Youngran Park

892 citations
31 papers · 684 · h-index 16

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • interferon and immune responses
  • Physiology top 10%
    • Asthma and respiratory diseases

Papers in

Youngran Park

28 papers receiving 669 citations

Peers

Youngran Park
Comparison fields: 5 of 85
  • Immunology 234
  • Physiology 28
  • Oncology 146
  • Cancer Research 67
  • Molecular Biology 313
Replace Guohua Lu with:
Guohua Lu China
Diana Saleiro United States
Venkatesh V. Nemmara United States
Sheri L. Bonar United States
Coral Ampurdanés Spain
Gang Nan China
Baptiste Panthu France
Youjun Xiao China
Bruce Jaffee United States
Youngran Park relative to Guohua Lu China Guohua Lu's profile →
Citations per field
00.5×3.5×
Guohua Lu · 1×
Citations per year

Countries citing papers authored by Youngran Park

Since Specialization
Citations

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

Fields of papers citing papers by Youngran Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021102
2 201999
3 200469
4 200863
5 200447
6 200444
7 200234
8 200426
9 201224
10 200424
11 201820
12 202118
13 200516
14 201516
15 201115
16 201515
17 201513
18 20207
19 20216
20 20135

About Youngran Park

Youngran Park is a scholar working on Molecular Biology, Immunology, Oncology, Cardiology and Cardiovascular Medicine and Physiology, having authored 31 papers that have together received 684 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), Galectins and Cancer Biology (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Cancer Mechanisms and Therapy (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Pediatric health and respiratory diseases (2 papers), interferon and immune responses (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology (234 citations), Physiology (28 citations), Oncology (146 citations), Cancer Research (67 citations) and Molecular Biology (313 citations). Youngran Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Soo‐Cheon Chae, Hun‐Taeg Chung, Seung Cheol Shim, Kyung‐Sik Yoon, Jae Hoon Lee, Yong‐Chul Lee, Jeesoo Kim, Jong‐Seo Kim, Young-Suk Lee and V. Narry Kim. Their work appears in journals such as Immunogenetics, Human Immunology, European Journal of Pharmacology, Oncology Reports and Indian Journal of Science and Technology.

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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