Song Wu
Impact in
-
- Traditional Chinese Medicine Analysis
- Pharmacology top 5%
- Pharmacological Effects of Natural Compounds
Papers in
-
- RNA modifications and cancer 4
- Glycosylation and Glycoproteins Research 3
- Biochemical and Structural Characterization 2
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 2
- Co-authors
- Yeong Shik Kim (7 shared papers)Sung Ho Son (1 shared paper)Heungsop Shin (1 shared paper)Young Wan Ha (1 shared paper)Lijia An (1 shared paper)Qiao Su (1 shared paper)Toshihiko Toida (3 shared papers)Robert J. Linhardt (3 shared papers)
- Journals
- Frontiers in Oncology (5 papers)Archives of Pharmacal Research (2 papers)Thrombosis Research (2 papers)Journal of Orthopaedic Translation (2 papers)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Song Wu
33 papers receiving 604 citations
Peers
Comparison fields: 5 of 94
- Complementary and alternative medicine 86
- Pharmacology 86
- Biotechnology 45
- Aquatic Science 36
- Molecular Biology 329
Countries citing papers authored by Song Wu
This map shows the geographic impact of Song Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Wu more than expected).
Fields of papers citing papers by Song Wu
This network shows the impact of papers produced by Song Wu. 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 Wu. The network helps show where Song Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Song Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 162 | |
| 2 | 2007 | 87 | |
| 3 | 1999 | 56 | |
| 4 | 1998 | 51 | |
| 5 | 1998 | 33 | |
| 6 | 2001 | 27 | |
| 7 | 1999 | 27 | |
| 8 | 2022 | 23 | |
| 9 | 2022 | 22 | |
| 10 | 2024 | 14 | |
| 11 | 2018 | 12 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 1997 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2022 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2025 | 6 | |
| 20 | 2024 | 6 |
About Song Wu
Song Wu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Rheumatology and Complementary and alternative medicine, having authored 34 papers that have together received 625 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Osteoarthritis Treatment and Mechanisms (6 papers), Ferroptosis and cancer prognosis (6 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Biochemical and Structural Characterization (2 papers). The work is most often cited by research in Complementary and alternative medicine (86 citations), Pharmacology (86 citations), Biotechnology (45 citations), Aquatic Science (36 citations) and Molecular Biology (329 citations). Song Wu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Yeong Shik Kim, Sung Ho Son, Heungsop Shin, Young Wan Ha, Lijia An, Qiao Su, Toshihiko Toida, Robert J. Linhardt, Bum-Soo Hahn and Junjie Huang. Their work appears in journals such as Frontiers in Oncology, Archives of Pharmacal Research, Thrombosis Research, Journal of Orthopaedic Translation and Chemical Engineering Journal.
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.