Won‐Kyung Yang

897 citations
65 papers · 701 · h-index 16

Impact in

    • Pharmacological Effects of Natural Compounds
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

Won‐Kyung Yang

60 papers receiving 681 citations

Peers

Won‐Kyung Yang
Comparison fields: 5 of 93
  • Pharmacology 100
  • Biochemistry 62
  • Complementary and alternative medicine 72
  • Dermatology 71
  • Immunology and Allergy 34
Replace Daekeun Shin with:
Daekeun Shin South Korea
In‐Seung Lee South Korea
Vahideh Ghorani Iran
Jehyeon Ra South Korea
Sung‐Ki Jung South Korea
Kyung-Mi Kim South Korea
Tae Woo Oh South Korea
Xianxing Xie China
Dong-Joo Kwon South Korea
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Won‐Kyung Yang relative to Daekeun Shin South Korea Daekeun Shin's profile →
Citations per field
00.5×3.2×
Daekeun Shin · 1×
Citations per year

Countries citing papers authored by Won‐Kyung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Kyung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Kyung Yang. 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 Won‐Kyung Yang. The network helps show where Won‐Kyung Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202052
2 201743
3 201936
4 201936
5 201832
6 201331
7 201831
8 201429
9 202025
10 201224
11 201221
12 202020
13 202019
14 202118
15 201716
16 202116
17 199415
18 201913
19 201813
20 202312

About Won‐Kyung Yang

Won‐Kyung Yang is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Emergency Medical Services, Molecular Biology and Dermatology, having authored 65 papers that have together received 701 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (13 papers), Pediatric health and respiratory diseases (12 papers), Air Quality and Health Impacts (9 papers), Dermatology and Skin Diseases (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), IL-33, ST2, and ILC Pathways (6 papers), Allergic Rhinitis and Sensitization (6 papers) and Respiratory and Cough-Related Research (5 papers). The work is most often cited by research in Pharmacology (100 citations), Biochemistry (62 citations), Complementary and alternative medicine (72 citations), Dermatology (71 citations) and Immunology and Allergy (34 citations). Won‐Kyung Yang has collaborated with scholars based in South Korea, Pakistan and United States. Frequent co-authors include Seung‐Hyung Kim, Yang‐Chun Park, Dong-Seon Kim, Yoon-Young Sung, Young‐Cheol Lee, Ho Kyoung Kim, Man Hee Rhee, Young‐Sil Lee, Sungwook Chae and Jung-Hee Hong. Their work appears in journals such as Nutrients, Evidence-based Complementary and Alternative Medicine, Phytomedicine, Journal of Ethnopharmacology and Frontiers in Pharmacology.

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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