Kyung‐Min Noh

6.6k citations
37 papers · 3.6k indexed · 3 hit papers · h-index 22
Topics
Genomics and Chromatin Dynamics (15 papers)Epigenetics and DNA Methylation (11 papers)CRISPR and Genetic Engineering (7 papers)

In The Last Decade

Kyung‐Min Noh

36 papers receiving 3.5k citations

Hit Papers

Daxx is an H3.3-specific histone chaperone and cooperates...2010202620152020201020192023200400600

Peers

Kyung‐Min Noh
Comparison fields: 5 of 119
  • Molecular Biology 2.5k
  • Cellular and Molecular Neuroscience 576
  • Genetics 378
  • Physiology 373
  • Nutrition and Dietetics 345
Replace Sebastian Munck with:
Sebastian Munck Belgium
Geoffrey Murdoch United States
Hsueh‐Cheng Chiang United States
Takumi Akagi Japan
Christoph Kaether Germany
Yvette C. Wong United States
Oksana Berezovska United States
Ikuko Yao Japan
Shinji Matsuda Japan
Eileen R. Mulvihill United States
Kyung‐Min Noh relative to Sebastian Munck Belgium Sebastian Munck's profile →
Citations per field
00.5×4.5×
Sebastian Munck · 1×
Citations per year

Countries citing papers authored by Kyung‐Min Noh

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Min Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Min Noh. 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 Kyung‐Min Noh. The network helps show where Kyung‐Min Noh may publish in the future.

Co-authorship network of co-authors of Kyung‐Min Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Min Noh. A scholar is included among the top collaborators of Kyung‐Min Noh 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 Kyung‐Min Noh. Kyung‐Min Noh 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 4
2 0
3 1
4 3
5
Direct observation of motor protein stepping in living cells using MINFLUXbreakdown →
94
6 19
7 5
8 6
9 35
10 12
11
The functional landscape of the human phosphoproteomebreakdown →
300
12 62
13 250
14 6
15 62
16 43
17 102
18 94
19 120
20 104

About Kyung‐Min Noh

Kyung‐Min Noh is a scholar working on Structural Biology, Developmental Neuroscience and Molecular Biology, having authored 37 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (15 papers), Epigenetics and DNA Methylation (11 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Molecular Biology (2.5k citations), Cellular and Molecular Neuroscience (576 citations) and Neurology (236 citations). Kyung‐Min Noh has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include C. David Allis, Jae‐Young Koh, Peter W. Lewis, Simon J. Elsaesser, Sonja C. Stadler, R. Suzanne Zukin, Ian Maze, Michael V. L. Bennett, Nichole Diaz and Alexey A. Soshnev. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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