Jae Won Chang

7.8k citations
118 papers · 3.9k indexed · 1 hit paper · h-index 29

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Polyamine Metabolism and Applications
    • Protein Kinase Regulation and GTPase Signaling
  • Physiology top 5%

Papers in

Jae Won Chang

110 papers receiving 3.9k citations

Hit Papers

An ATP-competitive Mammalian Target of Rapamycin Inhibitor Reveals Rapamycin-resistant Functions of mTORC1 2009 · 1.4k citations
1.4k20092026201420204008001.2k

Peers

Jae Won Chang
Comparison fields: 5 of 142
  • Molecular Biology 1.9k
  • Physiology 107
  • Cancer Research 339
  • Aging 39
  • Radiology, Nuclear Medicine and Imaging 507
Replace Shayn M. Peirce with:
Shayn M. Peirce United States
Takashi Nakajima Japan
Je‐Yoel Cho South Korea
Kiyoshi Ando Japan
Toshimichi Yoshida Japan
Kyoko Imanaka‐Yoshida Japan
Wei Zhou China
Heping Xu United Kingdom
Serena Zacchigna Italy
Piet Stinissen Belgium
Jae Won Chang relative to Shayn M. Peirce United States Shayn M. Peirce's profile →
Citations per field
00.5×4.3×
Shayn M. Peirce · 1×
Citations per year

Countries citing papers authored by Jae Won Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jae Won Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20247
4 20241
5 20234
6 20237
7 202211
8 202222
9 202211
10 20221
11 202210
12 202118
13 20217
14 20212
15 202115
16 20203
17 202014
18 20177
19 201513
20 201460

About Jae Won Chang

Jae Won Chang is a scholar working on Otorhinolaryngology, Speech and Hearing, Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 118 papers that have together received 3.9k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (24 papers), Thyroid and Parathyroid Surgery (16 papers), Tracheal and airway disorders (13 papers), Head and Neck Cancer Studies (10 papers), Dysphagia Assessment and Management (9 papers), Voice and Speech Disorders (9 papers), Head and Neck Anomalies (8 papers) and Salivary Gland Tumors Diagnosis and Treatment (7 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Physiology (107 citations), Cancer Research (339 citations), Aging (39 citations) and Radiology, Nuclear Medicine and Imaging (507 citations). Jae Won Chang has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include David M. Sabatini, Jianming Zhang, Qingsong Liu, Seong A. Kang, Taebo Sim, Nathanael S. Gray, Carson C. Thoreen, Laurie J. Reichling, Yi Gao and Yoo Seob Shin. Their work appears in journals such as Scientific Reports, Oral Oncology, Clinical and Experimental Otorhinolaryngology, Annals of Surgical Oncology and Cancers.

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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