Yingli Shang

953 total citations · 1 hit paper
8 papers, 711 citations indexed

About

Yingli Shang is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, Yingli Shang has authored 8 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Immunology. Recurrent topics in Yingli Shang's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Adipose Tissue and Metabolism (2 papers) and RNA modifications and cancer (1 paper). Yingli Shang is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Adipose Tissue and Metabolism (2 papers) and RNA modifications and cancer (1 paper). Yingli Shang collaborates with scholars based in China and United States. Yingli Shang's co-authors include Gayle M. Gordillo, Savita Khanna, Courtney Y. Kauh, Sashwati Roy, Sabyasachi Biswas, Chandan K. Sen, Eric Collard, Quan Chen, Haijing Jin and Wen Yue and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Hepatology.

In The Last Decade

Yingli Shang

8 papers receiving 698 citations

Hit Papers

Macrophage Dysfunction Impairs Resolution of Inflammation... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingli Shang China 6 296 200 154 135 88 8 711
Christian Wetzler Germany 10 518 1.8× 237 1.2× 219 1.4× 140 1.0× 134 1.5× 11 961
Barbara Deodato Italy 12 342 1.2× 256 1.3× 123 0.8× 54 0.4× 50 0.6× 17 845
Dhamodharan Umapathy India 18 231 0.8× 333 1.7× 292 1.9× 76 0.6× 54 0.6× 32 934
Ana Flávia Marçal Pessoa Brazil 12 248 0.8× 158 0.8× 141 0.9× 46 0.3× 96 1.1× 28 632
Jiezhi Dai China 16 210 0.7× 219 1.1× 178 1.2× 66 0.5× 48 0.5× 31 685
Karsten Fogh Denmark 20 175 0.6× 129 0.6× 57 0.4× 135 1.0× 72 0.8× 29 764
Carmen Valenzuela‐Silva Cuba 15 190 0.6× 161 0.8× 173 1.1× 127 0.9× 106 1.2× 27 765
Octavian Savu Romania 10 185 0.6× 266 1.3× 171 1.1× 28 0.2× 36 0.4× 23 714
Giuseppe Urna Italy 11 154 0.5× 167 0.8× 71 0.5× 83 0.6× 31 0.4× 18 501
Alok Raghav India 17 231 0.8× 301 1.5× 323 2.1× 33 0.2× 92 1.0× 42 871

Countries citing papers authored by Yingli Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yingli Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingli Shang

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

All Works

8 of 8 papers shown
1.
Liu, Cong, Peng Wang, Yu Dai, et al.. (2020). Longitudinal monitoring of multidrug resistance in Escherichia coli on broiler chicken fattening farms in Shandong, China. Poultry Science. 100(3). 100887–100887. 27 indexed citations
2.
Gao, Lei, Susu Qu, Yue Qu, et al.. (2016). Convergent evidence from systematic analysis of GWAS revealed genetic basis of esophageal cancer. Oncotarget. 7(28). 44621–44629. 3 indexed citations
3.
Shang, Yingli, et al.. (2014). Transcription repressor Hes1 is a selective regulator of TLR-induced CXCL1 expression and neutrophil responses (IRM5P.708). The Journal of Immunology. 192(Supplement_1). 62.9–62.9. 1 indexed citations
4.
Khanna, Savita, Sabyasachi Biswas, Yingli Shang, et al.. (2010). Macrophage Dysfunction Impairs Resolution of Inflammation in the Wounds of Diabetic Mice. PLoS ONE. 5(3). e9539–e9539. 504 indexed citations breakdown →
5.
Huang, Fang, Chunlai Nie, Yang Yang, et al.. (2009). Selenite induces redox-dependent Bax activation and apoptosis in colorectal cancer cells. Free Radical Biology and Medicine. 46(8). 1186–1196. 58 indexed citations
6.
Shang, Yingli, Yong Liu, Lei Du, et al.. (2009). Targeted Expression of Uncoupling Protein 2 to Mouse Liver Increases the Susceptibility to Lipopolysaccharide/Galactosamine-Induced Acute Liver Injury†. Hepatology. 50(4). 1204–1216. 50 indexed citations
7.
Zhang, Keying, Yingli Shang, Shangying Liao, et al.. (2007). Uncoupling protein 2 protects testicular germ cells from hyperthermia-induced apoptosis. Biochemical and Biophysical Research Communications. 360(2). 327–332. 31 indexed citations
8.
Liao, Xudong, Junming Liu, Lei Du, et al.. (2006). Nitric oxide signaling in stretch‐induced apoptosis of neonatal rat cardiomyocytes. The FASEB Journal. 20(11). 1883–1885. 37 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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