Ka Su

461 total citations
10 papers, 264 citations indexed

About

Ka Su is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Ka Su has authored 10 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 5 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Ka Su's work include Cancer Cells and Metastasis (3 papers), Breast Cancer Treatment Studies (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Ka Su is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Breast Cancer Treatment Studies (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Ka Su collaborates with scholars based in China. Ka Su's co-authors include Jiehua Li, Jian Zeng, Junqiang Chen, Zhiyong Dong, Wenlong Cao, Zhiguang Zhang, Jiehua Li, Zhijie Xu, You-hua Zheng and Yan Li and has published in prestigious journals such as Cochrane Database of Systematic Reviews, Drug Resistance Updates and Cancer Biology & Therapy.

In The Last Decade

Ka Su

9 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ka Su China	7	94	81	76	71	70	10	264
Lampros Goutzanis Greece	10	55 0.6×	113 1.4×	39 0.5×	67 0.9×	20 0.3×	23	283
Chan Sub Park South Korea	11	52 0.6×	75 0.9×	30 0.4×	59 0.8×	78 1.1×	37	285
Hirochika Matsubara Japan	10	134 1.4×	75 0.9×	182 2.4×	72 1.0×	41 0.6×	52	354
Dian Ren China	12	95 1.0×	45 0.6×	165 2.2×	136 1.9×	76 1.1×	26	325
Sandy Azoulay France	8	147 1.6×	104 1.3×	147 1.9×	125 1.8×	97 1.4×	10	356
Thomas C. Putti Singapore	12	80 0.9×	75 0.9×	90 1.2×	140 2.0×	61 0.9×	16	367
Jarrett Walsh United States	10	46 0.5×	95 1.2×	40 0.5×	87 1.2×	24 0.3×	25	249
Masayuki Urabe Japan	10	91 1.0×	178 2.2×	136 1.8×	136 1.9×	51 0.7×	35	357
Cunxian Zhang United States	11	60 0.6×	34 0.4×	34 0.4×	71 1.0×	63 0.9×	30	347
Haipeng Guo China	9	78 0.8×	90 1.1×	42 0.6×	63 0.9×	59 0.8×	23	253

Countries citing papers authored by Ka Su

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ka Su

This figure shows the co-authorship network connecting the top 25 collaborators of Ka Su. A scholar is included among the top collaborators of Ka Su 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 Ka Su. Ka Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Su, Ka, et al.. (2024). RGS5+ lymphatic endothelial cells facilitate metastasis and acquired drug resistance of breast cancer through oxidative stress-sensing mechanism. Drug Resistance Updates. 77. 101149–101149. 15 indexed citations

2.

Luo, Ming, et al.. (2020). Analysis of factors related to N2- or N3-stage breast cancer associated with 1–2 positive sentinel lymph nodes in Chinese patients. Translational Cancer Research. 9(4). 2249–2258. 2 indexed citations

3.

Li, Yan, et al.. (2020). Circ_LDLR promoted the development of papillary thyroid carcinoma via regulating miR-195-5p/LIPH axis. Cancer Cell International. 20(1). 241–241. 28 indexed citations

4.

Luo, Ming, et al.. (2019). Comparison of 21-gene assay and St.Gallen International Expert Consensus in the treatment decision for patients with early invasive breast cancers. Cancer Biology & Therapy. 21(2). 108–112.

5.

Wang, Xiangkun, Xiwen Liao, Chuangye Han, et al.. (2018). Distinct Diagnostic and Prognostic Values of Kinesin Family Member Genes Expression in Patients with Breast Cancer. Medical Science Monitor. 24. 9442–9464. 36 indexed citations

6.

Li, Jiehua, et al.. (2015). Presence of PDGFRA and DOG1 mutations in gastrointestinal stromal tumors among Chinese population.. PubMed. 8(5). 5721–6. 5 indexed citations

7.

Chen, Junqiang, et al.. (2015). Abdominal drainage versus no drainage post-gastrectomy for gastric cancer. Cochrane Database of Systematic Reviews. 2015(5). CD008788–CD008788. 63 indexed citations

8.

Li, Jiehua, et al.. (2015). Clinicopathological classification and traditional prognostic indicators of breast cancer.. PubMed. 8(7). 8500–5. 71 indexed citations

9.

Li, Jiehua, et al.. (2015). Clinico-pathological characteristics and prognostic factors of gastrointestinal stromal tumors among a Chinese population.. PubMed. 8(12). 15969–76. 10 indexed citations

10.

Xu, Zhijie, et al.. (2009). Bilateral coronoid hyperplasia (Jacob disease on right and elongation on left): report of a case and literature review. Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology. 107(3). e64–e67. 34 indexed citations

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.

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