Xiaobing Jiang
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Genetics 14
- Glioma Diagnosis and Treatment 14
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- Pituitary Gland Disorders and Treatments 16
- Co-authors
- Xun Zhang (1 shared paper)Tao Yu (7 shared papers)Ke Sai (14 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)The Journal of Clinical Endocrinology & Metabolism (2 papers)Endocrine Practice (2 papers)BioMed Research International (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaobing Jiang
85 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Genetics 172
- Cancer Research 215
- Endocrinology, Diabetes and Metabolism 237
- Biotechnology 99
- Molecular Medicine 46
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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 179 | |
| 2 | 2014 | 61 | |
| 3 | 2019 | 59 | |
| 4 | 2013 | 51 | |
| 5 | 2010 | 49 | |
| 6 | 2018 | 46 | |
| 7 | 2012 | 44 | |
| 8 | 2018 | 39 | |
| 9 | 2008 | 38 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 34 | |
| 12 | 2012 | 32 | |
| 13 | 2019 | 32 | |
| 14 | 2022 | 31 | |
| 15 | 2017 | 30 | |
| 16 | 2011 | 30 | |
| 17 | 2017 | 29 | |
| 18 | 2017 | 29 | |
| 19 | 2022 | 27 | |
| 20 | 2018 | 27 |
About Xiaobing Jiang
Xiaobing Jiang is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Biotechnology, Oncology and Pulmonary and Respiratory Medicine, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (16 papers), Glioma Diagnosis and Treatment (14 papers), Listeria monocytogenes in Food Safety (8 papers), Brain Metastases and Treatment (7 papers), Bacterial biofilms and quorum sensing (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Meningioma and schwannoma management (5 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Genetics (172 citations), Cancer Research (215 citations), Endocrinology, Diabetes and Metabolism (237 citations), Biotechnology (99 citations) and Molecular Medicine (46 citations). Xiaobing Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xun Zhang, Tao Yu, Ke Sai, 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, The Journal of Clinical Endocrinology & Metabolism, Endocrine Practice 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.