Su Joa Ahn
Impact in
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver Disease and Transplantation
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 11
- MRI in cancer diagnosis 8
- Surgery 19
- Cholangiocarcinoma and Gallbladder Cancer Studies 8
- Co-authors
- Joon Koo Han (18 shared papers)Jeong Min Lee (19 shared papers)Jung Hoon Kim (9 shared papers)Ijin Joo (14 shared papers)Hyo‐Jin Kang (13 shared papers)Dong Ho Lee (9 shared papers)Sang Joon Park (4 shared papers)Jeong Hee Yoon (10 shared papers)
- Journals
- European Radiology (8 papers)Abdominal Radiology (5 papers)ULTRASONOGRAPHY (3 papers)Korean Journal of Radiology (3 papers)Radiology (3 papers)
- Partner nations
- South KoreaEthiopiaCanada
In The Last Decade
Su Joa Ahn
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Hepatology 574
- Radiology, Nuclear Medicine and Imaging 561
- Epidemiology 452
- Oncology 324
- Pulmonary and Respiratory Medicine 295
Countries citing papers authored by Su Joa Ahn
This map shows the geographic impact of Su Joa Ahn'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 Su Joa Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Joa Ahn more than expected).
Fields of papers citing papers by Su Joa Ahn
This network shows the impact of papers produced by Su Joa Ahn. 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 Su Joa Ahn. The network helps show where Su Joa Ahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Joa Ahn, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 102 | |
| 2 | 2016 | 96 | |
| 3 | 2018 | 81 | |
| 4 | 2018 | 60 | |
| 5 | 2019 | 59 | |
| 6 | 2020 | 56 | |
| 7 | 2018 | 54 | |
| 8 | 2019 | 54 | |
| 9 | 2016 | 53 | |
| 10 | 2019 | 51 | |
| 11 | 2018 | 45 | |
| 12 | 2020 | 44 | |
| 13 | 2017 | 40 | |
| 14 | 2019 | 38 | |
| 15 | 2018 | 37 | |
| 16 | 2018 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2020 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2016 | 19 |
About Su Joa Ahn
Su Joa Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Hepatology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (17 papers), Liver Disease Diagnosis and Treatment (13 papers), Pancreatic and Hepatic Oncology Research (11 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), MRI in cancer diagnosis (8 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Gallbladder and Bile Duct Disorders (6 papers) and Advanced X-ray and CT Imaging (5 papers). The work is most often cited by research in Hepatology (574 citations), Radiology, Nuclear Medicine and Imaging (561 citations), Epidemiology (452 citations), Oncology (324 citations) and Pulmonary and Respiratory Medicine (295 citations). Su Joa Ahn has collaborated with scholars based in South Korea, Ethiopia and Canada. Frequent co-authors include Joon Koo Han, Jeong Min Lee, Jung Hoon Kim, Ijin Joo, Hyo‐Jin Kang, Dong Ho Lee, Sang Joon Park, Jeong Hee Yoon, Sang Min Lee and Hyun Kyung Yang. Their work appears in journals such as European Radiology, Abdominal Radiology, ULTRASONOGRAPHY, Korean Journal of Radiology and Radiology.
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.