Jane Kwon

487 citations
14 papers · 381 · h-index 11

Impact in

    • Dental Radiography and Imaging
    • Dental Implant Techniques and Outcomes
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Periodontal Regeneration and Treatments 2
    • Mesenchymal stem cell research 2

Jane Kwon

14 papers receiving 376 citations

Peers

Jane Kwon
Comparison fields: 5 of 98
  • Oral Surgery 86
  • Aging 21
  • Health Informatics 9
  • General Dentistry 9
  • Orthodontics 18
Replace Yitao Tang with:
Yitao Tang United States
V. L Zorin Russia
Danying Chen China
Negin Farzad United States
Natsumi Takamaru Japan
Mostafa Kiamehr Finland
Kentaro Hashimoto Japan
Im‐Hee Jung South Korea
Rebecca Babb United Kingdom
Chootima Ratisoontorn Thailand
Jane Kwon relative to Yitao Tang United States Yitao Tang's profile →
Citations per field
00.5×2×4×6×8×9.5×
Yitao Tang · 1×
Citations per year

Countries citing papers authored by Jane Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Jane Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201975
2 201968
3 200248
4 201746
5 201933
6 202122
7 201919
8 202015
9 202215
10 202014
11 201712
12
Employee benefits in a total rewards framework.
20139
13 20194
14 20241

About Jane Kwon

Jane Kwon is a scholar working on Urology, Genetics, Epidemiology, Aging and Surgery, having authored 14 papers that have together received 381 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (2 papers), Periodontal Regeneration and Treatments (2 papers), Bone Tissue Engineering Materials (2 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (1 paper), Biomedical Research and Pathophysiology (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Oral Surgery (86 citations), Aging (21 citations), Health Informatics (9 citations), General Dentistry (9 citations) and Orthodontics (18 citations). Jane Kwon has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Dong Joon Lee, Ching‐Chang Ko, Yong‐Il Kim, Patrícia A. Miguez, Xiaoyu Wang, Ching‐Chang Ko, Feng‐Chang Lin, Steven B. Kim, Michael C. Justice and Jason W. Harger. Their work appears in journals such as American Journal of Orthodontics and Dentofacial Orthopedics, Journal of Tissue Engineering, Journal of Dentistry, Biochemical and Biophysical Research Communications and Orthodontics and Craniofacial Research.

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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