Hanbing Song
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Cancer Research
- Oncology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Franklin W. HuangJamie XieH WeinsteinBruce WangMatthew R. CooperbergFelix Y. FengPaul AllegakoenHeiko Yang
- Topics
- Cancer Genomics and Diagnostics (4 papers)Single-cell and spatial transcriptomics (3 papers)Lung Cancer Treatments and Mutations (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Hanbing Song
25 papers receiving 486 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Pulmonary and Respiratory Medicine 166
- Molecular Biology 144
- Cancer Research 128
- Oncology 122
- Endocrine and Autonomic Systems 78
Countries citing papers authored by Hanbing Song
This map shows the geographic impact of Hanbing Song'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 Hanbing Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbing Song more than expected).
Fields of papers citing papers by Hanbing Song
This network shows the impact of papers produced by Hanbing Song. 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 Hanbing Song. The network helps show where Hanbing Song may publish in the future.
Co-authorship network of co-authors of Hanbing Song
This figure shows the co-authorship network connecting the top 25 collaborators of Hanbing Song. A scholar is included among the top collaborators of Hanbing Song 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 Hanbing Song. Hanbing Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 11 | |
| 7 | 27 | |
| 8 | Single-cell analysis of human primary prostate cancer reveals the heterogeneity of tumor-associated epithelial cell statesbreakdown → | 140 |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 58 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 12 | |
| 16 | Identification of genes in Flammulina filiformis L-lysine biosynthesis pathway and their expression in response to light conditions. | 3 |
| 17 | 4 | |
| 18 | 25 | |
| 19 | 4 | |
| 20 | 26 |
About Hanbing Song
Hanbing Song is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 487 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (78 citations), Cancer Research (128 citations) and Pulmonary and Respiratory Medicine (166 citations). Hanbing Song has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Franklin W. Huang, Jamie Xie, H Weinstein, Bruce Wang, Matthew R. Cooperberg, Felix Y. Feng, Paul Allegakoen, Heiko Yang, Christopher A. Del Negro and John A. Hayes. Their work appears in journals such as Nature Communications, PLoS ONE and Cancer 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.