Jun Park
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
- Pituitary Gland Disorders and Treatments
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- Chemotherapy-induced organ toxicity mitigation
Papers in
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- Thyroid Cancer Diagnosis and Treatment 14
- Thyroid Disorders and Treatments 4
- Pituitary Gland Disorders and Treatments 3
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- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Tae Hyuk Kim (16 shared papers)Jae Hoon Chung (16 shared papers)Sun Wook Kim (14 shared papers)Hyunju Park (14 shared papers)Ji Young Sul (3 shared papers)Ki Sung Kang (2 shared papers)Jinsun Lee (3 shared papers)Myung‐Chul Lee (3 shared papers)
- Journals
- Cancers (6 papers)Thyroid (2 papers)Frontiers in Endocrinology (2 papers)Planta Medica (1 paper)Nuclear Medicine Communications (1 paper)
- Partner nations
- South KoreaUnited StatesVietnam
In The Last Decade
Jun Park
24 papers receiving 371 citations
Peers
Comparison fields: 5 of 67
- Endocrinology, Diabetes and Metabolism 191
- Pathology and Forensic Medicine 65
- Molecular Medicine 16
- Rehabilitation 21
- Biochemistry 18
Countries citing papers authored by Jun Park
This map shows the geographic impact of Jun Park'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 Jun Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Park more than expected).
Fields of papers citing papers by Jun Park
This network shows the impact of papers produced by Jun Park. 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 Jun Park. The network helps show where Jun Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Park, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 43 | |
| 2 | 2019 | 34 | |
| 3 | 2021 | 28 | |
| 4 | 2020 | 28 | |
| 5 | 2018 | 26 | |
| 6 | 2008 | 24 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 18 | |
| 12 | 2021 | 17 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 5 | |
| 20 | 2018 | 5 |
About Jun Park
Jun Park is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 24 papers that have together received 373 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid Disorders and Treatments (4 papers), BRCA gene mutations in cancer (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Thyroid and Parathyroid Surgery (2 papers), Clusterin in disease pathology (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (191 citations), Pathology and Forensic Medicine (65 citations), Molecular Medicine (16 citations), Rehabilitation (21 citations) and Biochemistry (18 citations). Jun Park has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Tae Hyuk Kim, Jae Hoon Chung, Sun Wook Kim, Hyunju Park, Ji Young Sul, Ki Sung Kang, Jinsun Lee, Myung‐Chul Lee, Dahae Lee and So Young Park. Their work appears in journals such as Cancers, Thyroid, Frontiers in Endocrinology, Planta Medica and Nuclear Medicine Communications.
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.