Jae‐Beom Kim

2.4k total citations
46 papers, 1.9k citations indexed

About

Jae‐Beom Kim is a scholar working on Computer Networks and Communications, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jae‐Beom Kim has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 12 papers in Molecular Biology and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Jae‐Beom Kim's work include Mobile Ad Hoc Networks (9 papers), Wireless Networks and Protocols (7 papers) and Opportunistic and Delay-Tolerant Networks (7 papers). Jae‐Beom Kim is often cited by papers focused on Mobile Ad Hoc Networks (9 papers), Wireless Networks and Protocols (7 papers) and Opportunistic and Delay-Tolerant Networks (7 papers). Jae‐Beom Kim collaborates with scholars based in South Korea, United States and Qatar. Jae‐Beom Kim's co-authors include Jill A. Helms, Philipp Leucht, Cynthia A. Luppen, Young‐Bae Ko, Ching‐Cheng Chen, Jennifer A. Currey, Charles K. F. Chan, Calvin J. Kuo, John Brunski and Kevin Wei and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jae‐Beom Kim

45 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae‐Beom Kim South Korea 21 795 396 258 225 208 46 1.9k
Paola Russo Italy 27 1.2k 1.6× 242 0.6× 418 1.6× 336 1.5× 142 0.7× 155 2.5k
Chris Mason United Kingdom 26 844 1.1× 664 1.7× 266 1.0× 124 0.6× 461 2.2× 87 2.2k
Ingmar Glauche Germany 24 878 1.1× 135 0.3× 399 1.5× 243 1.1× 100 0.5× 85 2.0k
Martin Breitbach Germany 17 1.1k 1.4× 228 0.6× 871 3.4× 155 0.7× 1.2k 5.9× 36 2.6k
Rama Murthy Garimella India 16 431 0.5× 151 0.4× 97 0.4× 162 0.7× 70 0.3× 53 1.1k
Mary Jo Doherty United Kingdom 15 451 0.6× 266 0.7× 447 1.7× 171 0.8× 324 1.6× 18 1.4k
Jingcheng Wang United States 32 1.3k 1.6× 247 0.6× 497 1.9× 2.1k 9.4× 293 1.4× 67 4.8k
Massimo D’Apuzzo United States 23 743 0.9× 608 1.5× 564 2.2× 1.8k 8.0× 115 0.6× 73 3.3k
Frank Berger Germany 26 921 1.2× 250 0.6× 122 0.5× 711 3.2× 211 1.0× 134 2.6k
Tetsuya NISHIMOTO Japan 23 1.4k 1.7× 89 0.2× 44 0.2× 198 0.9× 93 0.4× 89 2.4k

