Yuan Ji
Impact in
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- Hepatocellular Carcinoma Treatment and Prognosis
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- Neuroendocrine Tumor Research Advances
- Liver Disease Diagnosis and Treatment
Papers in
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- Liver Disease Diagnosis and Treatment 2
- Neuroendocrine Tumor Research Advances 2
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- Protein purification and stability 1
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Xu Han (3 shared papers)Hiromi Hatsuse (1 shared paper)Michiyuki Kawakami (1 shared paper)Misao Matsushita (1 shared paper)Aki Takahashi (1 shared paper)Teizo Fujita (1 shared paper)Dansong Wang (2 shared papers)Xuefeng Xu (2 shared papers)
- Journals
- Pancreas (2 papers)Cancer Science (2 papers)Abdominal Radiology (1 paper)Annals of Medicine (1 paper)European Journal of Clinical Microbiology & Infectious Diseases (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yuan Ji
19 papers receiving 313 citations
Peers
Comparison fields: 5 of 56
- Hepatology 42
- Epidemiology 95
- Immunology 62
- Oncology 51
- Cancer Research 21
Countries citing papers authored by Yuan Ji
This map shows the geographic impact of Yuan Ji'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 Yuan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Ji more than expected).
Fields of papers citing papers by Yuan Ji
This network shows the impact of papers produced by Yuan Ji. 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 Yuan Ji. The network helps show where Yuan Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 56 | |
| 2 | 2014 | 43 | |
| 3 | 2009 | 34 | |
| 4 | 2017 | 32 | |
| 5 | 2020 | 23 | |
| 6 | Molecular mechanisms of diabetic coronary dysfunction due to large conductance Ca2⁺-activated K⁺ channel impairment. | 2012 | 22 |
| 7 | 2023 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2018 | 14 | |
| 11 | 2021 | 11 | |
| 12 | [Comparative study on clinical and pathological changes of liver fibrosis with diffusion-weighted imaging]. | 2009 | 7 |
| 13 | 2018 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2017 | 1 | |
| 20 | 2018 | 0 |
About Yuan Ji
Yuan Ji is a scholar working on Epidemiology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 20 papers that have together received 319 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Protein purification and stability (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hepatology (42 citations), Epidemiology (95 citations), Immunology (62 citations), Oncology (51 citations) and Cancer Research (21 citations). Yuan Ji has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xu Han, Hiromi Hatsuse, Michiyuki Kawakami, Misao Matsushita, Aki Takahashi, Teizo Fujita, Dansong Wang, Xuefeng Xu, Wenhui Lou and Dayong Jin. Their work appears in journals such as Pancreas, Cancer Science, Abdominal Radiology, Annals of Medicine and European Journal of Clinical Microbiology & Infectious Diseases.
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.