Ki-Up Lee

936 total citations
9 papers, 792 citations indexed

About

Ki-Up Lee is a scholar working on Molecular Biology, Surgery and Nephrology. According to data from OpenAlex, Ki-Up Lee has authored 9 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Nephrology. Recurrent topics in Ki-Up Lee's work include Biomarkers in Disease Mechanisms (2 papers), TGF-β signaling in diseases (2 papers) and Diet, Metabolism, and Disease (2 papers). Ki-Up Lee is often cited by papers focused on Biomarkers in Disease Mechanisms (2 papers), TGF-β signaling in diseases (2 papers) and Diet, Metabolism, and Disease (2 papers). Ki-Up Lee collaborates with scholars based in South Korea and United States. Ki-Up Lee's co-authors include Goo Taeg Oh, Eun Hee Koh, Hyoun Sik Kim, Joong‐Yeol Park, Jong Chul Won, Ki Sook Oh, Min Jae Jeon, Michung Yoon, Hye Sun Park and Min‐Seon Kim and has published in prestigious journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications and Journal of the American Society of Nephrology.

In The Last Decade

Ki-Up Lee

9 papers receiving 778 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ki-Up Lee South Korea	8	426	232	141	138	112	9	792
Chia-Yao Shen Taiwan	19	387 0.9×	124 0.5×	74 0.5×	123 0.9×	56 0.5×	39	836
Alois Sellmayer Germany	20	380 0.9×	168 0.7×	99 0.7×	48 0.3×	163 1.5×	34	1.1k
Minna Woo Canada	16	339 0.8×	232 1.0×	44 0.3×	225 1.6×	188 1.7×	32	910
JC Fruchart France	6	580 1.4×	165 0.7×	117 0.8×	144 1.0×	100 0.9×	9	896
Adriana Zuccollo Argentina	9	585 1.4×	376 1.6×	134 1.0×	203 1.5×	227 2.0×	15	1.3k
Harald Koefeler Austria	14	502 1.2×	383 1.7×	113 0.8×	345 2.5×	320 2.9×	21	1.3k
Naoichi Sato Japan	7	203 0.5×	198 0.9×	42 0.3×	142 1.0×	53 0.5×	11	625
Kazuo Fujisawa Japan	10	474 1.1×	300 1.3×	45 0.3×	153 1.1×	93 0.8×	12	925
Lianbo Wei China	15	340 0.8×	127 0.5×	72 0.5×	121 0.9×	55 0.5×	33	731
Yeshao Wen United States	11	296 0.7×	176 0.8×	91 0.6×	179 1.3×	88 0.8×	12	748

Countries citing papers authored by Ki-Up Lee

Since Specialization

Citations

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

Fields of papers citing papers by Ki-Up Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki-Up Lee. 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 Ki-Up Lee. The network helps show where Ki-Up Lee may publish in the future.

Co-authorship network of co-authors of Ki-Up Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ki-Up Lee. A scholar is included among the top collaborators of Ki-Up Lee 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 Ki-Up Lee. Ki-Up Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Baek, Ji Yeon, Ji Eun Yoon, Hyoun Sik Kim, et al.. (2019). Inhibition of Ceramide Accumulation in Podocytes by Myriocin Prevents Diabetic Nephropathy. Diabetes & Metabolism Journal. 44(4). 581–581. 40 indexed citations

2.

Jung, Gwon‐Soo, Mi-Kyung Kim, In-Sun Park, et al.. (2011). Clusterin Attenuates the Development of Renal Fibrosis. Journal of the American Society of Nephrology. 23(1). 73–85. 61 indexed citations

3.

Shim, Young‐Jun, Byeong Ho Kang, In-Sun Park, et al.. (2011). Clusterin induces matrix metalloproteinase-9 expression via ERK1/2 and PI3K/Akt/NF-κB pathways in monocytes/macrophages. Journal of Leukocyte Biology. 90(4). 761–769. 76 indexed citations

4.

Kim, Mi-Kyung, Seong Yeol Ryu, Yoon-Nyun Kim, et al.. (2010). Orphan nuclear receptor small heterodimer partner inhibits angiotensin II-stimulated PAI-1 expression in vascular smooth muscle cells. Experimental & Molecular Medicine. 42(1). 21–21. 6 indexed citations

5.

Kim, Woo Sik, Yun Sok Lee, Seung Hun, et al.. (2009). Berberine improves lipid dysregulation in obesity by controlling central and peripheral AMPK activity. American Journal of Physiology-Endocrinology and Metabolism. 296(4). E812–E819. 208 indexed citations

6.

Kim, Geun Hyang, So-Yeon Kim, Joong‐Yeol Park, et al.. (2006). Regulation of Insulin Secretion and β-Cell Mass by Activating Signal Cointegrator 2. Molecular and Cellular Biology. 26(12). 4553–4563. 19 indexed citations

7.

Lee, Woo Je, Mi‐Na Kim, Hye Sun Park, et al.. (2005). AMPK activation increases fatty acid oxidation in skeletal muscle by activating PPARα and PGC-1. Biochemical and Biophysical Research Communications. 340(1). 291–295. 353 indexed citations

8.

Kim, Chul‐Hee, et al.. (1998). Association of microalbuminuria and atherosclerotic risk factors in non-diabetic subjects in Korea. Diabetes Research and Clinical Practice. 40(3). 191–199. 21 indexed citations

9.

Lee, Ki-Up, et al.. (1995). Glomerular hyperfiltration in Koreans with non-insulin-dependent diabetes mellitus. American Journal of Kidney Diseases. 26(5). 722–726. 8 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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