Guangxi Wang

3.4k total citations
127 papers, 2.4k citations indexed

About

Guangxi Wang is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Guangxi Wang has authored 127 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 30 papers in Plant Science and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Guangxi Wang's work include Antibiotic Resistance in Bacteria (13 papers), Weed Control and Herbicide Applications (11 papers) and Plant and animal studies (8 papers). Guangxi Wang is often cited by papers focused on Antibiotic Resistance in Bacteria (13 papers), Weed Control and Herbicide Applications (11 papers) and Plant and animal studies (8 papers). Guangxi Wang collaborates with scholars based in China, Japan and United States. Guangxi Wang's co-authors include Michael Hochberg, Larry R. Dalton, Axel Scherer, Rhys Lawson, Alex K.‐Y. Jen, Thomas Baehr-Jones, Tom Baehr‐Jones, Kazuyuki Itoh, Yi Liao and Philip A. Sullivan and has published in prestigious journals such as Nature Communications, Nature Materials and SHILAP Revista de lepidopterología.

In The Last Decade

Guangxi Wang

119 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guangxi Wang China 26 668 508 374 369 284 127 2.4k
Chun‐Hua Hsu Taiwan 28 1.2k 1.7× 200 0.4× 145 0.4× 62 0.2× 70 0.2× 120 2.3k
Shan Sun China 35 1.9k 2.9× 219 0.4× 765 2.0× 81 0.2× 133 0.5× 135 4.2k
Clyde A. Smith United States 38 2.8k 4.3× 114 0.2× 391 1.0× 185 0.5× 764 2.7× 133 5.0k
Trushar R. Patel Canada 29 1.7k 2.5× 82 0.2× 340 0.9× 65 0.2× 87 0.3× 108 3.5k
Robert A. Cox United Kingdom 35 2.8k 4.2× 144 0.3× 223 0.6× 177 0.5× 105 0.4× 182 4.6k
Yafei Huang China 32 1.7k 2.6× 178 0.4× 220 0.6× 29 0.1× 117 0.4× 114 3.6k
Deping Wang China 35 1.6k 2.4× 351 0.7× 109 0.3× 31 0.1× 65 0.2× 145 4.3k
Lutz Schmitt Germany 42 3.1k 4.7× 184 0.4× 427 1.1× 219 0.6× 754 2.7× 175 6.0k
Cosmin Mihai Romania 31 2.4k 3.6× 194 0.4× 381 1.0× 41 0.1× 43 0.2× 95 4.4k
Pooria Gill Iran 22 1.2k 1.7× 120 0.2× 135 0.4× 106 0.3× 31 0.1× 79 2.4k

