Ge Wang

512 total citations
10 papers, 403 citations indexed

About

Ge Wang is a scholar working on Surgery, Molecular Biology and Ophthalmology. According to data from OpenAlex, Ge Wang has authored 10 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Molecular Biology and 2 papers in Ophthalmology. Recurrent topics in Ge Wang's work include Helicobacter pylori-related gastroenterology studies (4 papers), Galectins and Cancer Biology (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Ge Wang is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (4 papers), Galectins and Cancer Biology (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). Ge Wang collaborates with scholars based in China, Canada and United States. Ge Wang's co-authors include Diane E. Taylor, Praveen Alamuri, Robert J. Maier, M. Zafri Humayun, Monica M. Palcic, David A. Rasko, Yabo Wang, Chao Jie Zhen, Bing Ma and Bart Hazes and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Microbiology and Trends in Microbiology.

In The Last Decade

Ge Wang

9 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Wang China 6 216 149 120 75 67 10 403
Mohammod Raziul Haque Bangladesh 10 320 1.5× 132 0.9× 99 0.8× 47 0.6× 37 0.6× 35 525
Meeme Utt Estonia 13 158 0.7× 100 0.7× 109 0.9× 31 0.4× 52 0.8× 23 387
Michael C. Blanco United States 11 134 0.6× 125 0.8× 73 0.6× 45 0.6× 66 1.0× 14 424
Anthony H.T. Jeremy United Kingdom 9 153 0.7× 72 0.5× 113 0.9× 44 0.6× 22 0.3× 12 847
Tone Tannæs Norway 11 146 0.7× 194 1.3× 75 0.6× 34 0.5× 33 0.5× 17 461
Linda E. Rosenthal United States 8 231 1.1× 85 0.6× 60 0.5× 47 0.6× 50 0.7× 11 454
Sung Sook Choi South Korea 12 236 1.1× 125 0.8× 126 1.1× 58 0.8× 30 0.4× 25 460
Brendan Dolan Sweden 12 124 0.6× 156 1.0× 75 0.6× 27 0.4× 42 0.6× 16 377
Jeroen H B van de Bovenkamp Netherlands 8 220 1.0× 104 0.7× 99 0.8× 22 0.3× 19 0.3× 11 333
Raksawan Deenonpoe Thailand 9 94 0.4× 126 0.8× 36 0.3× 53 0.7× 29 0.4× 18 441

Countries citing papers authored by Ge Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ge Wang. A scholar is included among the top collaborators of Ge Wang 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 Ge Wang. Ge Wang 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
1.
Hu, Feng, Qian Li, Jie Shi, et al.. (2023). Paradoxical autosomal recessive bestrophinopathy-like phenotypes shown in an autosomal dominant pedigree. European Journal of Ophthalmology. 33(6). 2131–2138.
2.
Xiao, Bin, Qiqi Huang, Shuang Chen, et al.. (2022). Comparison on chemical features and antioxidant activity of polysaccharides from Auricularia auricula by three different enzymes. Journal of Food Biochemistry. 46(5). e14051–e14051. 5 indexed citations
3.
Wang, Ge, et al.. (2020). A Review of Clinical Applications and Side Effects of Methotrexate in Ophthalmology. Journal of Ophthalmology. 2020. 1–11. 22 indexed citations
4.
Wang, Yabo, Chao Jie Zhen, Rui Wang, & Ge Wang. (2019). Growth-differentiation factor-15 predicts adverse cardiac events in patients with acute coronary syndrome: A meta-analysis. The American Journal of Emergency Medicine. 37(7). 1346–1352. 26 indexed citations
5.
Wang, Ge, et al.. (2018). Simple and Rapid Determination of Paracetamol in Oral Pharmaceutical Preparations by a Home-use Glucometer for Paediatric Subministration. Current Pharmaceutical Analysis. 14(4). 355–359. 1 indexed citations
6.
Wang, Ge, Praveen Alamuri, & Robert J. Maier. (2006). The diverse antioxidant systems of Helicobacter pylori. Molecular Microbiology. 61(4). 847–860. 146 indexed citations
7.
Zhang, Wei, et al.. (2006). [Soil carbohydrates: their determination methods and indication functions].. PubMed. 17(8). 1535–8. 1 indexed citations
8.
Ma, Bing, Ge Wang, Monica M. Palcic, Bart Hazes, & Diane E. Taylor. (2003). C-terminal Amino Acids of Helicobacter pylori α1,3/4 Fucosyltransferases Determine Type I and Type II Transfer. Journal of Biological Chemistry. 278(24). 21893–21900. 37 indexed citations
9.
Rasko, David A., Ge Wang, Monica M. Palcic, & Diane E. Taylor. (2000). Cloning and Characterization of the α(1,3/4) Fucosyltransferase of Helicobacter pylori. Journal of Biological Chemistry. 275(7). 4988–4994. 73 indexed citations
10.
Wang, Ge, M. Zafri Humayun, & Diane E. Taylor. (1999). Mutation as an origin of genetic variability in Helicobacter pylori. Trends in Microbiology. 7(12). 488–493. 92 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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