Countries citing papers authored by Jae‐Beom Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Beom Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jae‐Beom Kim. A scholar is included among the top collaborators of Jae‐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 Jae‐Beom Kim. Jae‐Beom 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.
Kim, Jae‐Beom, Young Suk Yu, Taichi Noda, et al.. (2024). USF2 and TFEB compete in regulating lysosomal and autophagy genes. Nature Communications. 15(1). 8334–8334. 12 indexed citations
2.
Lee, Hyunseung & Jae‐Beom Kim. (2023). Case study on mitigating hallucinations in generative AI for game content generation. Journal of Korea Game Society. 23(5). 121–129. 1 indexed citations
3.
Kim, Jae‐Beom, et al.. (2021). Objective-lens-free confocal endomicroscope using Lissajous scanning lensed-fiber. 1(3). 6 indexed citations
4.
Hwang, Kyungmin, Jinhyo Ahn, Yeong‐Hyeon Seo, et al.. (2019). Lissajous Scanning Two-photon Endomicroscope for In vivo Tissue Imaging. Scientific Reports. 9(1). 3560–3560. 44 indexed citations
5.
Mir, Zeeshan Hameed, Young‐Bae Ko, Fethi Filali, & Jae‐Beom Kim. (2018). Infrastructure-assisted joint power adaptation and routing for heterogeneous vehicular networks. Computers & Electrical Engineering. 73. 304–320. 5 indexed citations
6.
Kim, Jae‐Beom, et al.. (2014). Developing a cost-effective OpenFlow testbed for small-scale Software Defined Networking. 29. 758–761. 30 indexed citations
7.
Kim, Jae‐Beom, et al.. (2012). Improving the reliability of IEEE 802.11s based wireless mesh networks for smart grid systems. Journal of Communications and Networks. 14(6). 629–639. 59 indexed citations
8.
Hod, Eldad A., Fabio Stellari, Jae‐Beom Kim, et al.. (2011). Imaging Pulmonary NF-kappaB Activation and Therapeutic Effects of MLN120B and TDZD-8. PLoS ONE. 6(9). e25093–e25093. 14 indexed citations
9.
Kim, Jae‐Beom, et al.. (2010). β1 Integrins Mediate Mechanosensitive Signaling Pathways in Osteocytes. Calcified Tissue International. 86(4). 325–332. 76 indexed citations
10.
Kim, Jae‐Beom, Edward Cochran, Stephen Lee, et al.. (2010). Non-Invasive Detection of a Small Number of Bioluminescent Cancer Cells In Vivo. PLoS ONE. 5(2). e9364–e9364. 128 indexed citations
11.
Morrell, Nathan T., Philipp Leucht, Ludan Zhao, et al.. (2008). Liposomal Packaging Generates Wnt Protein with In Vivo Biological Activity. PLoS ONE. 3(8). e2930–e2930. 61 indexed citations
12.
Leucht, Philipp, Jae‐Beom Kim, & Jill A. Helms. (2008). Beta-Catenin-Dependent Wnt Signaling in Mandibular Bone Regeneration. Journal of Bone and Joint Surgery. 90(Supplement_1). 3–8. 46 indexed citations
13.
Kim, Jae‐Beom, Philipp Leucht, Nathan T. Morrell, H. A. Schwettman, & Jill A. Helms. (2007). Visualizingin vivoliposomal drug delivery in real-time. Journal of drug targeting. 15(9). 632–639. 4 indexed citations
14.
Leucht, Philipp, Jae‐Beom Kim, Jennifer A. Currey, John Brunski, & Jill A. Helms. (2007). FAK-Mediated Mechanotransduction in Skeletal Regeneration. PLoS ONE. 2(4). e390–e390. 63 indexed citations
15.
Kim, Jae‐Beom, Philipp Leucht, Cynthia A. Luppen, et al.. (2007). Reconciling the roles of FAK in osteoblast differentiation, osteoclast remodeling, and bone regeneration. Bone. 41(1). 39–51. 92 indexed citations
16.
Wan, Derrick C., Jason H. Pomerantz, Lisa J. Brunet, et al.. (2007). Noggin Suppression Enhances in Vitro Osteogenesis and Accelerates in Vivo Bone Formation. Journal of Biological Chemistry. 282(36). 26450–26459. 133 indexed citations
17.
Leucht, Philipp, Kentson Lam, Jae‐Beom Kim, et al.. (2007). Accelerated Bone Repair After Plasma Laser Corticotomies. Annals of Surgery. 246(1). 140–150. 30 indexed citations
18.
Kim, Jae‐Beom, Philipp Leucht, Kentson Lam, et al.. (2007). Bone Regeneration Is Regulated by Wnt Signaling. Journal of Bone and Mineral Research. 22(12). 1913–1923. 195 indexed citations
19.
Leucht, Philipp, Jae‐Beom Kim, Rima Wazen, et al.. (2006). Effect of mechanical stimuli on skeletal regeneration around implants. Bone. 40(4). 919–930. 137 indexed citations
20.
Kim, Yun-Bae, Jae‐Beom Kim, & Heesang Lee. (2001). Forecasting of IMT-2000 Market Size using Modified Multi-generation Lotka-Volterra Model. IE interfaces. 14(1). 54–58. 2 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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