Teayoun Kim

1.5k total citations
36 papers, 1.2k citations indexed

About

Teayoun Kim is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Teayoun Kim has authored 36 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 12 papers in Surgery and 12 papers in Physiology. Recurrent topics in Teayoun Kim's work include Adipose Tissue and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Pancreatic function and diabetes (8 papers). Teayoun Kim is often cited by papers focused on Adipose Tissue and Metabolism (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Pancreatic function and diabetes (8 papers). Teayoun Kim collaborates with scholars based in United States, Canada and Germany. Teayoun Kim's co-authors include Suresh T. Mathews, Bernhard Kaltenboeck, Xiaoming He, Jessica L. Davis, Qinglin Yang, Kirk M. Habegger, Qinqiang Long, Fred J. DeGraves, Éric Plaisance and Lan He and has published in prestigious journals such as Circulation, Nature Communications and Diabetes.

In The Last Decade

Teayoun Kim

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teayoun Kim United States 19 601 286 262 237 182 36 1.2k
Jing Yan China 23 1.1k 1.9× 215 0.8× 185 0.7× 159 0.7× 293 1.6× 124 2.0k
Axel Ring Germany 15 586 1.0× 203 0.7× 235 0.9× 79 0.3× 418 2.3× 17 1.4k
Amrisha Verma United States 23 879 1.5× 171 0.6× 104 0.4× 103 0.4× 102 0.6× 41 1.7k
Thomas Karrasch Germany 22 519 0.9× 266 0.9× 247 0.9× 46 0.2× 434 2.4× 77 1.5k
Sophie Fillon United States 26 812 1.4× 301 1.1× 620 2.4× 82 0.3× 232 1.3× 41 2.0k
Susana Novella Spain 26 579 1.0× 211 0.7× 101 0.4× 298 1.3× 83 0.5× 59 1.7k
Hua Liang China 20 618 1.0× 303 1.1× 291 1.1× 418 1.8× 443 2.4× 97 1.8k
Reini Hurme Finland 15 743 1.2× 142 0.5× 182 0.7× 147 0.6× 104 0.6× 22 1.2k
InSug O‐Sullivan United States 21 873 1.5× 199 0.7× 149 0.6× 108 0.5× 179 1.0× 50 1.7k
Philip Warburton United Kingdom 21 688 1.1× 74 0.3× 195 0.7× 86 0.4× 84 0.5× 42 1.3k

Countries citing papers authored by Teayoun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Teayoun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teayoun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Teayoun Kim. A scholar is included among the top collaborators of Teayoun 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 Teayoun Kim. Teayoun 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.
Roell, William C., Tamer Coşkun, Teayoun Kim, et al.. (2024). Characterization of LY3324954 a long-acting glucagon-receptor agonist. Molecular Metabolism. 91. 102073–102073. 2 indexed citations
2.
Mia, Sobuj, Ravi Sonkar, Mary N. Latimer, et al.. (2023). Novel Roles for the Transcriptional Repressor E4BP4 in Both Cardiac Physiology and Pathophysiology. JACC Basic to Translational Science. 8(9). 1141–1156. 10 indexed citations
3.
Kaur, Manpreet, Lixuan Tackett, Natalie D. Stull, et al.. (2023). An early, reversible cholesterolgenic etiology of diet-induced insulin resistance. Molecular Metabolism. 72. 101715–101715. 3 indexed citations
4.
Kim, Teayoun, Jodi R. Paul, Cassie Holleman, et al.. (2021). Glucagon-receptor signaling regulates weight loss via central KLB receptor complexes. JCI Insight. 6(4). 25 indexed citations
5.
Liu, Yanping, Teayoun Kim, Cheryl Cero, et al.. (2021). The transcriptional co-regulator LDB1 is required for brown adipose function. Molecular Metabolism. 53. 101284–101284. 2 indexed citations
6.
Qiao, Aijun, Junlan Zhou, Shiyue Xu, et al.. (2021). Sam68 promotes hepatic gluconeogenesis via CRTC2. Nature Communications. 12(1). 3340–3340. 23 indexed citations
7.
Ren, Guang, Teayoun Kim, Sushant Bhatnagar, et al.. (2020). Metformin reduces saturated fatty acid-induced lipid accumulation and inflammatory response by restoration of autophagic flux in endothelial cells. Scientific Reports. 10(1). 13523–13523. 46 indexed citations
9.
Pepin, Mark E., Lindsey E. Padgett, Ashley R. Burg, et al.. (2018). Antiretroviral therapy potentiates high-fat diet induced obesity and glucose intolerance. Molecular Metabolism. 12. 48–61. 18 indexed citations
10.
Magadum, Ajit, Lan He, Teayoun Kim, et al.. (2017). Live cell screening platform identifies PPARδ as a regulator of cardiomyocyte proliferation and cardiac repair. Cell Research. 27(8). 1002–1019. 65 indexed citations
11.
Kim, Teayoun, Cassie Holleman, Travis Ptacek, Casey D. Morrow, & Kirk M. Habegger. (2016). Duodenal endoluminal barrier sleeve alters gut microbiota of ZDF rats. International Journal of Obesity. 41(3). 381–389. 14 indexed citations
12.
Kim, Teayoun. (2014). Carnitine Palmitoyltransferase 1b Deficient Mice Develop Severe Insulin Resistance After Prolonged High Fat Diet Feeding. Journal of Diabetes & Metabolism. 5(7). 34 indexed citations
13.
Kim, Teayoun. (2013). Peroxisome-proliferator-activated receptors regulate redox signaling in the cardiovascular system. World Journal of Cardiology. 5(6). 164–164. 107 indexed citations
14.
Mathews, Suresh T., Éric Plaisance, & Teayoun Kim. (2009). Imaging Systems for Westerns: Chemiluminescence vs. Infrared Detection. Methods in molecular biology. 536. 499–513. 56 indexed citations
15.
Kim, Teayoun, et al.. (2009). Curcumin activates AMPK and suppresses gluconeogenic gene expression in hepatoma cells. Biochemical and Biophysical Research Communications. 388(2). 377–382. 152 indexed citations
16.
Plaisance, Eric P., et al.. (2009). Extended‐release niacin decreases serum fetuin‐A concentrations in individuals with metabolic syndrome. Diabetes/Metabolism Research and Reviews. 25(5). 427–434. 41 indexed citations
17.
Wang, Chengming, Frederik W. van Ginkel, Teayoun Kim, et al.. (2008). Temporal Delay of Peak T-Cell Immunity DeterminesChlamydia pneumoniaePulmonary Disease in Mice. Infection and Immunity. 76(11). 4913–4923. 6 indexed citations
18.
Kim, Teayoun, et al.. (2006). Rapid high-yield mRNA extraction for reverse-transcription PCR. Journal of Biochemical and Biophysical Methods. 70(3). 507–509. 9 indexed citations
19.
Li, Dan, A. Vaglenov, Teayoun Kim, et al.. (2006). Mouse model of respiratory Chlamydia pneumoniae infection for a genomic screen of subunit vaccine candidates. Vaccine. 24(15). 2917–2927. 13 indexed citations
20.
Li, Dan, et al.. (2004). High-yield culture and purification of Chlamydiaceae bacteria. Journal of Microbiological Methods. 61(1). 17–24. 25 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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