Ji Won Yang

522 citations
32 papers · 341 · h-index 13

Impact in

    • Mesenchymal stem cell research
  • Periodontics top 10%
    • Oral microbiology and periodontitis research

Papers in

    • Gut microbiota and health 3
    • Extracellular vesicles in disease 2
    • Inflammasome and immune disorders 2
    • Mesenchymal stem cell research 6

Ji Won Yang

28 papers receiving 330 citations

Peers

Ji Won Yang
Comparison fields: 5 of 88
  • Genetics 56
  • Periodontics 20
  • Hematology 31
  • Microbiology 13
  • Rehabilitation 13
Replace Seiya Miyajima with:
Seiya Miyajima Japan
Norman‐Philipp Hoff Germany
Laura Saward Canada
Valentina Dimartino Italy
Lozan Sheriff United Kingdom
Shulan Chen China
Denis Polančec Croatia
Anna Zampetti Italy
D. Morgado‐Carrasco Spain
Mateusz Kwitniewski Poland
Ji Won Yang relative to Seiya Miyajima Japan Seiya Miyajima's profile →
Citations per field
00.5×10×13.3×
Seiya Miyajima · 1×
Citations per year

Countries citing papers authored by Ji Won Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Won Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202034
2 201928
3 202026
4 199726
5 201725
6 202122
7 201221
8 202020
9 202020
10 202115
11 202014
12 202014
13 201913
14 202011
15 201710
16 20168
17 20187
18 19955
19 20254
20 20244

About Ji Won Yang

Ji Won Yang is a scholar working on Molecular Biology, Genetics, Immunology, Surgery and Epidemiology, having authored 32 papers that have together received 341 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Immune cells in cancer (4 papers), Gut microbiota and health (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Extracellular vesicles in disease (2 papers), Immune Cell Function and Interaction (2 papers), Inflammasome and immune disorders (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Genetics (56 citations), Periodontics (20 citations), Hematology (31 citations), Microbiology (13 citations) and Rehabilitation (13 citations). Ji Won Yang has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Hyung‐Sik Kim, Yoojin Seo, Tae–Hoon Shin, Chang‐Hee Suh, Hyoun‐Ah Kim, Ju‐Yang Jung, Sang Joon Lee, Byung‐Joo Lee, Byungchul Yu and Minjung Kang. Their work appears in journals such as BMB Reports, International Journal of Molecular Sciences, JACC CardioOncology, Scientific Reports and Therapeutic Advances in Musculoskeletal Disease.

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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