Young‐Bum Kim

21.1k total citations · 6 hit papers
216 papers, 15.9k citations indexed

About

Young‐Bum Kim is a scholar working on Molecular Biology, Physiology and Artificial Intelligence. According to data from OpenAlex, Young‐Bum Kim has authored 216 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 44 papers in Physiology and 33 papers in Artificial Intelligence. Recurrent topics in Young‐Bum Kim's work include Adipose Tissue and Metabolism (37 papers), Metabolism, Diabetes, and Cancer (36 papers) and Topic Modeling (29 papers). Young‐Bum Kim is often cited by papers focused on Adipose Tissue and Metabolism (37 papers), Metabolism, Diabetes, and Cancer (36 papers) and Topic Modeling (29 papers). Young‐Bum Kim collaborates with scholars based in United States, South Korea and Japan. Young‐Bum Kim's co-authors include Barbara B. Kahn, Odile D. Peroni, Yasuhiko Minokoshi, Gerald I. Shulman, Janice M. Zabolotny, Jason K. Kim, Benjamin G. Neel, Olivier Boss, Corinna Müller and David Carling and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Young‐Bum Kim

204 papers receiving 15.4k citations

Hit Papers

Leptin stimulates fatty-acid oxidation by activating AMP-... 2000 2026 2008 2017 2002 2004 2000 2001 2001 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Leptin stimulates fatty-acid oxidation by activating AMP-activated protein kinase
    2002 1.6k citations Young‐Bum Kim, Barbara B. Kahn et al. profile →
  2. AMP-kinase regulates food intake by responding to hormonal and nutrient signals in the hypothalamus
    2004 1.3k citations Young‐Bum Kim, Barbara B. Kahn et al. profile →
  3. Increased Energy Expenditure, Decreased Adiposity, and Tissue-Specific Insulin Sensitivity in Protein-Tyrosine Phosphatase 1B-Deficient Mice
    2000 1.1k citations Young‐Bum Kim, Gerald I. Shulman et al. profile →
  4. Adipose-selective targeting of the GLUT4 gene impairs insulin action in muscle and liver
    2001 968 citations Young‐Bum Kim, Gerald I. Shulman et al. profile →
  5. Uncoupling Protein-2 Negatively Regulates Insulin Secretion and Is a Major Link between Obesity, β Cell Dysfunction, and Type 2 Diabetes
    2001 773 citations Young‐Bum Kim, Gerald I. Shulman et al. profile →
  6. PTP1B Regulates Leptin Signal Transduction In Vivo
    2002 654 citations Young‐Bum Kim, Barbara B. Kahn et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Bum Kim United States 57 7.5k 5.9k 3.1k 3.1k 2.4k 216 15.9k
Antonio Vidal‐Puig United Kingdom 86 12.2k 1.6× 12.8k 2.2× 7.4k 2.4× 2.4k 0.8× 2.6k 1.1× 313 26.0k
Thomas Unger Germany 79 7.4k 1.0× 4.1k 0.7× 1.8k 0.6× 2.1k 0.7× 2.3k 1.0× 441 25.9k
Hong Chen China 47 5.2k 0.7× 5.9k 1.0× 7.0k 2.2× 1.0k 0.3× 1.5k 0.6× 320 17.1k
Jae Bum Kim South Korea 74 10.1k 1.3× 5.8k 1.0× 5.2k 1.7× 898 0.3× 4.1k 1.7× 255 20.6k
Lawrence Chan United States 73 8.5k 1.1× 3.2k 0.6× 3.7k 1.2× 963 0.3× 4.3k 1.8× 385 19.5k
Evan D. Rosen United States 56 13.1k 1.7× 11.5k 2.0× 7.4k 2.4× 1.2k 0.4× 1.9k 0.8× 106 25.1k
Michael Stümvoll Germany 87 9.8k 1.3× 11.9k 2.0× 9.3k 3.0× 3.0k 1.0× 4.6k 1.9× 582 32.0k
Hiroshi Kuriyama Japan 50 5.6k 0.7× 6.6k 1.1× 9.5k 3.0× 2.5k 0.8× 1.6k 0.7× 174 18.3k
Masataka Mori Japan 67 8.9k 1.2× 3.1k 0.5× 3.1k 1.0× 1.1k 0.4× 2.9k 1.2× 442 19.0k
Yang Yang China 73 9.7k 1.3× 2.2k 0.4× 2.2k 0.7× 1.3k 0.4× 1.8k 0.8× 595 19.4k

