Eunsung Jun
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in ⓘ
- Oncology 50
- Pancreatic and Hepatic Oncology Research 37
- Cancer Cells and Metastasis 9
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- Cancer Genomics and Diagnostics 15
- Co-authors
- Song Cheol Kim (52 shared papers)Ki Byung Song (35 shared papers)Dae Wook Hwang (33 shared papers)Jae Hoon Lee (32 shared papers)Sang Hyun Shin (5 shared papers)Young Joo Lee (5 shared papers)Kwang‐Min Park (4 shared papers)Woohyung Lee (28 shared papers)
- Journals
- Scientific Reports (5 papers)International Journal of Surgery (4 papers)Journal of Hepato-Biliary-Pancreatic Sciences (4 papers)Oncotarget (4 papers)Journal of Clinical Medicine (4 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Eunsung Jun
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 103
- Oncology 619
- Cancer Research 196
- Biomaterials 100
- Immunology 154
- Pulmonary and Respiratory Medicine 236
Countries citing papers authored by Eunsung Jun
This map shows the geographic impact of Eunsung Jun'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 Eunsung Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunsung Jun more than expected).
Fields of papers citing papers by Eunsung Jun
This network shows the impact of papers produced by Eunsung Jun. 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 Eunsung Jun. The network helps show where Eunsung Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Eunsung Jun, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 95 | |
| 2 | 2013 | 69 | |
| 3 | 2013 | 47 | |
| 4 | 2023 | 46 | |
| 5 | 2021 | 45 | |
| 6 | 2017 | 45 | |
| 7 | 2020 | 43 | |
| 8 | 2019 | 43 | |
| 9 | 2023 | 39 | |
| 10 | 2016 | 38 | |
| 11 | 2022 | 32 | |
| 12 | 2020 | 28 | |
| 13 | 2021 | 26 | |
| 14 | 2021 | 26 | |
| 15 | 2015 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2019 | 24 | |
| 18 | 2021 | 22 | |
| 19 | 2018 | 21 | |
| 20 | 2017 | 20 |
About Eunsung Jun
Eunsung Jun is a scholar working on Oncology, Cancer Research, Surgery, Biotechnology and Gastroenterology, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (37 papers), Cancer Genomics and Diagnostics (15 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Cancer Cells and Metastasis (9 papers), Gallbladder and Bile Duct Disorders (9 papers), Pancreatitis Pathology and Treatment (7 papers), Nanoplatforms for cancer theranostics (6 papers) and Neuroendocrine Tumor Research Advances (6 papers). The work is most often cited by research in Oncology (619 citations), Cancer Research (196 citations), Biomaterials (100 citations), Immunology (154 citations) and Pulmonary and Respiratory Medicine (236 citations). Eunsung Jun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Song Cheol Kim, Ki Byung Song, Dae Wook Hwang, Jae Hoon Lee, Sang Hyun Shin, Young Joo Lee, Kwang‐Min Park, Woohyung Lee, Yejong Park and Seung‐Mo Hong. Their work appears in journals such as Scientific Reports, International Journal of Surgery, Journal of Hepato-Biliary-Pancreatic Sciences, Oncotarget and Journal of Clinical Medicine.
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.