Myong‐Hee Sung

7.1k citations
66 papers · 5.0k indexed · 1 hit paper · h-index 35
Topics
Genomics and Chromatin Dynamics (30 papers)RNA Research and Splicing (20 papers)NF-κB Signaling Pathways (16 papers)

In The Last Decade

Myong‐Hee Sung

64 papers receiving 5.0k citations

Hit Papers

Chromatin accessibility pre-determines glucocorticoid rec...20112026201620212011200400600

Peers

Myong‐Hee Sung
Comparison fields: 5 of 124
  • Molecular Biology 3.6k
  • Immunology 1.0k
  • Genetics 898
  • Cancer Research 630
  • Oncology 501
Replace R. Louis Schiltz with:
R. Louis Schiltz United States
Rainer B. Lanz United States
David C. Hancock United Kingdom
John C. Chrivia United States
James R. Lundblad United States
Emery H. Bresnick United States
Jason Gertz United States
Wilbert Zwart Netherlands
Carsten Jonat United States
Mutsuhiro Takekawa Japan
Myong‐Hee Sung relative to R. Louis Schiltz United States R. Louis Schiltz's profile →
Citations per field
00.5×1.6×
R. Louis Schiltz · 1×
Citations per year

Countries citing papers authored by Myong‐Hee Sung

Since Specialization
Citations

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

Fields of papers citing papers by Myong‐Hee Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myong‐Hee Sung. 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 Myong‐Hee Sung. The network helps show where Myong‐Hee Sung may publish in the future.

Co-authorship network of co-authors of Myong‐Hee Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Myong‐Hee Sung. A scholar is included among the top collaborators of Myong‐Hee Sung 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 Myong‐Hee Sung. Myong‐Hee Sung 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 8
3 24
4 42
5 113
6 112
7 74
8 20
9 94
10 104
11 112
12 37
13 38
14 23
15 111
16 26
17 257
18 98
19 2
20 186

About Myong‐Hee Sung

Myong‐Hee Sung is a scholar working on Aging, Cancer Research and Immunology, having authored 66 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (30 papers), RNA Research and Splicing (20 papers) and NF-κB Signaling Pathways (16 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Immunology (1.0k citations) and Cancer Research (630 citations). Myong‐Hee Sung has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Gordon L. Hager, Sam John, Songjoon Baek, Thomas A. Johnson, J Stamatoyannopoulos, Simon C. Biddie, Robert E. Thurman, Peter J. Sabo, R. Louis Schiltz and Ty C. Voss. Their work appears in journals such as Cell, Nucleic Acids Research and Nature 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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