Hee Won Park

970 citations
26 papers · 766 · h-index 12

Impact in

Papers in

    • RNA Interference and Gene Delivery 8
    • Advanced biosensing and bioanalysis techniques 2
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3

Hee Won Park

25 papers receiving 726 citations

Peers

Hee Won Park
Comparison fields: 5 of 93
  • Cancer Research 164
  • Biochemistry 48
  • Neurology 51
  • Molecular Biology 389
  • Global and Planetary Change 90
Replace Tingting Zhou with:
Tingting Zhou China
Félix A. Urra Chile
Burkhard Haefner Belgium
Mario Fiore Italy
H Fukazawa Japan
Roberta Meschini Italy
Stefka Stoyanova Bulgaria
Steven P. Donald United States
Hee Won Park relative to Tingting Zhou China Tingting Zhou's profile →
Citations per field
00.5×4.4×
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Citations per year

Countries citing papers authored by Hee Won Park

Since Specialization
Citations

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

Fields of papers citing papers by Hee Won Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 2009130
3 2010104
4 200868
5 200448
6 201743
7 201543
8 200939
9 202328
10 202318
11 202315
12 201813
13 201311
14 202411
15 20119
16 20236
17 20245
18 20224
19 20243
20 20133

About Hee Won Park

Hee Won Park is a scholar working on Molecular Biology, Immunology, Global and Planetary Change, Oncology and Organic Chemistry, having authored 26 papers that have together received 766 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Marine and fisheries research (6 papers), Marine Bivalve and Aquaculture Studies (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Fish Ecology and Management Studies (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (164 citations), Biochemistry (48 citations), Neurology (51 citations), Molecular Biology (389 citations) and Global and Planetary Change (90 citations). Hee Won Park has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Trishna Debnath, Narayan Chandra Deb Nath, Pyo‐Jam Park, Beong Ou Lim, Henrike Veith, Matthew G. Vander Heiden, Jian‐kang Jiang, Douglas S. Auld, Lewis C. Cantley and Craig J. Thomas. Their work appears in journals such as Journal of Biological Chemistry, Fisheries Research, Biomacromolecules, Small and International Journal of Biological Macromolecules.

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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