43 0.9× 1 0.0× 64 1.4× 12 0.3× 12 335
Omar Hamdan Jordan 11 41 0.8× 4 0.1× 7 0.2× 62 1.4× 20 0.5× 24 260
Jan G. Bazan Poland 9 13 0.2× 4 0.1× 16 0.3× 27 0.6× 9 0.2× 41 247
Frank Meineke Germany 7 12 0.2× 9 0.2× 2 0.0× 127 2.8× 6 0.2× 21 340
Chenhao Hu China 12 97 1.8× 3 0.1× 27 0.6× 83 1.8× 3 0.1× 59 444
Jonathan Weese United States 11 40 0.7× 3 0.1× 8 0.2× 46 1.0× 13 0.3× 21 756

Countries citing papers authored by Tae‐Beom Kim

Since Specialization
Citations

This map shows the geographic impact of Tae‐Beom 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‐Beom 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‐Beom Kim more than expected).

Fields of papers citing papers by Tae‐Beom Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae‐Beom Kim

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

All Works

19 of 19 papers shown
1.
Nead, Kevin T., Tae‐Beom Kim, Jing Zhao, et al.. (2024). Impact of cancer therapy on clonal hematopoiesis mutations and subsequent clinical outcomes. Blood Advances. 8(19). 5215–5224. 9 indexed citations
2.
Kim, Tae‐Beom, et al.. (2023). Lidocaine induces apoptosis in head and neck squamous cell carcinoma through activation of bitter taste receptor T2R14. Cell Reports. 42(12). 113437–113437. 17 indexed citations
3.
Carey, Ryan M., Tae‐Beom Kim, Noam A. Cohen, Robert J. Lee, & Kevin T. Nead. (2022). Impact of sweet, umami, and bitter taste receptor (TAS1R and TAS2R) genomic and expression alterations in solid tumors on survival. Scientific Reports. 12(1). 8937–8937. 16 indexed citations
4.
Akçakanat, Argun, Xiaofeng Zheng, Tae‐Beom Kim, et al.. (2021). Genomic, Transcriptomic, and Proteomic Profiling of Metastatic Breast Cancer. Clinical Cancer Research. 27(11). 3243–3252. 17 indexed citations
5.
Carey, Ryan M., Derek B. McMahon, Tae‐Beom Kim, et al.. (2021). T2R bitter taste receptors regulate apoptosis and may be associated with survival in head and neck squamous cell carcinoma. Molecular Oncology. 16(7). 1474–1492. 22 indexed citations
6.
Meric‐Bernstam, Funda, Vijaykumar Holla, Tae‐Beom Kim, et al.. (2020). Clinical outcome for gastrointestinal cancers with polymerase epsilon mutations treated with immunotherapy.. Journal of Clinical Oncology. 38(4_suppl). 828–828.
7.
Labrie, Marilyne, Zhenlin Ju, Jennifer K. Litton, et al.. (2019). Abstract 2070: Exploration of markers of synergistic lethality of PARP and PI3K-Akt-mTOR inhibitors in women's cancers. Cancer Research. 79(13_Supplement). 2070–2070. 3 indexed citations
8.
Morris, Van K., Xiayu Rao, Curtis R. Pickering, et al.. (2017). Comprehensive Genomic Profiling of Metastatic Squamous Cell Carcinoma of the Anal Canal. Molecular Cancer Research. 15(11). 1542–1550. 50 indexed citations
9.
Kim, Tae‐Beom, et al.. (2017). Packer Detection for Multi-Layer Executables Using Entropy Analysis. Entropy. 19(3). 125–125. 19 indexed citations
10.
Kim, Tae‐Beom & Peng Wei. (2016). Incorporating ENCODE information into association analysis of whole genome sequencing data. BMC Proceedings. 10(S7). 257–261. 9 indexed citations
11.
Kim, Tae‐Beom, et al.. (2014). Second to fourth digit ratio: a predictor of adult lung function. Asian Journal of Andrology. 16(1). 140–140. 13 indexed citations
12.
Li, Hongzhe, et al.. (2013). Software Vulnerability Detection Using Backward Trace Analysis and Symbolic Execution. 446–454. 19 indexed citations
13.
Kim, Tae‐Beom, et al.. (2013). Dynamic classification of packing algorithms for inspecting executables using entropy analysis. 19–26. 12 indexed citations
14.
Kim, Tae‐Beom, Haemin Park, Hyunchul Jung, & Heejo Lee. (2012). Online Detection of Fake Access Points Using Received Signal Strengths. 1–5. 22 indexed citations
15.
Kim, Tae‐Beom, et al.. (2011). Clinical and urodynamic effect of methylphenidate for the treatment of giggle incontinence (enuresis risoria). Neurourology and Urodynamics. 30(7). 1338–1342. 16 indexed citations
16.
Díaz, Jesús Ildefonso Díaz, Roland Glowinski, Giovanna Guidoboni, & Tae‐Beom Kim. (2010). Qualitative properties and approximation of solutions of Bingham flows: On the stabilization for large time and the geometry of the support. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 104(1). 153–196.
17.
Kim, Tae‐Beom, Sunčica Čanić, & Giovanna Guidoboni. (2010). Existence and uniqueness of a solutionto a three-dimensional axially symmetric Biot problem arising inmodeling blood flow. Communications on Pure & Applied Analysis. 9(4). 839–865. 2 indexed citations
18.
Díaz, Jesús Ildefonso Díaz, Roland Glowinski, Giovanna Guidoboni, & Tae‐Beom Kim. (2010). Qualitative properties and approximation of solutions of Bingham flows: On the stabilization for large time and the geometry of the support. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 104(1). 153–196. 3 indexed citations
19.
Kim, Tae‐Beom, et al.. (2009). A depth-integrated numerical model considering the secondary flows in the channel bend. 555–559.

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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