Jianjun Dong
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Diabetes Treatment and Management
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
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- Thyroid Cancer Diagnosis and Treatment 9
- Diabetes Treatment and Management 6
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- Radiomics and Machine Learning in Medical Imaging 6
- Co-authors
- Lin Liao (52 shared papers)Junyu Zhao (19 shared papers)Jinming Yao (20 shared papers)Haizhu Xie (10 shared papers)Xiaojun Zhou (17 shared papers)Ning Mao (10 shared papers)Zhongwen Zhang (8 shared papers)Meijie Liu (8 shared papers)
- Journals
- Frontiers in Endocrinology (6 papers)Frontiers in Oncology (4 papers)Diabetes Therapy (2 papers)Hormone and Metabolic Research (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Jianjun Dong
83 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Endocrinology, Diabetes and Metabolism 273
- Nephrology 76
- Genetics 91
- Radiology, Nuclear Medicine and Imaging 157
- Reproductive Medicine 57
Countries citing papers authored by Jianjun Dong
This map shows the geographic impact of Jianjun Dong'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 Jianjun Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianjun Dong more than expected).
Fields of papers citing papers by Jianjun Dong
This network shows the impact of papers produced by Jianjun Dong. 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 Jianjun Dong. The network helps show where Jianjun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jianjun Dong, 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 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 153 | |
| 2 | 2018 | 74 | |
| 3 | 2018 | 68 | |
| 4 | 2018 | 65 | |
| 5 | 2016 | 55 | |
| 6 | 2020 | 51 | |
| 7 | 2021 | 39 | |
| 8 | 2020 | 39 | |
| 9 | 2018 | 33 | |
| 10 | 2021 | 30 | |
| 11 | 2016 | 29 | |
| 12 | 2019 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2020 | 22 | |
| 15 | 2024 | 21 | |
| 16 | 2016 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 19 | |
| 19 | 2020 | 19 | |
| 20 | 2014 | 18 |
About Jianjun Dong
Jianjun Dong is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Epidemiology, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Diabetes Treatment and Management (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Pancreatic function and diabetes (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Acute Kidney Injury Research (3 papers), Cancer-related Molecular Pathways (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (273 citations), Nephrology (76 citations), Genetics (91 citations), Radiology, Nuclear Medicine and Imaging (157 citations) and Reproductive Medicine (57 citations). Jianjun Dong has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Lin Liao, Junyu Zhao, Jinming Yao, Haizhu Xie, Xiaojun Zhou, Ning Mao, Zhongwen Zhang, Meijie Liu, Lin Liao and Congcong Guo. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Oncology, Diabetes Therapy, Hormone and Metabolic Research and Diabetes Metabolic Syndrome and Obesity.
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.