Kim Han

1.1k total citations
29 papers, 713 citations indexed

About

Kim Han is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Kim Han has authored 29 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Kim Han's work include Autophagy in Disease and Therapy (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Kim Han is often cited by papers focused on Autophagy in Disease and Therapy (7 papers), Advanced biosensing and bioanalysis techniques (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Kim Han collaborates with scholars based in United States, South Korea and Japan. Kim Han's co-authors include Michael N. Sack, Iain Scott, Bradley R. Webster, Javier Traba, Komudi Singh, Carmen K. M. Chan, Rebecca D. Huffstutler, Kaiyuan Wu, Marjan Guček and Yong Chen and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Kim Han

28 papers receiving 701 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Han United States 12 360 226 190 87 76 29 713
Zhenyu Yan China 6 322 0.9× 375 1.7× 226 1.2× 30 0.3× 73 1.0× 31 851
Ye Zhu China 9 371 1.0× 410 1.8× 126 0.7× 22 0.3× 73 1.0× 15 804
Yonju Ha United States 20 542 1.5× 62 0.3× 92 0.5× 71 0.8× 30 0.4× 38 1.0k
Elvira Arza Spain 11 448 1.2× 101 0.4× 259 1.4× 68 0.8× 13 0.2× 18 757
Min‐Joon Han United States 10 484 1.3× 150 0.7× 253 1.3× 233 2.7× 19 0.3× 14 838
Tiejian Nie China 13 253 0.7× 134 0.6× 60 0.3× 22 0.3× 57 0.8× 18 466
Diána Papp Hungary 10 371 1.0× 148 0.7× 103 0.5× 22 0.3× 20 0.3× 11 700
Tomás Gutiérrez Chile 12 661 1.8× 199 0.9× 139 0.7× 20 0.2× 22 0.3× 15 920
Marit Wiersma Netherlands 13 336 0.9× 89 0.4× 92 0.5× 29 0.3× 45 0.6× 17 686
Cheng‐Liang Luo China 13 562 1.6× 255 1.1× 89 0.5× 15 0.2× 219 2.9× 20 900

Countries citing papers authored by Kim Han

Since Specialization
Citations

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

Fields of papers citing papers by Kim Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Han

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Han. A scholar is included among the top collaborators of Kim Han 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 Kim Han. Kim Han 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.
Han, Kim, Rahul Sharma, Komudi Singh, et al.. (2024). Propionate functions as a feeding state–dependent regulatory metabolite to counter proinflammatory signaling linked to nutrient load and obesity. Journal of Leukocyte Biology. 115(4). 738–749. 12 indexed citations
2.
Sharma, Rahul, Kaiyuan Wu, Kim Han, et al.. (2024). BLOC1S1 Control of Vacuolar Organelle Fidelity Modulates Murine T H 2 Cell Immunity and Allergy Susceptibility. Allergy. 80(8). 2128–2140. 4 indexed citations
3.
Han, Kim, et al.. (2022). Application of the Korean Framework of Wetland Management Effectiveness Evaluation. Wetlands. 42(3). 1 indexed citations
4.
Singh, Komudi, Yunching Chen, Shahin Hassanzadeh, et al.. (2021). Network Analysis and Transcriptome Profiling Identify Autophagic and Mitochondrial Dysfunctions in SARS-CoV-2 Infection. Frontiers in Genetics. 12. 599261–599261. 65 indexed citations
5.
Han, Kim, et al.. (2021). Reliability of non-destructive sonic tomography for detection of defects in oldZelkova serrata(Thunb.) Makino trees. Forest Science and Technology. 17(3). 110–118. 5 indexed citations
6.
Han, Kim, Komudi Singh, Shahin Hassanzadeh, et al.. (2021). Identification and Validation of Nutrient State-Dependent Serum Protein Mediators of Human CD4+ T Cell Responsiveness. Nutrients. 13(5). 1492–1492. 15 indexed citations
7.
Osawa, Takashi, et al.. (2018). Synthesis and hybridizing properties of isoDNAs including 3′-O,4′-C-ethyleneoxy-bridged 5-methyluridine derivatives. Bioorganic & Medicinal Chemistry. 26(14). 3875–3881. 3 indexed citations
8.
Han, Kim, Shahin Hassanzadeh, Komudi Singh, et al.. (2017). Parkin regulation of CHOP modulates susceptibility to cardiac endoplasmic reticulum stress. Scientific Reports. 7(1). 2093–2093. 36 indexed citations
9.
Wang, Lingdi, Iain Scott, Lu Zhu, et al.. (2017). GCN5L1 modulates cross-talk between mitochondria and cell signaling to regulate FoxO1 stability and gluconeogenesis. Nature Communications. 8(1). 523–523. 55 indexed citations
10.
Traba, Javier, Jessica Li, Rebecca D. Huffstutler, et al.. (2015). Fasting and refeeding differentially regulate NLRP3 inflammasome activation in human subjects. Journal of Clinical Investigation. 125(12). 4592–4600. 139 indexed citations
11.
Webster, Bradley R., Iain Scott, Javier Traba, Kim Han, & Michael N. Sack. (2014). Regulation of autophagy and mitophagy by nutrient availability and acetylation. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1841(4). 525–534. 57 indexed citations
12.
Webster, Bradley R., Iain Scott, Kim Han, et al.. (2013). Restricted mitochondrial protein acetylation initiates mitochondrial autophagy. Journal of Cell Science. 126(Pt 21). 4843–9. 86 indexed citations
13.
Scott, Iain, et al.. (2013). GCN5-like Protein 1 (GCN5L1) Controls Mitochondrial Content through Coordinated Regulation of Mitochondrial Biogenesis and Mitophagy. Journal of Biological Chemistry. 289(5). 2864–2872. 105 indexed citations
14.
Yoon, Nam Sik, et al.. (2009). The relationship between aortic distensibility and serologic markers of atherosclerosis. The Korean Journal of Internal Medicine. 77(1). 68–75. 1 indexed citations
15.
Kim, Kye Hun, et al.. (2008). Predictors of total occlusion of the infarct-related artery in patients with acute Non-ST elevation myocardial infarction. The Korean Journal of Internal Medicine. 74(3). 271–280. 7 indexed citations
16.
Kim, Kye Hun, et al.. (2006). The predictive factor of mortality and prognosis of cardiovascular patients admitted at coronary care unit. The Korean Journal of Internal Medicine. 70(4). 386–392. 1 indexed citations
17.
Han, Kim, et al.. (2003). 관상동맥 중재술을 시술받은 ST절 비상승 심근경색증 환자에서 Tirofiban과 저분자량 헤파린의 병합 효과. The Korean Journal of Internal Medicine. 65(5). 527–534. 1 indexed citations
18.
Han, Kim, et al.. (2000). Measuring Electromagnetic Fields. Epidemiology. 11(3). 359–360. 1 indexed citations
19.
Han, Kim, et al.. (2000). The Relative Merits of Contemporary Measurements and Historical Calculated Fields in the Swedish Childhood Cancer Study. Epidemiology. 11(3). 353–356. 8 indexed citations
20.

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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