Bin Song
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Health Informatics top 10%
Papers in
-
- Thyroid Cancer Diagnosis and Treatment 16
-
- Acute Ischemic Stroke Management 3
- Co-authors
- Hao Wang (12 shared papers)Matthijs Oudkerk (1 shared paper)Paul D. Stein (1 shared paper)Edwin J.R. van Beek (1 shared paper)Yaqiong Ge (8 shared papers)Pu‐Yeh Wu (9 shared papers)Xilin Sun (4 shared papers)Weiyan Liu (5 shared papers)
- Journals
- Clinical Radiology (2 papers)Frontiers in Neurology (2 papers)World Journal of Gastroenterology (2 papers)Neurology and Therapy (2 papers)Cerebrovascular Diseases (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Bin Song
42 papers receiving 552 citations
Peers
Comparison fields: 5 of 58
- Internal Medicine 116
- Health Informatics 12
- Endocrinology, Diabetes and Metabolism 126
- Critical Care and Intensive Care Medicine 31
- Radiology, Nuclear Medicine and Imaging 137
Countries citing papers authored by Bin Song
This map shows the geographic impact of Bin Song'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 Bin Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Song more than expected).
Fields of papers citing papers by Bin Song
This network shows the impact of papers produced by Bin Song. 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 Bin Song. The network helps show where Bin Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Song, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 124 | |
| 2 | 2019 | 56 | |
| 3 | 2021 | 35 | |
| 4 | 2020 | 30 | |
| 5 | 2011 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2018 | 25 | |
| 8 | 2004 | 24 | |
| 9 | 2021 | 21 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2016 | 14 | |
| 13 | 2022 | 12 | |
| 14 | 2020 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2022 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2018 | 8 | |
| 20 | 2022 | 8 |
About Bin Song
Bin Song is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Radiology, Nuclear Medicine and Imaging, Surgery and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 563 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Acute Ischemic Stroke Management (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), MRI in cancer diagnosis (2 papers), Pancreatitis Pathology and Treatment (2 papers), Thyroid and Parathyroid Surgery (2 papers) and Hermeneutics and Narrative Identity (1 paper). The work is most often cited by research in Internal Medicine (116 citations), Health Informatics (12 citations), Endocrinology, Diabetes and Metabolism (126 citations), Critical Care and Intensive Care Medicine (31 citations) and Radiology, Nuclear Medicine and Imaging (137 citations). Bin Song has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Hao Wang, Matthijs Oudkerk, Paul D. Stein, Edwin J.R. van Beek, Yaqiong Ge, Pu‐Yeh Wu, Xilin Sun, Weiyan Liu, Wenjuan Hu and Ran Wei. Their work appears in journals such as Clinical Radiology, Frontiers in Neurology, World Journal of Gastroenterology, Neurology and Therapy and Cerebrovascular 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.