Shumei Song
- Cancer Research top 2%
- Oncology top 2%
- Peptidase Inhibition and Analysis 9
- Pancreatic and Hepatic Oncology Research 7
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ 12
- Molecular Biology top 5%
- Cancer-related gene regulation 11
- Gastroenterology top 5%
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- Gastric Cancer Management and Outcomes 15
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- Esophageal Cancer Research and Treatment 9
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- Galectins and Cancer Biology 9
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- Cancer Mechanisms and Therapy 7
- Co-authors
- Jaffer A. AjaniRobert S. BresalierRandy L. JohnsonRoopma WadhwaZhenning WangAiling W. ScottYelena Y. JanjigianTakeshi Sano
- Cited by
- Cancer ResearchOncologyCell Biology
- Journals
- Nature (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Shumei Song
78 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 805
- Oncology 1.3k
- Cell Biology 653
- Molecular Biology 2.3k
- Gastroenterology 163
Countries citing papers authored by Shumei Song
This map shows the geographic impact of Shumei 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 Shumei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shumei Song more than expected).
Fields of papers citing papers by Shumei Song
This network shows the impact of papers produced by Shumei 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 Shumei Song. The network helps show where Shumei Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shumei Song, 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 | 8 | |
| 3 | 2024 | 17 | |
| 4 | 2023 | 22 | |
| 5 | 2023 | 8 | |
| 6 | Drug resistance and Cancer stem cellsbreakdown → | 2021 | 226 |
| 7 | 2020 | 20 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 16 | |
| 11 | 2019 | 23 | |
| 12 | 2017 | 141 | |
| 13 | 2017 | 25 | |
| 14 | 2015 | 200 | |
| 15 | 2015 | 31 | |
| 16 | 2015 | 3 | |
| 17 | 2014 | 211 | |
| 18 | 2013 | 57 | |
| 19 | 2013 | 83 | |
| 20 | 2009 | 15 |
About Shumei Song
Shumei Song is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine, having authored 80 papers that have together received 3.9k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (15 papers), Hippo pathway signaling and YAP/TAZ (12 papers), Cancer-related gene regulation (11 papers), Esophageal Cancer Research and Treatment (9 papers), Peptidase Inhibition and Analysis (9 papers), Galectins and Cancer Biology (9 papers), Pancreatic and Hepatic Oncology Research (7 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Cancer Research (805 citations), Oncology (1.3k citations) and Cell Biology (653 citations). Shumei Song has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jaffer A. Ajani, Robert S. Bresalier, Randy L. Johnson, Roopma Wadhwa, Zhenning Wang, Ailing W. Scott, Yelena Y. Janjigian, Takeshi Sano, Jeeyun Lee and Daiming Fan. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.