Xiaobing Jiang
Impact in
-
- Pituitary Gland Disorders and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Bacterial biofilms and quorum sensing 6
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- Pituitary Gland Disorders and Treatments 16
- Co-authors
- Xun Zhang (1 shared paper)Ke Sai (14 shared papers)Tao Yu (7 shared papers)Chao Ke (10 shared papers)Zhong-Ping Chen (6 shared papers)Hailei Wang (4 shared papers)Yi Li (3 shared papers)Yonggao Mou (16 shared papers)
- Journals
- Journal of Neuro-Oncology (4 papers)Brain Research (3 papers)International Journal of Food Microbiology (2 papers)Frontiers in Oncology (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Xiaobing Jiang
83 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Endocrinology, Diabetes and Metabolism 227
- Cancer Research 198
- Genetics 140
- Biotechnology 93
- Molecular Medicine 45
Countries citing papers authored by Xiaobing Jiang
This map shows the geographic impact of Xiaobing Jiang'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 Xiaobing Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Jiang more than expected).
Fields of papers citing papers by Xiaobing Jiang
This network shows the impact of papers produced by Xiaobing Jiang. 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 Xiaobing Jiang. The network helps show where Xiaobing Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobing Jiang, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 173 | |
| 2 | 2014 | 60 | |
| 3 | 2019 | 58 | |
| 4 | 2010 | 49 | |
| 5 | 2013 | 49 | |
| 6 | 2018 | 44 | |
| 7 | 2012 | 43 | |
| 8 | 2008 | 37 | |
| 9 | 2018 | 36 | |
| 10 | 2019 | 34 | |
| 11 | 2019 | 34 | |
| 12 | 2019 | 32 | |
| 13 | 2012 | 31 | |
| 14 | 2017 | 30 | |
| 15 | 2017 | 28 | |
| 16 | 2017 | 28 | |
| 17 | 2011 | 27 | |
| 18 | 2018 | 27 | |
| 19 | 2022 | 25 | |
| 20 | 2010 | 25 |
About Xiaobing Jiang
Xiaobing Jiang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (16 papers), Glioma Diagnosis and Treatment (12 papers), Brain Metastases and Treatment (8 papers), Listeria monocytogenes in Food Safety (8 papers), Bacterial biofilms and quorum sensing (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Meningioma and schwannoma management (5 papers) and Lung Cancer Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (227 citations), Cancer Research (198 citations), Genetics (140 citations), Biotechnology (93 citations) and Molecular Medicine (45 citations). Xiaobing Jiang has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Xun Zhang, Ke Sai, Tao Yu, Chao Ke, Zhong-Ping Chen, Hailei Wang, Yi Li, Yonggao Mou, Yonghong Zhu and Hongyang Zhao. Their work appears in journals such as Journal of Neuro-Oncology, Brain Research, International Journal of Food Microbiology, Frontiers in Oncology and BioMed Research International.
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.