Steven Song
- Molecular Biology top 5%
- Oncology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Genetics top 5%
- Co-authors
- Gabriele BergersDouglas HanahanNicole Meyer-MorseEmily K. BergslandNathaniel DiamantAaron D. AguirrePuneet BatraErik Reinertsen
- Topics
- Angiogenesis and VEGF in Cancer (3 papers)ECG Monitoring and Analysis (1 paper)Barrier Structure and Function Studies (1 paper)
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Journal of Clinical InvestigationAmerican Journal of Physiology-Endocrinology and MetabolismPLoS Computational Biology
- Partner nations
- United StatesIsrael
In The Last Decade
Steven Song
6 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.9k
- Oncology 892
- Cancer Research 853
- Pulmonary and Respiratory Medicine 479
- Genetics 346
Countries citing papers authored by Steven Song
This map shows the geographic impact of Steven 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 Steven Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Song more than expected).
Fields of papers citing papers by Steven Song
This network shows the impact of papers produced by Steven 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 Steven Song. The network helps show where Steven Song may publish in the future.
Co-authorship network of co-authors of Steven Song
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Song. A scholar is included among the top collaborators of Steven 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 Steven Song. Steven 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 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 24 | |
| 5 | The role of pericytes in blood-vessel formation and maintenancebreakdown → | 1183 |
| 6 | Benefits of targeting both pericytes and endothelial cells in the tumor vasculature with kinase inhibitorsbreakdown → | 1019 |
| 7 | Benefits of targeting both pericytes and endothelial cells in the tumor vasculature with kinase inhibitorsbreakdown → | 971 |
| 8 | 10 |
About Steven Song
Steven Song is a scholar working on Cancer Research, Cardiology and Cardiovascular Medicine and Neurology, having authored 8 papers that have together received 3.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), ECG Monitoring and Analysis (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Cancer Research (853 citations), Oncology (892 citations) and Genetics (346 citations). Steven Song has collaborated with scholars based in United States and Israel. Frequent co-authors include Gabriele Bergers, Douglas Hanahan, Nicole Meyer-Morse, Emily K. Bergsland, Nathaniel Diamant, Aaron D. Aguirre, Puneet Batra, Erik Reinertsen, Collin M. Stultz and Forrester A. Lee. Their work appears in journals such as Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism and PLoS Computational Biology.
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.