Shang‐Yun Liu

830 total citations
9 papers, 364 citations indexed

About

Shang‐Yun Liu is a scholar working on Molecular Biology, Global and Planetary Change and Surgery. According to data from OpenAlex, Shang‐Yun Liu has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Global and Planetary Change and 2 papers in Surgery. Recurrent topics in Shang‐Yun Liu's work include Marine Ecology and Invasive Species (3 papers), Planarian Biology and Electrostimulation (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Shang‐Yun Liu is often cited by papers focused on Marine Ecology and Invasive Species (3 papers), Planarian Biology and Electrostimulation (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). Shang‐Yun Liu collaborates with scholars based in Taiwan, Germany and China. Shang‐Yun Liu's co-authors include Jochen C. Rink, HongKee Moon, Miquel Vila‐Farré, Holger Brandl, Ian Henry, Jiin‐Haur Chuang, Tsung‐Hui Hu, Chao‐Cheng Huang, Chi‐Sin Changchien and Frank Jülicher and has published in prestigious journals such as Nucleic Acids Research, Cancer and Developmental Cell.

In The Last Decade

Shang‐Yun Liu

8 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shang‐Yun Liu Taiwan	6	315	143	73	51	36	9	364
Fabrice Daian France	13	450 1.4×	93 0.7×	17 0.2×	11 0.2×	76 2.1×	21	611
Florencia Del Viso United States	10	468 1.5×	39 0.3×	63 0.9×	60 1.2×	39 1.1×	18	587
Ryan D. Mohan United States	13	417 1.3×	44 0.3×	31 0.4×	17 0.3×	35 1.0×	22	474
Ana Neto Spain	10	445 1.4×	60 0.4×	111 1.5×	31 0.6×	29 0.8×	12	531
Mohamed Bouzaffour France	5	200 0.6×	27 0.2×	16 0.2×	27 0.5×	30 0.8×	7	336
Linda Mannini Italy	17	714 2.3×	157 1.1×	130 1.8×	47 0.9×	43 1.2×	21	803
Jennifer Weiss United States	7	209 0.7×	143 1.0×	70 1.0×	47 0.9×	11 0.3×	12	292
Kevin Dobretz Switzerland	3	290 0.9×	88 0.6×	17 0.2×	154 3.0×	21 0.6×	10	409
Qingnan Tian China	11	302 1.0×	74 0.5×	40 0.5×	35 0.7×	40 1.1×	30	387
Jaclyn J. Ho United States	7	522 1.7×	119 0.8×	46 0.6×	36 0.7×	220 6.1×	9	601

Countries citing papers authored by Shang‐Yun Liu

Since Specialization

Citations

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

Fields of papers citing papers by Shang‐Yun Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Yun 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 Shang‐Yun Liu. The network helps show where Shang‐Yun Liu may publish in the future.

Co-authorship network of co-authors of Shang‐Yun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Yun Liu. A scholar is included among the top collaborators of Shang‐Yun 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 Shang‐Yun Liu. Shang‐Yun Liu 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:

9 of 9 papers shown

1.

Chung, Wei‐Pang, et al.. (2023). Real-life analysis of neoadjuvant-therapy-associated benefits for pathological complete response and survival in early breast cancer patients - role of trastuzumab in HER2+ BC and platinum in TNBC. Frontiers in Oncology. 12. 1022994–1022994.

2.

Wang, Meng, et al.. (2022). Selective Interactions of Mouse Melanocortin Receptor Accessory Proteins with Somatostatin Receptors. Cells. 11(2). 267–267. 5 indexed citations

3.

Liu, Shang‐Yun & Jochen C. Rink. (2018). Total RNA Isolation from Planarian Tissues. Methods in molecular biology. 1774. 259–265. 4 indexed citations

4.

Werner, Steffen, Hanh Thi-Kim Vu, Shang‐Yun Liu, et al.. (2017). Antagonistic Self-Organizing Patterning Systems Control Maintenance and Regeneration of the Anteroposterior Axis in Planarians. Developmental Cell. 40(3). 248–263.e4. 90 indexed citations

5.

Brandl, Holger, HongKee Moon, Miquel Vila‐Farré, et al.. (2015). PlanMine – a mineable resource of planarian biology and biodiversity. Nucleic Acids Research. 44(D1). D764–D773. 110 indexed citations

6.

Chiu, Yi‐Chun, Jui‐Wei Lin, Chi‐Sin Changchien, et al.. (2005). Clinicopathological characteristics and prognosis of patients with small intestinal stromal tumors.. PubMed. 104(12). 905–12. 4 indexed citations

7.

Hu, Tsung‐Hui, et al.. (2004). Increased endostatin/collagen XVIII expression correlates with elevated VEGF level and poor prognosis in hepatocellular carcinoma. Modern Pathology. 18(5). 663–672. 38 indexed citations

8.

Hu, Tsung‐Hui, Chao‐Cheng Huang, Lifeng Liu, et al.. (2003). Expression of hepatoma‐derived growth factor in hepatocellular carcinoma. Cancer. 98(7). 1444–1456. 104 indexed citations

9.

Hu, Tsung‐Hui, Jui‐Wei Lin, Chi‐Sin Changchien, et al.. (2003). Immunohistochemical analyses of gastric stromal tumors in Taiwanese.. PubMed. 102(10). 707–14. 9 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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