Shiliang Shen

1.6k total citations
23 papers, 1.3k citations indexed

About

Shiliang Shen is a scholar working on Molecular Biology, Reproductive Medicine and Surgery. According to data from OpenAlex, Shiliang Shen has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Reproductive Medicine and 6 papers in Surgery. Recurrent topics in Shiliang Shen's work include Sperm and Testicular Function (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Reproductive Biology and Fertility (3 papers). Shiliang Shen is often cited by papers focused on Sperm and Testicular Function (6 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Reproductive Biology and Fertility (3 papers). Shiliang Shen collaborates with scholars based in United States, China and Slovakia. Shiliang Shen's co-authors include Ben A. Barres, Anthony P. Wiemelt, F. Arthur McMorris, M. Gartz Hanson, Mark A. Kay, Leonard Meuse, Wei Xing, Tanya M. Laidlaw, Joshua A. Boyce and Ginger L. Milne and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Shiliang Shen

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiliang Shen United States 14 483 280 234 162 160 23 1.3k
Maki Ishii Japan 20 739 1.5× 239 0.9× 77 0.3× 160 1.0× 163 1.0× 45 1.5k
Marco Arese Italy 26 872 1.8× 203 0.7× 211 0.9× 107 0.7× 199 1.2× 53 1.6k
C. M. Petersen Denmark 17 667 1.4× 133 0.5× 143 0.6× 73 0.5× 199 1.2× 22 1.6k
Sébastien Blaise France 26 670 1.4× 56 0.2× 147 0.6× 397 2.5× 231 1.4× 61 1.8k
Francesca L. Sciacca Italy 21 549 1.1× 80 0.3× 285 1.2× 161 1.0× 445 2.8× 48 1.7k
Irene E. Zohn United States 22 1.3k 2.7× 110 0.4× 117 0.5× 171 1.1× 123 0.8× 42 2.0k
Steven E. Scherer United States 19 906 1.9× 83 0.3× 48 0.2× 466 2.9× 94 0.6× 37 1.9k
Kiyomi Mizugishi Japan 21 1.5k 3.2× 54 0.2× 296 1.3× 223 1.4× 566 3.5× 30 2.2k
Ruben Papoian United States 18 447 0.9× 78 0.3× 50 0.2× 119 0.7× 538 3.4× 35 1.4k
Yuka Mizue Japan 27 678 1.4× 503 1.8× 150 0.6× 114 0.7× 1.4k 8.9× 52 2.7k

Countries citing papers authored by Shiliang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Shiliang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiliang Shen. 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 Shiliang Shen. The network helps show where Shiliang Shen may publish in the future.

Co-authorship network of co-authors of Shiliang Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Shiliang Shen. A scholar is included among the top collaborators of Shiliang Shen 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 Shiliang Shen. Shiliang Shen 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.
Li, Honggang, Xingyuan Xiao, Jie Zhang, et al.. (2020). Impaired spermatogenesis in COVID-19 patients. EClinicalMedicine. 28. 100604–100604. 206 indexed citations
2.
3.
Fang, Fang, Zili Li, Qian Zhao, et al.. (2018). Derivation of human induced pluripotent stem cell line (HUSTi001-A) from a 40-year-old patient with idiopathic infertility. Stem Cell Research. 27. 136–139. 4 indexed citations
4.
Fang, Fang, Ke Ni, Qian Zhao, et al.. (2017). Busulfan administration produces toxic effects on epididymal morphology and inhibits the expression of ZO-1 and vimentin in the mouse epididymis. Bioscience Reports. 37(6). 25 indexed citations
5.
Fang, Fang, Ke Ni, Zhen Ye, et al.. (2016). Biological characters of human dermal fibroblasts derived from foreskin of male infertile patients. Tissue and Cell. 49(1). 56–63. 13 indexed citations
6.
Shen, Shiliang, Shanshan Wang, & Bin Zhou. (2016). [Investigation of Atmospheric Formaldehyde and Glyoxal Based on Differential Optical Absorption Spectroscopy].. PubMed. 36(8). 2384–90. 2 indexed citations
7.
Fang, Fang, et al.. (2015). Comparisons of Mouse Mesenchymal Stem Cells in Primary Adherent Culture of Compact Bone Fragments and Whole Bone Marrow. Stem Cells International. 2015. 1–8. 20 indexed citations
8.
Li, J., et al.. (2013). New clues to identify proteins correlated with Attractin. Andrologia. 46(7). 796–804. 4 indexed citations
9.
Jones, T. G., Lora G. Bankova, Shiliang Shen, et al.. (2013). Mast Cells Recruited to Mesenteric Lymph Nodes during Helminth Infection Remain Hypogranular and Produce IL-4 and IL-6. The Journal of Immunology. 190(4). 1758–1766. 33 indexed citations
10.
Laidlaw, Tanya M., Neil Bhattacharyya, Wei Xing, et al.. (2012). Cysteinyl leukotriene overproduction in aspirin-exacerbated respiratory disease is driven by platelet-adherent leukocytes. Blood. 119(16). 3790–3798. 195 indexed citations
11.
Liu, Tao, Tanya M. Laidlaw, Chunli Feng, et al.. (2012). Prostaglandin E2deficiency uncovers a dominant role for thromboxane A2in house dust mite-induced allergic pulmonary inflammation. Proceedings of the National Academy of Sciences. 109(31). 12692–12697. 49 indexed citations
12.
Huang, Shiyun, et al.. (2009). Attractin gene deficiency contributes to testis vacuolization and sperm dysfunction in male mice. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(6). 750–754. 3 indexed citations
13.
Aradhya, Swaroop, Chelin Hu, Shiliang Shen, et al.. (2007). Genetic analysis of attractin homologs. genesis. 45(12). 744–756. 17 indexed citations
14.
Liu, Juan, Chengliang Xiong, & Shiliang Shen. (2005). [Distribution of attractin protein and mRNA in the testis of rat of different ages].. PubMed. 11(4). 264–8. 2 indexed citations
15.
McCaffrey, Anton P., Kazuo Ohashi, Leonard Meuse, et al.. (2002). Determinants of Hepatitis C Translational Initiation in Vitro, in Cultured Cells and Mice. Molecular Therapy. 5(6). 676–684. 78 indexed citations
16.
Chen, Zhiying, et al.. (2001). Linear DNAs Concatemerize in Vivo and Result in Sustained Transgene Expression in Mouse Liver. Molecular Therapy. 3(3). 403–410. 157 indexed citations
17.
Shen, Shiliang, Anthony P. Wiemelt, F. Arthur McMorris, & Ben A. Barres. (1999). Retinal Ganglion Cells Lose Trophic Responsiveness after Axotomy. Neuron. 23(2). 285–295. 173 indexed citations
18.
Meyer‐Franke, Anke, Shiliang Shen, & Ben A. Barres. (1999). Astrocytes Induce Oligodendrocyte Processes to Align with and Adhere to Axons. Molecular and Cellular Neuroscience. 14(4-5). 385–397. 59 indexed citations
19.
Picken, Maria M. & Shiliang Shen. (1994). Immunoglobulin Light Chains and the Kidney: An Overview. Ultrastructural Pathology. 18(1-2). 105–112. 11 indexed citations
20.
Picken, Maria M. & Shiliang Shen. (1994). β2-Microglobulin Amyloidosis: Illustrative Cases. Ultrastructural Pathology. 18(1-2). 133–136. 3 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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