Youngmi Ji

1.1k citations
24 papers · 640 · h-index 14

Impact in

  • Rheumatology top 10%
    • Heterotopic Ossification and Related Conditions
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Youngmi Ji

23 papers receiving 627 citations

Peers

Youngmi Ji
Comparison fields: 5 of 86
  • Rheumatology 103
  • Cancer Research 87
  • Cell Biology 71
  • Genetics 46
  • Molecular Biology 273
Replace Mireille Thomas with:
Mireille Thomas France
Wing-Yee Cheung Canada
Jihee Sohn United States
April Mason‐Savas United States
Maurizia Valli Italy
Takashi Katsumata Japan
Shawon Debnath United States
Shirwin M. Pockwinse United States
Peter J. Wermuth United States
Elsa J. Brochmann United States
Youngmi Ji relative to Mireille Thomas France Mireille Thomas's profile →
Citations per field
00.5×1.5×
Mireille Thomas · 1×
Citations per year

Countries citing papers authored by Youngmi Ji

Since Specialization
Citations

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

Fields of papers citing papers by Youngmi Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010131
2 201563
3 201059
4 202255
5 201147
6 202044
7 201038
8 202126
9 201223
10 201019
11 201119
12 201216
13 200714
14 202014
15 201413
16 201911
17 202210
18 20039
19 20198
20 20118

About Youngmi Ji

Youngmi Ji is a scholar working on Molecular Biology, Rheumatology, Oncology, Physiology and Surgery, having authored 24 papers that have together received 640 indexed citations. Recurring topics across this work include Heterotopic Ossification and Related Conditions (7 papers), Salivary Gland Disorders and Functions (5 papers), Mesenchymal stem cell research (3 papers), TGF-β signaling in diseases (3 papers), Galectins and Cancer Biology (3 papers), Bone fractures and treatments (3 papers), Nerve injury and regeneration (2 papers) and Lymphatic System and Diseases (2 papers). The work is most often cited by research in Rheumatology (103 citations), Cancer Research (87 citations), Cell Biology (71 citations), Genetics (46 citations) and Molecular Biology (273 citations). Youngmi Ji has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Vyomesh Patel, J. Silvio Gutkind, Leon J. Nesti, Wesley M. Jackson, Ashwin Bhirde, Sachin Patel, Alfredo A. Molinolo, James F. Rusling, Alioscka A. Sousa and Richard D. Leapman. Their work appears in journals such as Scientific Reports, Molecular Cancer Research, PLoS ONE, Clinical Cancer Research and Journal of Orthopaedic Trauma.

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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