Heungwon Park

882 citations
23 papers · 610 · h-index 14

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA and protein synthesis mechanisms 5
    • Gene Regulatory Network Analysis 4
    • RNA modifications and cancer 3
    • Inertial Sensor and Navigation 6

Heungwon Park

23 papers receiving 595 citations

Peers

Heungwon Park
Comparison fields: 5 of 80
  • Condensed Matter Physics 185
  • Mathematical Physics 100
  • Statistical and Nonlinear Physics 94
  • Biophysics 43
  • Molecular Biology 306
Replace Bernardo A. Mello with:
Bernardo A. Mello Brazil
Andrea Rocco United Kingdom
Monica Skoge United States
Justin C. Tzou Canada
Carlos Escudero Spain
Neal S. Holter United States
Vivi Rottschäfer Netherlands
Irwin M. Zaid United Kingdom
Alan E. Lindsay United States
James W. Swift United States
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Citations per field
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Citations per year

Countries citing papers authored by Heungwon Park

Since Specialization
Citations

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

Fields of papers citing papers by Heungwon Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Heungwon 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 Heungwon Park Line = papers co-authored together Heungwon Park 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 2015116
2 200668
3 201056
4 199955
5 199547
6 199842
7 199541
8 201932
9 201726
10 200325
11 201119
12 202218
13 201418
14 199715
15 202211
16 20106
17 20145
18 20244
19 20252
20
PAPERS : Design of Zero - velocity Update Navigation Algorithm for Strapdown INS Using Kalman Filter
19911

About Heungwon Park

Heungwon Park is a scholar working on Molecular Biology, Aerospace Engineering, Statistical and Nonlinear Physics, Biomedical Engineering and Condensed Matter Physics, having authored 23 papers that have together received 610 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (6 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (5 papers), Gene Regulatory Network Analysis (4 papers), Bacterial Genetics and Biotechnology (3 papers), Theoretical and Computational Physics (3 papers), RNA modifications and cancer (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). The work is most often cited by research in Condensed Matter Physics (185 citations), Mathematical Physics (100 citations), Statistical and Nonlinear Physics (94 citations), Biophysics (43 citations) and Molecular Biology (306 citations). Heungwon Park has collaborated with scholars based in United States and South Korea. Frequent co-authors include Hyunggyu Park, Philippe Cluzel, Thierry Emonet, Arvind R. Subramaniam, Nicolas E. Buchler, Myeong‐Jong Yu, Shuqiang Huang, Lingchong You, Anand Pai and Yu Tanouchi. Their work appears in journals such as Nature, Nature Methods, Nature Communications, PLoS Genetics and Physica A Statistical Mechanics and its Applications.

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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