Hojoong Kwak

5.2k citations
29 papers · 3.3k indexed · 3 hit papers · h-index 22
Topics
RNA Research and Splicing (20 papers)RNA and protein synthesis mechanisms (13 papers)RNA modifications and cancer (10 papers)

In The Last Decade

Hojoong Kwak

29 papers receiving 3.3k citations

Hit Papers

Precise Maps of RNA Polymerase Reveal How Promoters Direc...2013202620172021201320192014100200300400500

Peers

Hojoong Kwak
Comparison fields: 5 of 107
  • Molecular Biology 3.0k
  • Cancer Research 515
  • Plant Science 241
  • Genetics 189
  • Immunology 145
Replace Stephen M. Dilworth with:
Stephen M. Dilworth United Kingdom
Brian McStay Ireland
Kenneth Chang United States
Oliver Mühlemann Switzerland
G. Brett Robb United States
Kuo Ping Chiu Singapore
Therese A. Yario United States
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Jian‐Rong Yang China
Aleksandra Helwak United Kingdom
Hojoong Kwak relative to Stephen M. Dilworth United Kingdom Stephen M. Dilworth's profile →
Citations per field
00.5×8.3×
Stephen M. Dilworth · 1×
Citations per year

Countries citing papers authored by Hojoong Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Hojoong Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hojoong Kwak. 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 Hojoong Kwak. The network helps show where Hojoong Kwak may publish in the future.

Co-authorship network of co-authors of Hojoong Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Hojoong Kwak. A scholar is included among the top collaborators of Hojoong Kwak 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 Hojoong Kwak. Hojoong Kwak 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 3
2 5
3 47
4 28
5
m6A enhances the phase separation potential of mRNAbreakdown →
517
6 37
7 14
8 314
9 59
10 24
11 57
12 68
13 43
14
Precise Maps of RNA Polymerase Reveal How Promoters Direct Initiation and Pausingbreakdown →
554
15 84
16 189
17
Stability and safety study for establishing the shelf-life of anthrax-blackleg vaccine
1
18 14
19 86
20
A Model of Homogeneous Bubble Nucleation of CO Bubble in Fe-C-O Melts
1

About Hojoong Kwak

Hojoong Kwak is a scholar working on Cancer Research, Molecular Biology and Fluid Flow and Transfer Processes, having authored 29 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (20 papers), RNA and protein synthesis mechanisms (13 papers) and RNA modifications and cancer (10 papers). The work is most often cited by research in Molecular Biology (3.0k citations), Cancer Research (515 citations) and Aging (22 citations). Hojoong Kwak has collaborated with scholars based in United States, South Korea and Norway. Frequent co-authors include John T. Lis, Leighton J. Core, Iris H. Jonkers, Nicholas J. Fuda, Sim Namkoong, Jun Hee Lee, Pierre Klein, Sara Zaccara, Anthony O. Olarerin-George and Samie R. Jaffrey. Their work appears in journals such as Nature, Science 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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