Youngran Park

877 citations
31 papers · 658 · h-index 15

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • interferon and immune responses
    • Peptidase Inhibition and Analysis

Papers in

    • Natural product bioactivities and synthesis 3
    • Signaling Pathways in Disease 2
    • Galectins and Cancer Biology 3
    • IL-33, ST2, and ILC Pathways 3

Youngran Park

28 papers receiving 645 citations

Peers

Youngran Park
Comparison fields: 5 of 87
  • Immunology 245
  • Oncology 169
  • Physiology 27
  • Cancer Research 75
  • Molecular Biology 331
Replace Hsin‐Yi Tseng with:
Hsin‐Yi Tseng Australia
Coral Ampurdanés Spain
Diana Saleiro United States
Sheri L. Bonar United States
Christa Pfeifhofer‐Obermair Austria
Li-Yuan Bai Taiwan
Yueping Sun China
Venkatesh V. Nemmara United States
Chao He China
Youngran Park relative to Hsin‐Yi Tseng Australia Hsin‐Yi Tseng's profile →
Citations per field
00.5×1.5×
Hsin‐Yi Tseng · 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 201995
2 202194
3 200469
4 200861
5 200446
6 200441
7 200233
8 200426
9 200424
10 201224
11 201820
12 202117
13 201516
14 200516
15 201515
16 201113
17 201513
18 20207
19 20215
20 20205

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 658 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (4 papers), Galectins and Cancer Biology (3 papers), Natural product bioactivities and synthesis (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Cancer Mechanisms and Therapy (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Signaling Pathways in Disease (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (245 citations), Oncology (169 citations), Physiology (27 citations), Cancer Research (75 citations) and Molecular Biology (331 citations). Youngran Park has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Soo‐Cheon Chae, Hun‐Taeg Chung, Seung Cheol Shim, Kyung‐Sik Yoon, Jae Hoon Lee, Yong‐Chul Lee, Young-Suk Lee, Yeon Choi, V. Narry Kim and Jong‐Seo Kim. Their work appears in journals such as Immunogenetics, European Journal of Pharmacology, Human Immunology, Clinical Cancer Research and Oncology Reports.

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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