Yu-Mi Lim

1.1k total citations
27 papers, 842 citations indexed

About

Yu-Mi Lim is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Yu-Mi Lim has authored 27 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Yu-Mi Lim's work include Pancreatic function and diabetes (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). Yu-Mi Lim is often cited by papers focused on Pancreatic function and diabetes (6 papers), Antibiotic Resistance in Bacteria (4 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). Yu-Mi Lim collaborates with scholars based in South Korea, Canada and Australia. Yu-Mi Lim's co-authors include Myung‐Shik Lee, Jung Min Kim, Jinyoung Kim, Sunshin Kim, Wenying Quan, Song‐Yang Zhang, Seung Hoon Oh, Tony K.T. Lam, Kook Hwan Kim and Hwanju Cheon and has published in prestigious journals such as Journal of Clinical Investigation, Cell Metabolism and Gut.

In The Last Decade

Yu-Mi Lim

26 papers receiving 828 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Mi Lim South Korea 13 310 243 220 175 173 27 842
Mamta Kanwar United States 15 616 2.0× 91 0.4× 77 0.3× 164 0.9× 140 0.8× 20 1.4k
Bahia Djerdjouri Algeria 18 359 1.2× 88 0.4× 76 0.3× 92 0.5× 81 0.5× 37 792
Shoji Fujitani Japan 14 429 1.4× 114 0.5× 117 0.5× 199 1.1× 10 0.1× 20 812
Young Hun Kim South Korea 14 338 1.1× 86 0.4× 36 0.2× 51 0.3× 32 0.2× 21 730
Noam Bourquard United States 13 305 1.0× 61 0.3× 74 0.3× 54 0.3× 16 0.1× 15 903
Eider Larrarte Spain 15 171 0.6× 132 0.5× 29 0.1× 221 1.3× 27 0.2× 22 606
Dale Kunde Australia 16 610 2.0× 135 0.6× 138 0.6× 99 0.6× 42 0.2× 41 1.1k
Silvia Guzmán‐Beltrán Mexico 15 336 1.1× 147 0.6× 46 0.2× 59 0.3× 86 0.5× 39 729
Jimin Kim South Korea 14 284 0.9× 80 0.3× 57 0.3× 95 0.5× 25 0.1× 41 633

Countries citing papers authored by Yu-Mi Lim

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Mi Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Mi Lim. 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 Yu-Mi Lim. The network helps show where Yu-Mi Lim may publish in the future.

