Shi Yu Yang

6.9k total citations
42 papers, 2.2k citations indexed

About

Shi Yu Yang is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shi Yu Yang has authored 42 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Surgery and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shi Yu Yang's work include Muscle Physiology and Disorders (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Shi Yu Yang is often cited by papers focused on Muscle Physiology and Disorders (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers) and Cancer, Hypoxia, and Metabolism (6 papers). Shi Yu Yang collaborates with scholars based in United Kingdom, China and United States. Shi Yu Yang's co-authors include Geoffrey Goldspink, Alexander M. Seifalian, Barry Fuller, Mahmoud Abu‐Amara, Brian R Davidson, Niteen Tapuria, Afshin Mosahebi, Marc C. Winslet, Amit Pabari and Godfrina McKoy and has published in prestigious journals such as The Journal of Physiology, The FASEB Journal and FEBS Letters.

In The Last Decade

Shi Yu Yang

42 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shi Yu Yang United Kingdom 22 1.1k 498 359 356 296 42 2.2k
Chung‐Hyun Cho South Korea 32 1.8k 1.5× 375 0.8× 431 1.2× 179 0.5× 228 0.8× 87 3.5k
Fernando Ezquer Chile 28 864 0.8× 626 1.3× 336 0.9× 92 0.3× 263 0.9× 78 2.2k
Wei Zheng China 33 1.8k 1.6× 526 1.1× 477 1.3× 303 0.9× 160 0.5× 88 3.6k
Sergio Caballero United States 38 2.4k 2.1× 408 0.8× 302 0.8× 315 0.9× 149 0.5× 99 4.5k
Kenichi Yamahara Japan 36 1.2k 1.0× 1.1k 2.2× 363 1.0× 87 0.2× 299 1.0× 92 3.3k
Marcelo Ezquer Chile 26 867 0.8× 623 1.3× 349 1.0× 68 0.2× 261 0.9× 78 2.2k
Denis Calise France 31 1.2k 1.0× 1.0k 2.0× 268 0.7× 146 0.4× 242 0.8× 74 3.4k
Atsushi Ishida Japan 19 1.8k 1.6× 736 1.5× 348 1.0× 284 0.8× 188 0.6× 68 3.4k
Michael P. Czubryt Canada 28 1.8k 1.5× 415 0.8× 500 1.4× 239 0.7× 181 0.6× 74 3.0k
Laurent Muller France 30 1.4k 1.2× 505 1.0× 290 0.8× 524 1.5× 304 1.0× 67 2.8k

Countries citing papers authored by Shi Yu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shi Yu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shi Yu Yang. 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 Shi Yu Yang. The network helps show where Shi Yu Yang may publish in the future.

Co-authorship network of co-authors of Shi Yu Yang

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

All Works

20 of 20 papers shown
1.
Alagaratnam, Swethan, Marilena Loizidou, Shi Yu Yang, Barry Fuller, & Balasubramaniam Ramesh. (2020). Increased expression of IGF-1Ec with increasing colonic polyp dysplasia and colorectal cancer. Journal of Cancer Research and Clinical Oncology. 146(11). 2861–2870. 8 indexed citations
2.
Seifalian, Alexander M., et al.. (2014). Near-infrared quantum dots for HER2 localization and imaging of cancer cells. International Journal of Nanomedicine. 9. 1323–1323. 54 indexed citations
3.
4.
Abu‐Amara, Mahmoud, Shi Yu Yang, Alberto Quaglia, et al.. (2011). Role of endothelial nitric oxide synthase in remote ischemic preconditioning of the mouse liver. Liver Transplantation. 17(5). 610–619. 53 indexed citations
5.
Yang, Shi Yu, et al.. (2011). Nerve regeneration with aid of nanotechnology and cellular engineering. Biotechnology and Applied Biochemistry. 58(5). 288–300. 21 indexed citations
6.
Abu‐Amara, Mahmoud, Shi Yu Yang, Niteen Tapuria, et al.. (2010). Liver ischemia/reperfusion injury: Processes in inflammatory networks—A review. Liver Transplantation. 16(9). 1016–1032. 289 indexed citations
7.
Pabari, Amit, Shi Yu Yang, Alexander M. Seifalian, & Afshin Mosahebi. (2010). Modern surgical management of peripheral nerve gap. Journal of Plastic Reconstructive & Aesthetic Surgery. 63(12). 1941–1948. 126 indexed citations
8.
Evans, Richard, Stephen D. R. Harridge, Cristiana P. Velloso, et al.. (2010). Investigation of MGF mRNA expression in patients with amyotrophic lateral sclerosis using parallel in vivo and in vitro approaches. Amyotrophic Lateral Sclerosis. 11(1-2). 172–177. 3 indexed citations
9.
Yang, Shi Yu. (2010). Growth Factors and their receptors in cancer metastases. Frontiers in bioscience. 16(1). 531–531. 35 indexed citations
10.
Yang, Shi Yu, et al.. (2009). IGF-I activates caspases 3/7, 8 and 9 but does not induce cell death in colorectal cancer cells. BMC Cancer. 9(1). 158–158. 11 indexed citations
11.
Yang, Shi Yu, et al.. (2008). An in vivo rat model for early development of colorectal cancer metastasis to liver. International Journal of Experimental Pathology. 89(6). 447–457. 10 indexed citations
12.
Yang, Shi Yu, Kevin M. Sales, Barry Fuller, Alexander M. Seifalian, & Marc C. Winslet. (2008). Inducing apoptosis of human colon cancer cells by an IGF-I D domain analogue peptide. Molecular Cancer. 7(1). 17–17. 14 indexed citations
13.
Sarkar, Sandip, et al.. (2007). In vivo models for early development of colorectal liver metastasis. International Journal of Experimental Pathology. 89(1). 1–12. 14 indexed citations
14.
Ateş, Kenan, Shi Yu Yang, Richard W. Orrell, et al.. (2007). The IGF‐I splice variant MGF increases progenitor cells in ALS, dystrophic, and normal muscle. FEBS Letters. 581(14). 2727–2732. 87 indexed citations
15.
McKoy, Godfrina, et al.. (2005). Expression of Ankrd2 in fast and slow muscles and its response to stretch are consistent with a role in slow muscle function. Journal of Applied Physiology. 98(6). 2337–2343. 33 indexed citations
16.
Cortes, Eduardo, M Hameed, Stephen D. R. Harridge, et al.. (2005). Insulin-like growth factor–1 gene splice variants as markers of muscle damage in levator ani muscle after the first vaginal delivery. American Journal of Obstetrics and Gynecology. 193(1). 64–70. 18 indexed citations
17.
Yang, Shi Yu & Geoffrey Goldspink. (2002). Different roles of the IGF‐I Ec peptide (MGF) and mature IGF‐I in myoblast proliferation and differentiation. FEBS Letters. 522(1-3). 156–160. 265 indexed citations
18.
Goldspink, Geoffrey & Shi Yu Yang. (2001). Effects of Activity on Growth Factor Expression. International Journal of Sport Nutrition and Exercise Metabolism. 11(s1). S21–S27. 21 indexed citations
19.
20.
McKoy, Godfrina, William W. Ashley, Shi Yu Yang, et al.. (1999). Expression of insulin growth factor‐1 splice variants and structural genes in rabbit skeletal muscle induced by stretch and stimulation. The Journal of Physiology. 516(2). 583–592. 224 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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