Daechan Park

1.9k citations
33 papers · 979 indexed · h-index 17

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer

Papers in

Daechan Park

32 papers receiving 964 citations

Peers

Daechan Park
Comparison fields: 5 of 90
  • Immunology 246
  • Molecular Biology 602
  • Aging 13
  • Cancer Research 104
  • Oncology 152
Replace Gillian Borland with:
Gillian Borland United Kingdom
Matthew Lovatt Singapore
Tesa Severson Netherlands
Lei Bi China
Christina Chaivorapol United States
Poching Liu United States
Daguang Zhu United States
Biola M. Javierre Spain
Alexander Y. Lin United States
Christopher Roman United States
Daechan Park relative to Gillian Borland United Kingdom Gillian Borland's profile →
Citations per field
00.5×4.4×
Gillian Borland · 1×
Citations per year

Countries citing papers authored by Daechan Park

Since Specialization
Citations

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

Fields of papers citing papers by Daechan Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daechan Park, 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 Daechan Park Line = papers co-authored together Daechan Park links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016148
2 2016138
3 2013105
4 201475
5 201470
6 201960
7 201740
8 201937
9 201929
10 201628
11 201826
12 201924
13 201424
14 201823
15 201922
16 202020
17 202017
18 202214
19 201914
20 20209

About Daechan Park

Daechan Park is a scholar working on Aging, Cancer Research, Molecular Biology, Oncology and Immunology, having authored 33 papers that have together received 979 indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (5 papers), T-cell and B-cell Immunology (4 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Virus-based gene therapy research (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Immunology (246 citations), Molecular Biology (602 citations), Aging (13 citations), Cancer Research (104 citations) and Oncology (152 citations). Daechan Park has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Vishwanath R. Iyer, Yaelim Lee, Anna Battenhouse, George Georgiou, Adam R. Morris, Gregory C. Ippolito, Andrew D. Ellington, Daisuke Kuroda, E. L. Johnson and Oana I. Lungu. Their work appears in journals such as Nucleic Acids Research, Proceedings of the National Academy of Sciences, Nature Communications, Computational and Structural Biotechnology Journal and Scientific Reports.

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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