Hyeong-Min Lee

2.0k citations
23 papers · 1.4k · h-index 15

Impact in

Papers in

Hyeong-Min Lee

21 papers receiving 1.4k citations

Peers

Hyeong-Min Lee
Comparison fields: 5 of 95
  • Endocrine and Autonomic Systems 546
  • Aging 127
  • Cellular and Molecular Neuroscience 290
  • Genetics 389
  • Cognitive Neuroscience 188
Replace Katja Vanselow with:
Katja Vanselow Germany
Krista Kaasik United States
Gareth Banks United Kingdom
Sofia I.H. Godinho United Kingdom
Yongli Shan United States
Aline Gréchez‐Cassiau France
Pascal Gos Switzerland
Shin-ichiro Kanno Japan
Shahaf Peleg Germany
Teruya Tamaru Japan
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Citations per field
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Citations per year

Countries citing papers authored by Hyeong-Min Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyeong-Min Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hyeong-Min Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hyeong-Min Lee Line = papers co-authored together Hyeong-Min Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011307
2 2009190
3 2009151
4 2011149
5 2012110
6 201698
7 201378
8 201168
9 201666
10 201639
11 201832
12 200632
13 202029
14 202228
15 202021
16 202413
17 202112
18 202210
19 20233
20 20243

About Hyeong-Min Lee

Hyeong-Min Lee is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Genetics, Plant Science and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (5 papers), Receptor Mechanisms and Signaling (4 papers), Genetic Syndromes and Imprinting (4 papers), Light effects on plants (3 papers), Plant Molecular Biology Research (3 papers), Epigenetics and DNA Methylation (3 papers), Single-cell and spatial transcriptomics (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (546 citations), Aging (127 citations), Cellular and Molecular Neuroscience (290 citations), Genetics (389 citations) and Cognitive Neuroscience (188 citations). Hyeong-Min Lee has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Rongmin Chen, Choogon Lee, Yongjin Lee, Bryan L. Roth, Yuna Kim, Noah Sciaky, Benjamin D. Philpot, Jian Jin, Seung‐Hee Yoo and Patrick M. Giguère. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research, Nature Communications, Bioprocess and Biosystems Engineering and Biochemical and Biophysical Research Communications.

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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