Sunmi Jo
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
-
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 7
-
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- BuHyun Youn (8 shared papers)Hyunkoo Kang (6 shared papers)Jaewan Jeon (7 shared papers)HyeSook Youn (6 shared papers)Hyun‐Woo Kim (4 shared papers)Beomseok Son (5 shared papers)Sungmin Lee (3 shared papers)Won Il Jang (5 shared papers)
- Journals
- Cancer Research and Treatment (2 papers)Japanese Journal of Clinical Oncology (2 papers)International Journal of Molecular Sciences (2 papers)Oncogene (1 paper)Liver Cancer (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Sunmi Jo
28 papers receiving 370 citations
Peers
Comparison fields: 5 of 68
- Hepatology 83
- Cancer Research 76
- Radiation 39
- Genetics 32
- Oncology 45
Countries citing papers authored by Sunmi Jo
This map shows the geographic impact of Sunmi Jo'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 Sunmi Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunmi Jo more than expected).
Fields of papers citing papers by Sunmi Jo
This network shows the impact of papers produced by Sunmi Jo. 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 Sunmi Jo. The network helps show where Sunmi Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sunmi Jo, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 80 | |
| 2 | 2019 | 42 | |
| 3 | 2021 | 35 | |
| 4 | 2018 | 28 | |
| 5 | 2019 | 23 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2011 | 15 | |
| 9 | 2018 | 14 | |
| 10 | 2022 | 13 | |
| 11 | 2014 | 13 | |
| 12 | 2019 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2016 | 7 | |
| 15 | 2013 | 7 | |
| 16 | 2016 | 7 | |
| 17 | 2019 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2024 | 4 |
About Sunmi Jo
Sunmi Jo is a scholar working on Hepatology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Surgery, having authored 31 papers that have together received 373 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Advanced Radiotherapy Techniques (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), MicroRNA in disease regulation (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (83 citations), Cancer Research (76 citations), Radiation (39 citations), Genetics (32 citations) and Oncology (45 citations). Sunmi Jo has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include BuHyun Youn, Hyunkoo Kang, Jaewan Jeon, HyeSook Youn, Hyun‐Woo Kim, Beomseok Son, Sungmin Lee, Won Il Jang, Sun Hyun Bae and Hye‐kyung Shim. Their work appears in journals such as Cancer Research and Treatment, Japanese Journal of Clinical Oncology, International Journal of Molecular Sciences, Oncogene and Liver Cancer.
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.