Countries citing papers authored by Guangxi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guangxi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangxi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangxi Wang. A scholar is included among the top collaborators of Guangxi 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 Guangxi Wang. Guangxi Wang 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.
Zhu, Meng, et al.. (2025). Now and future of artificial intelligence-based signet ring cell diagnosis: A survey. Expert Systems with Applications. 296. 129188–129188.
2.
Chen, Jinming, et al.. (2025). The Monochoria genome provides insights into the molecular mechanisms underlying floral heteranthery. Journal of genetics and genomics. 52(6). 826–838.
3.
Guo, Limei, Yang Li, Guangze Zhang, et al.. (2024). CD36+ Proinflammatory Macrophages Interact with ZCCHC12+ Tumor Cells in Papillary Thyroid Cancer Promoting Tumor Progression and Recurrence. Cancer Immunology Research. 12(11). 1621–1639. 4 indexed citations
4.
Wang, Peiyu, Guangxi Wang, Haoran Li, et al.. (2024). Nicotinamide N‐methyltransferase negatively regulates metastasis‐promoting property of cancer‐associated fibroblasts in lung adenocarcinoma. Cancer Communications. 45(2). 110–137. 4 indexed citations
5.
Xu, Jiancheng, Yang Liu, Juan Luo, et al.. (2024). CircPTEN-MT from PTEN regulates mitochondrial energy metabolism. Journal of genetics and genomics. 51(5). 531–542. 6 indexed citations
6.
Wang, Yunmei, Guangxi Wang, Xiang Wang, et al.. (2024). Analysis of TLR2 in Primary Endocrine Resistant of Breast Cancer. Frontiers in Bioscience-Landmark. 29(2). 81–81. 1 indexed citations
7.
Wang, Guangxi, Jinglong Yan, Hao Zhang, et al.. (2021). Transient activation of notch signaling enhances endogenous stromal cell expansion and subsequent bone defect repair. Journal of Orthopaedic Translation. 31. 26–32. 3 indexed citations
8.
Lai, Wanchang, et al.. (2020). Based on Differential Evolution Algorithm X Fluorescence Peak Overlapping Decomposition. Guangpuxue yu guangpu fenxi. 40(7). 2301. 1 indexed citations
9.
Gao, Mei, Rosemary Sang, Guangxi Wang, & Yan Xu. (2019). Association of pvl gene with incomplete hemolytic phenotype in clinical Staphylococcus aureus. SHILAP Revista de lepidopterología. 1 indexed citations
10.
Yang, Yi, Xinghong Zhao, Xu Song, et al.. (2018). Effect of Resveratrol Dry Suspension on Immune Function of Piglets. Evidence-based Complementary and Alternative Medicine. 2018(1). 5952707–5952707. 25 indexed citations
11.
Tian, Wei, et al.. (2015). Antioxidant activity in vitro of endophytic fungi from Myricaria laxiflora, a riparian plant with strong tolerance ability of flooding. Journal of Pure and Applied Microbiology. 9(1). 87–95. 5 indexed citations
12.
Wan, Tao, et al.. (2014). Comparison of genetic variation between the seed bank and above ground vegetation of a wetland species. Biochemical Systematics and Ecology. 56. 144–150. 4 indexed citations
13.
Wang, Guangxi, et al.. (2006). Flower arrangement patterns of three paddy weeds, Lindernia procumbens, L. dubia subsp. dubia and L. dubia subsp. major. Journal of Weed Science and Technology. 51(2). 82–86. 1 indexed citations
14.
Wang, Guangxi, et al.. (2006). . Journal of Weed Science and Technology. 51(2). 82–86. 1 indexed citations
15.
Wang, Guangxi, Wei Li, Xiaochun Wan, & Misako Ito. (2003). Monochoria vaginalis var. angustifolia，a new variety of the Pontederiaceae from Thailand. Journal of Systematics and Evolution. 41(6). 569–572. 3 indexed citations
16.
Uchino, Akira, Kazuyuki Itoh, Guangxi Wang, & Masaaki Tachibana. (2000). Sulfonylurea Resistant Biotypes of Lindernia Species in the Tohoku Region and their Response to Several Herbicides.. Journal of Weed Science and Technology. 45(1). 13–20. 15 indexed citations
17.
Wang, Guangxi. (1998). Study on taxonomy and biosystematics of the genus Monochoria in Asia.. Journal of Weed Science and Technology. 43(2). 81–87. 1 indexed citations
18.
Itoh, Kazuyuki, et al.. (1997). . Journal of Weed Science and Technology. 42(Suppl). 22–31. 4 indexed citations
19.
Wang, Guangxi, et al.. (1996). Photoperiodic Response of Flowering in Monochoria korsakowii Regel et Maack and M.vaginalis(Burm.f.) Kunth.. Journal of Weed Science and Technology. 41(3). 241–246. 2 indexed citations
20.
Wang, Guangxi, et al.. (1996). Isozyme Variation in Monochoria korsakowii Regel et Maack and M.vaginalis(Burm.f.) Kunth(Pontederiaceae).. Journal of Weed Science and Technology. 41(3). 255–263. 7 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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