Hun‐Jun Park

3.3k citations
98 papers · 2.2k · h-index 24

Impact in

Papers in

Hun‐Jun Park

91 papers receiving 2.1k citations

Peers

Hun‐Jun Park
Comparison fields: 5 of 116
  • Biomaterials 362
  • Cardiology and Cardiovascular Medicine 398
  • Genetics 171
  • Surgery 678
  • Biomedical Engineering 558
Replace Meixiang Xiang with:
Meixiang Xiang China
Claudia Bearzi Italy
Jesper Hjortnaes Netherlands
Qi Jin China
Indranil Sinha United States
Andres Hilfiker Germany
Ingeborg Friehs United States
Fredrik Johansson United States
Mathias Wilhelmi Germany
Joost O. Fledderus Netherlands
Hun‐Jun Park relative to Meixiang Xiang China Meixiang Xiang's profile →
Citations per field
00.5×1.7×
Meixiang Xiang · 1×
Citations per year

Countries citing papers authored by Hun‐Jun Park

Since Specialization
Citations

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

Fields of papers citing papers by Hun‐Jun Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019168
2 2020149
3 2019122
4 2019121
5 2020110
6 201492
7 201872
8 201571
9 201870
10 202063
11 202159
12 202255
13 202250
14 202148
15 201346
16 202337
17 202034
18 201233
19 201131
20 202428

About Hun‐Jun Park

Hun‐Jun Park is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Biomaterials and Genetics, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (19 papers), Electrospun Nanofibers in Biomedical Applications (14 papers), Coronary Interventions and Diagnostics (11 papers), Mesenchymal stem cell research (8 papers), Pluripotent Stem Cells Research (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Cardiac Imaging and Diagnostics (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (6 papers). The work is most often cited by research in Biomaterials (362 citations), Cardiology and Cardiovascular Medicine (398 citations), Genetics (171 citations), Surgery (678 citations) and Biomedical Engineering (558 citations). Hun‐Jun Park has collaborated with scholars based in South Korea, Hong Kong and United States. Frequent co-authors include Kiwon Ban, Bong‐Woo Park, Hyeok Kim, Dong‐Woo Cho, Jinah Jang, Ki‐Bae Seung, Ji‐Won Hwang, Kiyuk Chang, Seok-Won Kim and Jae-Hyun Park. Their work appears in journals such as Coronary Artery Disease, Experimental & Molecular Medicine, International Journal of Cardiology, Circulation Journal and Cardiorenal Medicine.

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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