Jun‐Gyu Park

3.8k citations
89 papers · 2.0k · h-index 25

Impact in

Papers in

Jun‐Gyu Park

85 papers receiving 2.0k citations

Peers

Jun‐Gyu Park
Comparison fields: 5 of 122
  • Infectious Diseases 1.0k
  • Animal Science and Zoology 462
  • Cardiology and Cardiovascular Medicine 317
  • Polymers and Plastics 157
  • Hepatology 62
Replace Chengbao Wang with:
Chengbao Wang China
Yunzhi Zhang China
Shiqi Sun China
Michael Kulka United States
Matthew P. Taylor United States
Xueya Liang United States
James Chodosh United States
Yonglu Wang China
Takeshi Mikami Japan
Liangjun Chen China
Jun‐Gyu Park relative to Chengbao Wang China Chengbao Wang's profile →
Citations per field
00.5×3.2×
Chengbao Wang · 1×
Citations per year

Countries citing papers authored by Jun‐Gyu Park

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Gyu Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020171
2 2019170
3 202095
4 202088
5 202182
6 201873
7 201862
8 201157
9 202150
10 202049
11 201446
12 201246
13 202145
14 201842
15 201638
16 201838
17 202135
18 202233
19 201233
20 201130

About Jun‐Gyu Park

Jun‐Gyu Park is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Molecular Biology and Biomedical Engineering, having authored 89 papers that have together received 2.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (37 papers), Viral Infections and Immunology Research (23 papers), Animal Virus Infections Studies (19 papers), SARS-CoV-2 and COVID-19 Research (15 papers), Virus-based gene therapy research (10 papers), Congenital Anomalies and Fetal Surgery (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), Animal Science and Zoology (462 citations), Cardiology and Cardiovascular Medicine (317 citations), Polymers and Plastics (157 citations) and Hepatology (62 citations). Jun‐Gyu Park has collaborated with scholars based in South Korea, United States and Belgium. Frequent co-authors include Luis Martínez‐Sobrido, Taesung Kim, Kyoung‐Oh Cho, Qitao Zhou, Mun-Il Kang, Juyeol Bae, Mia Madel Alfajaro, Deok-Song Kim, Sang‐Ik Park and Chengjin Ye. Their work appears in journals such as Journal of Virology, Veterinary Microbiology, Journal of Visualized Experiments, Archives of Virology and Veterinary Research.

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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