Ka Su
Impact in
- Complementary and Manual Therapy top 10%
- Temporomandibular Joint Disorders
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- MicroRNA in disease regulation
- Breast Cancer Treatment Studies
Papers in
- Oncology 5
- Cancer Cells and Metastasis 3
-
- Breast Cancer Treatment Studies 3
- MicroRNA in disease regulation 1
- Co-authors
- Jiehua Li (2 shared papers)Jian Zeng (2 shared papers)Junqiang Chen (1 shared paper)Zhiyong Dong (1 shared paper)Wenlong Cao (2 shared papers)Jiehua Li (3 shared papers)Zhiguang Zhang (1 shared paper)Yan Li (1 shared paper)
- Journals
- Cancer Biology & Therapy (1 paper)Cancer Cell International (1 paper)Drug Resistance Updates (1 paper)Cochrane Database of Systematic Reviews (1 paper)Medical Science Monitor (1 paper)
- Partner nations
- China
In The Last Decade
Ka Su
9 papers receiving 256 citations
Peers
Comparison fields: 5 of 65
- Complementary and Manual Therapy 18
- Cancer Research 70
- Gastroenterology 18
- Oral Surgery 19
- Oncology 71
Countries citing papers authored by Ka Su
This map shows the geographic impact of Ka Su'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 Ka Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Su more than expected).
Fields of papers citing papers by Ka Su
This network shows the impact of papers produced by Ka Su. 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 Ka Su. The network helps show where Ka Su may publish in the future.
Co-authors
The 24 scholars most cited alongside Ka Su, 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 | Clinicopathological classification and traditional prognostic indicators of breast cancer. | 2015 | 71 |
| 2 | 2015 | 63 | |
| 3 | 2018 | 36 | |
| 4 | 2009 | 34 | |
| 5 | 2020 | 28 | |
| 6 | 2024 | 15 | |
| 7 | Clinico-pathological characteristics and prognostic factors of gastrointestinal stromal tumors among a Chinese population. | 2015 | 10 |
| 8 | Presence of PDGFRA and DOG1 mutations in gastrointestinal stromal tumors among Chinese population. | 2015 | 5 |
| 9 | 2020 | 2 | |
| 10 | 2019 | 0 |
About Ka Su
Ka Su is a scholar working on Oncology, Cancer Research, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 264 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Cancer Cells and Metastasis (3 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Breast Lesions and Carcinomas (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers), Microtubule and mitosis dynamics (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Complementary and Manual Therapy (18 citations), Cancer Research (70 citations), Gastroenterology (18 citations), Oral Surgery (19 citations) and Oncology (71 citations). Ka Su has collaborated with scholars based in China. Frequent co-authors include Jiehua Li, Jian Zeng, Junqiang Chen, Zhiyong Dong, Wenlong Cao, Jiehua Li, Zhiguang Zhang, Yan Li, Zhijie Xu and You-hua Zheng. Their work appears in journals such as Cancer Biology & Therapy, Cancer Cell International, Drug Resistance Updates, Cochrane Database of Systematic Reviews and Medical Science Monitor.
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.