Song Han
- Pharmacology top 5%
- Apelin-related biomedical research 10
- Cancer Research top 10%
- MicroRNA in disease regulation 5
- Immunology top 10%
- Molecular Biology top 10%
- Extracellular vesicles in disease 7
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 13
- Cancer Immunotherapy and Biomarkers 7
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- Cardiovascular, Neuropeptides, and Oxidative Stress Research 7
- Pancreatitis Pathology and Treatment 5
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- Lipid metabolism and disorders 5
- Co-authors
- Steven J. HughesGeorge H. GreeleyElla W. EnglanderYong ZengYunjie WenHe YanGuiyun WangD.N. Cooper
- Journals
- Journal of Biological Chemistry (1 paper)SHILAP Revista de lepidopterología (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Song Han
76 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Pharmacology 293
- Cancer Research 216
- Immunology 238
- Molecular Biology 707
- Oncology 263
Countries citing papers authored by Song Han
This map shows the geographic impact of Song Han'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 Song Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Han more than expected).
Fields of papers citing papers by Song Han
This network shows the impact of papers produced by Song Han. 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 Song Han. The network helps show where Song Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 7 | |
| 6 | A one-pot isothermal Cas12-based assay for the sensitive detection of microRNAsbreakdown → | 2023 | 239 |
| 7 | 2023 | 6 | |
| 8 | 2022 | 23 | |
| 9 | 2020 | 20 | |
| 10 | 2016 | 23 | |
| 11 | 2016 | 15 | |
| 12 | 2015 | 31 | |
| 13 | 2015 | 1 | |
| 14 | 2014 | 27 | |
| 15 | Non-Canonical VEGF Receptor Signaling Regulates Retinal Neovascularization | 2012 | 1 |
| 16 | 2011 | 39 | |
| 17 | 2011 | 23 | |
| 18 | 2009 | 49 | |
| 19 | 2004 | 6 | |
| 20 | 2003 | 19 |
About Song Han
Song Han is a scholar working on Oncology, Pharmacology and Immunology, having authored 81 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Apelin-related biomedical research (10 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (5 papers), Pancreatitis Pathology and Treatment (5 papers) and Lipid metabolism and disorders (5 papers). The work is most often cited by research in Pharmacology (293 citations), Cancer Research (216 citations) and Immunology (238 citations). Song Han has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven J. Hughes, George H. Greeley, Ella W. Englander, Yong Zeng, Yunjie Wen, He Yan, Guiyun Wang, D.N. Cooper, José G. Treviño and Meena Upadhyaya. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied Physics Letters.
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.