Yu-Gang Song

666 total citations · 1 hit paper
10 papers, 519 citations indexed

About

Yu-Gang Song is a scholar working on Surgery, Molecular Biology and Cell Biology. According to data from OpenAlex, Yu-Gang Song has authored 10 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Yu-Gang Song's work include Helicobacter pylori-related gastroenterology studies (5 papers), Ion Transport and Channel Regulation (2 papers) and Gastric Cancer Management and Outcomes (2 papers). Yu-Gang Song is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (5 papers), Ion Transport and Channel Regulation (2 papers) and Gastric Cancer Management and Outcomes (2 papers). Yu-Gang Song collaborates with scholars based in China. Yu-Gang Song's co-authors include Hongying Gao, Xiuyun Sun, Ming He, Yiqing Yang, Yue Wu, Yan Tong, Yu Rao, Yongli Yao, Tong Zhao and Xia Wang and has published in prestigious journals such as World Journal of Gastroenterology, Signal Transduction and Targeted Therapy and Digestive Diseases and Sciences.

In The Last Decade

Yu-Gang Song

8 papers receiving 509 citations

Hit Papers

PROTACs: great opportunities for academia and industry 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu-Gang Song China 4 440 200 101 29 28 10 519
Chu Myong Seong South Korea 12 360 0.8× 133 0.7× 119 1.2× 38 1.3× 32 1.1× 30 511
Seemana Bhattacharya United States 11 402 0.9× 168 0.8× 72 0.7× 30 1.0× 17 0.6× 23 483
Ju In Eom South Korea 8 362 0.8× 121 0.6× 118 1.2× 29 1.0× 26 0.9× 10 475
Jihui Qiu United States 13 393 0.9× 73 0.4× 137 1.4× 17 0.6× 20 0.7× 16 513
Maria Nyåkern Italy 7 426 1.0× 82 0.4× 173 1.7× 40 1.4× 20 0.7× 11 585
Sourik S. Ganguly United States 10 244 0.6× 142 0.7× 75 0.7× 26 0.9× 25 0.9× 15 403
Aaron M. Domina United States 6 353 0.8× 143 0.7× 54 0.5× 36 1.2× 13 0.5× 9 429
François Béliveau Canada 12 179 0.4× 71 0.4× 110 1.1× 23 0.8× 16 0.6× 17 394
Marty J. Heslin United States 5 245 0.6× 104 0.5× 37 0.4× 15 0.5× 33 1.2× 7 329
Marja Dubay United States 11 477 1.1× 168 0.8× 124 1.2× 16 0.6× 43 1.5× 14 567

Countries citing papers authored by Yu-Gang Song

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Gang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Gang Song. 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 Yu-Gang Song. The network helps show where Yu-Gang Song may publish in the future.

Co-authorship network of co-authors of Yu-Gang Song

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

All Works

10 of 10 papers shown
2.
Sun, Xiuyun, Hongying Gao, Yiqing Yang, et al.. (2019). PROTACs: great opportunities for academia and industry. Signal Transduction and Targeted Therapy. 4(1). 64–64. 462 indexed citations breakdown →
3.
Wu, Wenkai, et al.. (2016). Field precision machining technology of target chamber in ICF lasers. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9682. 96820G–96820G. 1 indexed citations
4.
Chen, Xueqing, et al.. (2011). Reduced secretion of epidermal growth factor in duodenal ulcer patients with Helicobacter pylori infection. World Journal of Gastroenterology. 3(1). 31–31.
5.
Wang, Xia, Ye Chen, Yu-Gang Song, et al.. (2010). Activated Syndecan-1 Shedding Contributes to Mice Colitis Induced by Dextran Sulfate Sodium. Digestive Diseases and Sciences. 56(4). 1047–1056. 17 indexed citations
6.
Wang, Xia, et al.. (2008). [Syndecan-1 expression and its significance in colitis].. PubMed. 88(36). 2574–7. 2 indexed citations
7.
Song, Yu-Gang, et al.. (2007). [Selective COX-2 inhibitor delays experimental gastric ulcer healing by stimulating gastric acid secretion in rats].. PubMed. 27(7). 1015–7. 1 indexed citations
8.
Song, Yu-Gang, et al.. (2004). Alterations of gastrin, somatostatin, G and D cells in rat gastric ulcer. World Chinese Journal of Digestology. 12(2). 363–363. 2 indexed citations
9.
Song, Yu-Gang, et al.. (2002). Gastrin, somatostatin, G and D cells of gastric ulcer in rats. World Journal of Gastroenterology. 8(2). 375–375. 31 indexed citations
10.
Yao, Yongli, et al.. (2002). [Effect of Helicobacter pylori infection on gastric mucosal cell proliferation in Mongolian gerbils].. PubMed. 22(4). 348–50, 365. 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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