Bing Zhang
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 1%
- Immunology top 2%
- Co-authors
- Jing WangZhiao ShiSuhas VasaikarYuxing LiaoEric J. JaehnigPéter StraubMichael S. GreerDavid L. Tabb
- Topics
- Bioinformatics and Genomic Networks (40 papers)Advanced Proteomics Techniques and Applications (39 papers)Cancer-related molecular mechanisms research (37 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Bing Zhang
318 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Molecular Biology 9.6k
- Cancer Research 3.6k
- Oncology 2.1k
- Pulmonary and Respiratory Medicine 1.7k
- Immunology 1.5k
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 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | WD Repeat Domain 5 Promotes Invasion, Metastasis and Tumor Growth in Glioma Through Up-Regulated Zinc Finger E-Box Binding Homeobox 1 Expression | 1 |
| 10 | Xanthohumol Inhibits TGF-β1-Induced Cardiac Fibroblasts Activation via Mediating PTEN/Akt/mTOR Signaling Pathway | 1 |
| 11 | MiR-1224-5p Activates Autophagy, Cell Invasion and Inhibits Epithelial-to-Mesenchymal Transition in Osteosarcoma Cells by Directly Targeting PLK1 Through PI3K/AKT/mTOR Signaling Pathway | 1 |
| 12 | Identification of Potential Metabolite Markers for Middle-Aged Patients with Post-Stroke Depression Using Urine Metabolomics | 1 |
| 13 | 5 | |
| 14 | lncRNA KCNQ1OT1 enhances the chemoresistance of oxaliplatin in colon cancer by targeting the miR-34a/ATG4B pathway | 6 |
| 15 | 57 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | 119 | |
| 19 | 24 | |
| 20 | Synthesis and Characterization of Metal Complexes of Cu(II), Ni(II), Zn(II), Co(II), Mn(II) and Cd(II) with Tetradentate Schiff Bases | 71 |
About Bing Zhang
Bing Zhang is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 342 papers that have together received 14.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (40 papers), Advanced Proteomics Techniques and Applications (39 papers) and Cancer-related molecular mechanisms research (37 papers). The work is most often cited by research in Cancer Research (3.6k citations), Molecular Biology (9.6k citations) and Spectroscopy (1.3k citations). Bing Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jing Wang, Zhiao Shi, Suhas Vasaikar, Yuxing Liao, Eric J. Jaehnig, Péter Straub, Jing Wang, Michael S. Greer, David L. Tabb and Bo Wen. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids 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.