Shiau-Chin Liu

435 total citations
8 papers, 355 citations indexed

About

Shiau-Chin Liu is a scholar working on Oncology, Immunology and Surgery. According to data from OpenAlex, Shiau-Chin Liu has authored 8 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Immunology and 2 papers in Surgery. Recurrent topics in Shiau-Chin Liu's work include Peptidase Inhibition and Analysis (4 papers), Chemokine receptors and signaling (4 papers) and interferon and immune responses (2 papers). Shiau-Chin Liu is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Chemokine receptors and signaling (4 papers) and interferon and immune responses (2 papers). Shiau-Chin Liu collaborates with scholars based in Taiwan and United States. Shiau-Chin Liu's co-authors include Kai‐Ping Chang, Huang‐Kai Kao, Ying Liang, Jau‐Song Yu, Yu‐Sun Chang, Lang‐Ming Chi, Tzu‐Chen Yen, Yu‐Liang Chang, Ku‐Hao Fang and Kun‐Yi Chien and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Shiau-Chin Liu

8 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shiau-Chin Liu Taiwan	8	188	147	99	83	38	8	355
Renba Liang China	10	212 1.1×	145 1.0×	57 0.6×	150 1.8×	48 1.3×	14	400
Yixin Liu China	9	158 0.8×	173 1.2×	104 1.1×	70 0.8×	10 0.3×	25	362
Jiang-Dong Sui China	11	279 1.5×	137 0.9×	91 0.9×	45 0.5×	9 0.2×	27	405
Max Partridge United Kingdom	7	148 0.8×	206 1.4×	42 0.4×	89 1.1×	88 2.3×	9	337
Simona Tortorella Italy	8	185 1.0×	107 0.7×	57 0.6×	61 0.7×	9 0.2×	12	334
Feiteng Lu China	12	118 0.6×	102 0.7×	63 0.6×	77 0.9×	7 0.2×	21	306
Cristina Quero Spain	10	175 0.9×	133 0.9×	43 0.4×	86 1.0×	29 0.8×	19	367
Yuanxi Huang China	9	180 1.0×	149 1.0×	39 0.4×	145 1.7×	11 0.3×	29	341
Yasuhiro Terazaki Japan	12	182 1.0×	191 1.3×	105 1.1×	44 0.5×	12 0.3×	21	425
Romina Zarbl Germany	12	208 1.1×	191 1.3×	171 1.7×	67 0.8×	13 0.3×	19	397

Countries citing papers authored by Shiau-Chin Liu

Since Specialization

Citations

This map shows the geographic impact of Shiau-Chin Liu'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 Shiau-Chin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiau-Chin Liu more than expected).

Fields of papers citing papers by Shiau-Chin Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiau-Chin Liu. 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 Shiau-Chin Liu. The network helps show where Shiau-Chin Liu may publish in the future.

Co-authorship network of co-authors of Shiau-Chin Liu

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

All Works

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8 of 8 papers shown

Chang, Kai‐Ping, Shih‐Jie Lin, Shiau-Chin Liu, et al.. (2015). Low-molecular-mass secretome profiling identifies HMGA2 and MIF as prognostic biomarkers for oral cavity squamous cell carcinoma. Scientific Reports. 5(1). 11689–11689. 39 indexed citations

Fang, Ku‐Hao, Huang‐Kai Kao, Lang‐Ming Chi, et al.. (2014). Overexpression of BST2 is associated with nodal metastasis and poorer prognosis in oral cavity cancer. The Laryngoscope. 124(9). E354–E360. 41 indexed citations

Chang, Kai‐Ping, Chih‐Ching Wu, Ku‐Hao Fang, et al.. (2013). Serum levels of chemokine (C-X-C motif) ligand 9 (CXCL9) are associated with tumor progression and treatment outcome in patients with oral cavity squamous cell carcinoma. Oral Oncology. 49(8). 802–807. 38 indexed citations

Hsin, Li‐Jen, Huang‐Kai Kao, I‐How Chen, et al.. (2013). Serum CXCL9 Levels Are Associated with Tumor Progression and Treatment Outcome in Patients with Nasopharyngeal Carcinoma. PLoS ONE. 8(11). e80052–e80052. 21 indexed citations

Chang, Kai‐Ping, Jau‐Song Yu, Kun‐Yi Chien, et al.. (2011). Identification of PRDX4 and P4HA2 as Metastasis-Associated Proteins in Oral Cavity Squamous Cell Carcinoma by Comparative Tissue Proteomics of Microdissected Specimens Using iTRAQ Technology. Journal of Proteome Research. 10(11). 4935–4947. 77 indexed citations

Chang, Kai‐Ping, Huang‐Kai Kao, Tzu‐Chen Yen, et al.. (2010). Overexpression of macrophage inflammatory protein-3α in oral cavity squamous cell carcinoma is associated with nodal metastasis. Oral Oncology. 47(2). 108–113. 33 indexed citations

Chang, Kai‐Ping, Huang‐Kai Kao, Ying Liang, et al.. (2010). Overexpression of Activin A in Oral Squamous Cell Carcinoma: Association with Poor Prognosis and Tumor Progression. Annals of Surgical Oncology. 17(7). 1945–1956. 49 indexed citations

Chang, Kai‐Ping, Sheng‐Po Hao, Chih‐Ching Wu, et al.. (2008). Macrophage Inflammatory Protein-3α Is a Novel Serum Marker for Nasopharyngeal Carcinoma Detection and Prediction of Treatment Outcomes. Clinical Cancer Research. 14(21). 6979–6987. 57 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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