Hyeon‐Cheol Lee

1.4k citations
40 papers · 970 indexed · h-index 17
Topics
Lipid metabolism and biosynthesis (11 papers)Pancreatic function and diabetes (8 papers)Endoplasmic Reticulum Stress and Disease (5 papers)

In The Last Decade

Hyeon‐Cheol Lee

35 papers receiving 962 citations

Peers

Hyeon‐Cheol Lee
Comparison fields: 5 of 105
  • Molecular Biology 498
  • Biochemistry 241
  • Epidemiology 235
  • Cell Biology 157
  • Physiology 146
Replace Brenna Osborne with:
Brenna Osborne Australia
Stefania Scorzoni Austria
Edgar D. Yoboue France
Adam Kassan United States
Masato Yano Japan
Stéphane Duvezin‐Caubet France
Juan M. Esteve Spain
Jonathan A. Stefely United States
Oksana Apanasets Belgium
Dara E. Leto United States
Hyeon‐Cheol Lee relative to Brenna Osborne Australia Brenna Osborne's profile →
Citations per field
00.5×3.0×
Brenna Osborne · 1×
Citations per year

Countries citing papers authored by Hyeon‐Cheol Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyeon‐Cheol Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hyeon‐Cheol 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 Hyeon‐Cheol Lee. The network helps show where Hyeon‐Cheol Lee may publish in the future.

Co-authorship network of co-authors of Hyeon‐Cheol Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyeon‐Cheol Lee. A scholar is included among the top collaborators of Hyeon‐Cheol 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 Hyeon‐Cheol Lee. Hyeon‐Cheol Lee 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
#WorkIndexed citations
1 0
2 2
3 0
4 12
5 9
6 7
7 21
8 50
9 1
10 14
11 15
12 40
13 23
14 23
15 151
16 12
17 70
18
Measuring Robustness on Generalized Gaussian Distribution
2
19 117
20
The Effect of Nutritional Status and Inflammation on the Endothelial Dysfunction in Continuous Ambulatory Peritoneal Dialysis Patients
0

About Hyeon‐Cheol Lee

Hyeon‐Cheol Lee is a scholar working on Biochemistry, Aging and Statistics and Probability, having authored 40 papers that have together received 970 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (11 papers), Pancreatic function and diabetes (8 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Biochemistry (241 citations), Aging (30 citations) and Cell Biology (157 citations). Hyeon‐Cheol Lee has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Takehiko Yokomizo, Hiroyuki Arai, Nozomu Kono, Shohei Mitani, Keiko Gengyo‐Ando, Takao Inoue, Benjamin F. Cravatt, Shinji Matsuda, Gabriel M. Simon and Masaaki Komatsu. Their work appears in journals such as Nature Communications, Biochemistry and The FASEB Journal.

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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