Eun‐Sil Park

1.6k citations
63 papers · 794 indexed · h-index 16

Impact in

Papers in

    • Viral Infections and Vectors 13
    • Viral Infections and Outbreaks Research 6
    • SARS-CoV-2 and COVID-19 Research 4

Eun‐Sil Park

53 papers receiving 778 citations

Peers

Eun‐Sil Park
Comparison fields: 5 of 94
  • Reproductive Medicine 88
  • Infectious Diseases 168
  • Animal Science and Zoology 89
  • Public Health, Environmental and Occupational Health 230
  • Virology 31
Replace Jae Gyu Yoo with:
Jae Gyu Yoo South Korea
Yepin Yu China
Ran Chen China
Leilei Yang China
Min‐Hsuan Lin Australia
Katalin Kiss Hungary
Zuzanna Nowak Poland
Carol Crowther South Africa
Lingkai Zhang China
Eun‐Sil Park relative to Jae Gyu Yoo South Korea Jae Gyu Yoo's profile →
Citations per field
00.5×3.1×
Jae Gyu Yoo · 1×
Citations per year

Countries citing papers authored by Eun‐Sil Park

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Sil Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 202210
5 20227
6 202113
7 201855
8 201825
9 201715
10 201733
11 20165
12 20162
13 20159
14 20153
15 201430
16 201362
17 20107
18 200922
19
Helicobacter pylori Urease Induces Mouse Death
20058
20 20052

About Eun‐Sil Park

Eun‐Sil Park is a scholar working on Infectious Diseases, Virology, Animal Science and Zoology, Reproductive Medicine and Ecology, Evolution, Behavior and Systematics, having authored 63 papers that have together received 794 indexed citations. Recurring topics across this work include Viral Infections and Vectors (13 papers), Reproductive Biology and Fertility (8 papers), Animal Virus Infections Studies (8 papers), Vector-Borne Animal Diseases (8 papers), Virology and Viral Diseases (6 papers), Viral Infections and Outbreaks Research (6 papers), Virus-based gene therapy research (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Reproductive Medicine (88 citations), Infectious Diseases (168 citations), Animal Science and Zoology (89 citations), Public Health, Environmental and Occupational Health (230 citations) and Virology (31 citations). Eun‐Sil Park has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Jonathan L. Tilly, Dori C. Woods, Misung Jo, Shigeru Morikawa, Sung‐Eun Lee, Dongxi Xiang, Zhe Li, Ying Xie, Thomas E. Curry and Masanobu Kimura. Their work appears in journals such as Scientific Reports, Journal of Nanoscience and Nanotechnology, Archives of Virology, Emerging infectious diseases and Viruses.

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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