Co-authorship network of co-authors of Yu-Mi Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Mi Lim. A scholar is included among the top collaborators of Yu-Mi Lim 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 Yu-Mi Lim. Yu-Mi Lim 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.
Lee, Jinmi, Seok‐Woo Hong, Minjeong Kim, et al.. (2024). Sodium-glucose cotransporter 2 inhibitors ameliorate ER stress-induced pro-inflammatory cytokine expression by inhibiting CD36 in NAFLD progression in vitro. Biochemical and Biophysical Research Communications. 735. 150620–150620. 2 indexed citations
2.
Lee, Jinmi, Seok‐Woo Hong, Min-Jeong Kim, et al.. (2024). Inhibition of Sodium-Glucose Cotransporter-2 during Serum Deprivation Increases Hepatic Gluconeogenesis via the AMPK/AKT/FOXO Signaling Pathway. Endocrinology and Metabolism. 39(1). 98–108. 2 indexed citations
3.
Lim, Yu-Mi, et al.. (2024). Small intestinal CaSR-dependent and CaSR-independent protein sensing regulates feeding and glucose tolerance in rats. Nature Metabolism. 6(1). 39–49. 8 indexed citations
4.
Zhang, Song‐Yang, et al.. (2023). Metformin triggers a kidney GDF15-dependent area postrema axis to regulate food intake and body weight. Cell Metabolism. 35(5). 875–886.e5. 43 indexed citations
5.
Lee, Seul Gi, et al.. (2022). Bioconverted Fruit Extract of Akebia Quinata Exhibits Anti-Obesity Effects in High-Fat Diet-Induced Obese Rats. Nutrients. 14(21). 4683–4683. 4 indexed citations
6.
Lim, Yu-Mi, et al.. (2021). Influence of Health Promotion Behavior and Perceived Health Status on the Health-related Quality of Life of Industrial Employees. Journal of Korean Public Health Nursing. 35(1). 165–178. 1 indexed citations
7.
Kim, Jinyoung, Seong‐Hun Kim, Hyereen Kang, et al.. (2021). TFEB–GDF15 axis protects against obesity and insulin resistance as a lysosomal stress response. Nature Metabolism. 3(3). 410–427. 53 indexed citations
8.
Batchuluun, Battsetseg, Song‐Yang Zhang, Mona A. Abraham, et al.. (2021). Nutrient infusion in the dorsal vagal complex controls hepatic lipid and glucose metabolism in rats. iScience. 24(4). 102366–102366. 5 indexed citations
9.
Waise, T.M. Zaved, et al.. (2020). Small intestinal taurochenodeoxycholic acid-FXR axis alters local nutrient-sensing glucoregulatory pathways in rats. Molecular Metabolism. 44. 101132–101132. 21 indexed citations
10.
Zhang, Song‐Yang, Yu-Mi Lim, Battsetseg Batchuluun, et al.. (2020). FXR in the dorsal vagal complex is sufficient and necessary for upper small intestinal microbiome-mediated changes of TCDCA to alter insulin action in rats. Gut. 70(9). 1675–1683. 45 indexed citations
11.
Kim, Mina, Han-Saem Lee, Jeong‐Eun Park, et al.. (2019). Bioconversion ofGentiana scabraBunge increases the anti-inflammatory effect in RAW 264.7 cells via MAP kinases and NF-κB pathway. Journal of Applied Biological Chemistry. 62(1). 39–50. 3 indexed citations
12.
Kim, Jinyoung, Hwanju Cheon, Yeon Taek Jeong, et al.. (2014). Amyloidogenic peptide oligomer accumulation in autophagy-deficient β cells induces diabetes. Journal of Clinical Investigation. 124(8). 3311–3324. 135 indexed citations
13.
Jeon, Kilsoo, Hyejin Lim, Jung‐Hyun Kim, et al.. (2012). Differentiation and Transplantation of Functional Pancreatic Beta Cells Generated from Induced Pluripotent Stem Cells Derived from a Type 1 Diabetes Mouse Model. Stem Cells and Development. 21(14). 2642–2655. 65 indexed citations
14.
Han, Myoung Sook, Yu-Mi Lim, Wenying Quan, et al.. (2011). Lysophosphatidylcholine as an effector of fatty acid-induced insulin resistance. Journal of Lipid Research. 52(6). 1234–1246. 115 indexed citations
15.
Lim, Yu-Mi, et al.. (2010). Study on Accumulation of Ni in Seedlings and Growth rate of Salix reichardtii by Hydroponic Culture in Ni Solution. Journal of Korean Society of Forest Science. 99(3). 292–297. 1 indexed citations
16.
Cho, Jae Min, Hye Won Jang, Hwanju Cheon, et al.. (2010). A novel dipeptidyl peptidase IV inhibitor DA-1229 ameliorates streptozotocin-induced diabetes by increasing β-cell replication and neogenesis. Diabetes Research and Clinical Practice. 91(1). 72–79. 44 indexed citations
17.
Lim, Yu-Mi, Taesaeng Choi, & Jungmin Kim. (2006). Determination of Genomospecies and Characterization of Antimicrobial Resistance of Multi-drug ResistantAcinetobacterspp. Isolates. Journal of Bacteriology and Virology. 36(1). 21–21. 3 indexed citations
18.
19.
20.
Lim, Yu-Mi, et al.. (1998). Polyclonal Antibody Against the Active Recombinant Helicobacter pylori Urease Expressed in Escherichia coli. BMB Reports. 31(3). 240–244. 1 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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