Yan Guo
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Surgery 31
- Bladder and Urothelial Cancer Treatments 21
- Urinary and Genital Oncology Studies 6
-
- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 11
- Co-authors
- Huanjun Wang (30 shared papers)Shurong Li (11 shared papers)Jian Guan (13 shared papers)Margaret H. Pui (8 shared papers)Ailian Liu (7 shared papers)Junhang Luo (4 shared papers)Haohua Yao (3 shared papers)Fan Zhang (2 shared papers)
- Journals
- Frontiers in Oncology (11 papers)European Radiology (10 papers)Journal of Magnetic Resonance Imaging (9 papers)Clinical Radiology (5 papers)Abdominal Radiology (4 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Yan Guo
103 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 81
- Radiology, Nuclear Medicine and Imaging 706
- Hepatology 150
- Surgery 676
- Urology 61
- Obstetrics and Gynecology 71
Countries citing papers authored by Yan Guo
This map shows the geographic impact of Yan Guo'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 Yan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Guo more than expected).
Fields of papers citing papers by Yan Guo
This network shows the impact of papers produced by Yan Guo. 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 Yan Guo. The network helps show where Yan Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Guo, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 159 | |
| 2 | 2013 | 67 | |
| 3 | 2019 | 65 | |
| 4 | 2019 | 61 | |
| 5 | 2020 | 60 | |
| 6 | 2020 | 60 | |
| 7 | 2015 | 58 | |
| 8 | 2020 | 55 | |
| 9 | 2019 | 55 | |
| 10 | 2020 | 53 | |
| 11 | 2021 | 52 | |
| 12 | 2020 | 51 | |
| 13 | 2019 | 51 | |
| 14 | 2016 | 49 | |
| 15 | 2016 | 47 | |
| 16 | 2022 | 45 | |
| 17 | 2021 | 43 | |
| 18 | 2018 | 43 | |
| 19 | 2021 | 41 | |
| 20 | 2021 | 39 |
About Yan Guo
Yan Guo is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology and Biomedical Engineering, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (21 papers), Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Advanced X-ray and CT Imaging (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Urinary and Genital Oncology Studies (6 papers) and Urologic and reproductive health conditions (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (706 citations), Hepatology (150 citations), Surgery (676 citations), Urology (61 citations) and Obstetrics and Gynecology (71 citations). Yan Guo has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Huanjun Wang, Shurong Li, Jian Guan, Margaret H. Pui, Ailian Liu, Junhang Luo, Haohua Yao, Fan Zhang, Bi-tao Pan and Ying Zhao. Their work appears in journals such as Frontiers in Oncology, European Radiology, Journal of Magnetic Resonance Imaging, Clinical Radiology and Abdominal 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.