Eunsung Jun
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Oncology 44
- Pancreatic and Hepatic Oncology Research 35
- Cancer Cells and Metastasis 8
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- Cancer Genomics and Diagnostics 10
- Co-authors
- Song Cheol Kim (52 shared papers)Ki Byung Song (33 shared papers)Dae Wook Hwang (33 shared papers)Jae Hoon Lee (31 shared papers)Woohyung Lee (28 shared papers)Yejong Park (26 shared papers)Sang Hyun Shin (5 shared papers)Young Joo Lee (4 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of Hepato-Biliary-Pancreatic Sciences (5 papers)International Journal of Surgery (4 papers)Journal of Clinical Medicine (4 papers)Oncotarget (4 papers)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Eunsung Jun
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Oncology 647
- Cancer Research 241
- Immunology 164
- Biomaterials 104
- Molecular Biology 424
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 125 | |
| 2 | 2014 | 103 | |
| 3 | 2013 | 73 | |
| 4 | 2023 | 67 | |
| 5 | 2023 | 51 | |
| 6 | 2021 | 51 | |
| 7 | 2020 | 49 | |
| 8 | 2013 | 49 | |
| 9 | 2019 | 49 | |
| 10 | 2017 | 47 | |
| 11 | 2022 | 41 | |
| 12 | 2016 | 38 | |
| 13 | 2021 | 31 | |
| 14 | 2020 | 31 | |
| 15 | 2021 | 31 | |
| 16 | 2015 | 30 | |
| 17 | 2021 | 28 | |
| 18 | 2016 | 27 | |
| 19 | 2019 | 24 | |
| 20 | 2018 | 23 |
About Eunsung Jun
Eunsung Jun is a scholar working on Oncology, Cancer Research, Surgery, Biotechnology and Immunology, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (35 papers), Cancer Genomics and Diagnostics (10 papers), Cancer Cells and Metastasis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Nanoplatforms for cancer theranostics (6 papers), Immune Cell Function and Interaction (5 papers), Cancer Research and Treatments (4 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Oncology (647 citations), Cancer Research (241 citations), Immunology (164 citations), Biomaterials (104 citations) and Molecular Biology (424 citations). Eunsung Jun has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Song Cheol Kim, Ki Byung Song, Dae Wook Hwang, Jae Hoon Lee, Woohyung Lee, Yejong Park, Sang Hyun Shin, Young Joo Lee, Kwang‐Min Park and Jaewoo Kwon. Their work appears in journals such as Scientific Reports, Journal of Hepato-Biliary-Pancreatic Sciences, International Journal of Surgery, Journal of Clinical Medicine and Oncotarget.
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.