Bing Zhang
- Molecular Biology top 2%
- Epidemiology top 5%
- Genetics top 2%
- Cell Biology top 2%
- Oncology top 5%
- Topics
- Gut microbiota and health (24 papers)Respiratory viral infections research (21 papers)Inflammatory Bowel Disease (14 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bing Zhang
215 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 2.7k
- Epidemiology 853
- Genetics 826
- Cell Biology 664
- Oncology 652
Countries citing papers authored by Bing Zhang
This map shows the geographic impact of Bing Zhang'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 Bing Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Zhang more than expected).
Fields of papers citing papers by Bing Zhang
This network shows the impact of papers produced by Bing Zhang. 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 Bing Zhang. The network helps show where Bing Zhang may publish in the future.
Co-authorship network of co-authors of Bing Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Bing Zhang. A scholar is included among the top collaborators of Bing Zhang 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 Bing Zhang. Bing Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 48 | |
| 5 | 28 | |
| 6 | 22 | |
| 7 | Triglyceride to High-Density Lipoprotein Cholesterol Ratio is an Important Determinant of Cardiovascular Risk and Poor Prognosis in Coronavirus Disease-19: A Retrospective Case Series Study | 0 |
| 8 | 1 | |
| 9 | Plasma indoleamine 2,3-dioxygenase activity as a potential biomarker for early diagnosis of multidrug-resistant tuberculosis in tuberculosis patients | 0 |
| 10 | 13 | |
| 11 | 1 | |
| 12 | 91 | |
| 13 | 31 | |
| 14 | 41 | |
| 15 | Protective Effects of Remote Limb Preconditioning on Ischemia Reperfusion Injury in Rats Liver | 0 |
| 16 | 70 | |
| 17 | Effect of treatment of autologous cytokine-induced killer cells(CIKs) on the suppression of hepatitis B virus and its mechanism | 0 |
| 18 | Emission of Polychlorinated Naphthalenes during Thermal Related Processes | 1 |
| 19 | 120 | |
| 20 | 9 |
About Bing Zhang
Bing Zhang is a scholar working on Biological Psychiatry, Infectious Diseases and Pathology and Forensic Medicine, having authored 233 papers that have together received 6.1k indexed citations. Recurring topics across this work include Gut microbiota and health (24 papers), Respiratory viral infections research (21 papers) and Inflammatory Bowel Disease (14 papers). The work is most often cited by research in Biological Psychiatry (194 citations), Cell Biology (664 citations) and Molecular Biology (2.7k citations). Bing Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael Lotz, Yi Geng, Hong Bao, Andrew C. Zelhof, Mingshan Xue, Junjun Wang, Tiantian Li, Zhenhua Wu, Jiaman Pang and Dandan Han. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.
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.