Bin Xu
- Endocrine and Autonomic Systems top 0.2%
- Physiology top 2%
- Nutrition and Dietetics top 1%
- Cellular and Molecular Neuroscience top 5%
- Complementary and alternative medicine top 0.5%
- Co-authors
- Pushpa S. KalraSatya P. KalraShuye PuMichael G. DubeTamás L. HorváthS. P. KalraZhi YuWilliam G. Farmerie
- Topics
- Acupuncture Treatment Research Studies (59 papers)Neuropeptides and Animal Physiology (15 papers)Traditional Chinese Medicine Studies (14 papers)
- Cited by
- Endocrine and Autonomic SystemsComplementary and alternative medicineNutrition and Dietetics
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bin Xu
106 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Endocrine and Autonomic Systems 1.6k
- Physiology 873
- Nutrition and Dietetics 713
- Cellular and Molecular Neuroscience 605
- Complementary and alternative medicine 539
Countries citing papers authored by Bin Xu
This map shows the geographic impact of Bin Xu'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 Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Xu more than expected).
Fields of papers citing papers by Bin Xu
This network shows the impact of papers produced by Bin Xu. 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 Xu. The network helps show where Bin Xu may publish in the future.
Co-authorship network of co-authors of Bin Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Xu. A scholar is included among the top collaborators of Bin Xu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Xu. Bin Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 14 | |
| 6 | 23 | |
| 7 | 18 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | Dosage regimens of meropenem based on T_(>MIC) | 1 |
| 11 | 39 | |
| 12 | 13 | |
| 13 | 9 | |
| 14 | Comparison Effects Among Different Dose of Warming Moxibustion on Levels of Blood Lipid | 1 |
| 15 | Comparison of the Effects among Different Dose of Ginger-separated Moxibustion on Levels of Blood Lipid | 1 |
| 16 | 1 | |
| 17 | Effect of oral KTYX on blood glucose in human | 1 |
| 18 | Regional Brain Activation in Patients with Irritable Bowel Syndrome with Rectal Balloon-distention: A Functional Magnetic Resonance Imaging Study. | 2 |
| 19 | 129 | |
| 20 | 36 |
About Bin Xu
Bin Xu is a scholar working on Complementary and alternative medicine, Endocrine and Autonomic Systems and Gastroenterology, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (59 papers), Neuropeptides and Animal Physiology (15 papers) and Traditional Chinese Medicine Studies (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.6k citations), Complementary and alternative medicine (539 citations) and Nutrition and Dietetics (713 citations). Bin Xu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Pushpa S. Kalra, Satya P. Kalra, Shuye Pu, Michael G. Dube, Tamás L. Horváth, S. P. Kalra, Zhi Yu, William G. Farmerie, Marie‐Christine Dubé and Anita Sahu. Their work appears in journals such as PLoS ONE, Endocrine Reviews and Brain Research.
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.