Countries citing papers authored by Young‐Bum Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Bum Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Bum Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Bum Kim. A scholar is included among the top collaborators of Young‐Bum 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 Young‐Bum Kim. Young‐Bum 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.
Choi, Hojung, Han‐Joo Maeng, Young‐Bum Kim, et al.. (2025). The dual targeting effects of KD025 on casein kinase 2 and ROCK2 in a mouse model of diet-induced obesity. Biochemical Pharmacology. 237. 116933–116933.
2.
Liu, Ying, Lu Zhang, Binrui Yang, et al.. (2024). Dietary Polyphenols as Anti-Aging Agents: Targeting the Hallmarks of Aging. Nutrients. 16(19). 3305–3305. 16 indexed citations
3.
Jeong, Hyun, Huitae Joo, Yeonjeong Koo, et al.. (2024). Large‐Area Bright Emission of Plasmon‐Coupled Dark Excitons at Room Temperature. Advanced Science. 12(3). e2411841–e2411841. 2 indexed citations
4.
Kim, Changhyeon, et al.. (2024). Towards Fully Integrated Autonomous Excavation: Autonomous Excavator for Precise Earth Cutting and Onboard Landscape Inspection. IEEE Robotics & Automation Magazine. 32(3). 88–102. 1 indexed citations
5.
Fu, YuHong, Russell Pickford, Jasmin Galper, et al.. (2024). A protective role of ABCA5 in response to elevated sphingomyelin levels in Parkinson’s disease. npj Parkinson s Disease. 10(1). 20–20. 9 indexed citations
6.
NamKoong, Cherl, Ji Hee Yu, Gil Myoung Kang, et al.. (2024). Stomach clusterin as a gut-derived feeding regulator. BMB Reports. 57(3). 149–154. 2 indexed citations
7.
Ryu, Huije, Kangwon Kim, Yangjin Lee, et al.. (2024). Optical grade transformation of monolayer transition metal dichalcogenides via encapsulation annealing. Nanoscale. 16(11). 5836–5844. 1 indexed citations
8.
Pittala, Srinivas, Dhanush Haspula, Yinghong Cui, et al.. (2024). G12/13-mediated signaling stimulates hepatic glucose production and has a major impact on whole body glucose homeostasis. Nature Communications. 15(1). 9996–9996. 3 indexed citations
9.
Lee, Yongjun, Shrawan Roy, Young‐Bum Kim, et al.. (2023). Synergetic Enhancement of Quantum Yield and Exciton Lifetime of Monolayer WS2 by Proximal Metal Plate and Negative Electric Bias. ACS Nano. 18(1). 220–228. 2 indexed citations
10.
Guo, Qianqian, Adebowale O. Bamidele, Anuradha Krishnan, et al.. (2023). Rho-associated protein kinase 1 inhibition in hepatocytes attenuates nonalcoholic steatohepatitis. Hepatology Communications. 7(6). 4 indexed citations
11.
Yang, Won‐Mo, et al.. (2022). ROCK1 regulates insulin secretion from β-cells. Molecular Metabolism. 66. 101625–101625. 2 indexed citations
12.
Fu, YuHong, Ying He, Katherine Phan, et al.. (2022). Sex-specific lipid dysregulation in the Abca7 knockout mouse brain. Brain Communications. 4(3). fcac120–fcac120. 5 indexed citations
13.
Ji, Eunji, Kyung‐Min Yang, Young‐Bum Kim, et al.. (2022). Exciton-dominant photoluminescence of MoS2 by a functionalized substrate. Nanoscale. 14(38). 14106–14112. 10 indexed citations
14.
Kim, Hong Il, Ji Seon Lee, Byung Kook Kwak, et al.. (2019). Metformin Ameliorates Lipotoxic β-Cell Dysfunction through a Concentration-Dependent Dual Mechanism of Action. Diabetes & Metabolism Journal. 43(6). 854–854. 17 indexed citations
15.
Üner, Aykut Göktürk, Paula G.F. Quaresma, Hyon Lee, et al.. (2019). Role of POMC and AgRP neuronal activities on glycaemia in mice. Scientific Reports. 9(1). 52 indexed citations
16.
Kim, Young‐Bum, et al.. (2019). Learning Context-dependent Label Permutations for Multi-label Classification. International Conference on Machine Learning. 4733–4742. 8 indexed citations
17.
Moon, Pyong-Gon, Jeong‐Eun Lee, Young-Eun Cho, et al.. (2015). Identification of Developmental Endothelial Locus-1 on Circulating Extracellular Vesicles as a Novel Biomarker for Early Breast Cancer Detection. Clinical Cancer Research. 22(7). 1757–1766. 168 indexed citations
18.
Lim, Soo, Ji Won Yoon, Sung Hee Choi, et al.. (2009). Combined Impact of Adiponectin and Retinol‐binding Protein 4 on Metabolic Syndrome in Elderly People: The Korean Longitudinal Study on Health and Aging. Obesity. 18(4). 826–832. 44 indexed citations
19.
Handschin, Christoph, Cheol Soo Choi, Sherry Chin, et al.. (2007). Abnormal glucose homeostasis in skeletal muscle–specific PGC-1α knockout mice reveals skeletal muscle–pancreatic β cell crosstalk. Journal of Clinical Investigation. 117(11). 3463–3474. 285 indexed citations
20.
Kim, Young‐Bum, Svetlana E. Nikoulina, Theodore P. Ciaraldi, Robert R. Henry, & Barbara B. Kahn. (1999). Normal insulin-dependent activation of Akt/protein kinase B, with diminished activation of phosphoinositide 3-kinase, in muscle in type 2 diabetes. Journal of Clinical Investigation. 104(6). 733–741. 365 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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