Yaping Tang

739 total citations
11 papers, 312 citations indexed

About

Yaping Tang is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Yaping Tang has authored 11 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 6 papers in Molecular Biology and 2 papers in Biochemistry. Recurrent topics in Yaping Tang's work include Postharvest Quality and Shelf Life Management (3 papers), Plant Molecular Biology Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Yaping Tang is often cited by papers focused on Postharvest Quality and Shelf Life Management (3 papers), Plant Molecular Biology Research (3 papers) and CRISPR and Genetic Engineering (2 papers). Yaping Tang collaborates with scholars based in China and Israel. Yaping Tang's co-authors include Qinghui Yu, Baike Wang, Tao Yang, Shengbao Yang, Yan Peng, Juan Xu, Qiang Wang, Ning Li, Fangling Jiang and Mintao Sun and has published in prestigious journals such as Scientific Reports, BioMed Research International and PROTEOMICS.

In The Last Decade

Yaping Tang

11 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaping Tang China	8	227	218	27	25	20	11	312
Duong Doan Vietnam	6	306 1.3×	252 1.2×	46 1.7×	21 0.8×	20 1.0×	6	363
Xueying Han China	8	129 0.6×	226 1.0×	14 0.5×	3 0.1×	13 0.7×	18	299
Fuqiu Wang China	9	239 1.1×	201 0.9×	44 1.6×	22 0.9×	14 0.7×	14	290
Huadong Zhan China	11	376 1.7×	321 1.5×	15 0.6×	3 0.1×	37 1.9×	15	496
Zongkai Liu China	9	324 1.4×	318 1.5×	17 0.6×	4 0.2×	47 2.4×	14	430
Shengwei Hu China	5	241 1.1×	56 0.3×	8 0.3×	18 0.7×	141 7.0×	11	309
Yuting Yang China	7	142 0.6×	53 0.2×	9 0.3×	7 0.3×	20 1.0×	28	272
Ashwin Nair India	9	269 1.2×	285 1.3×	16 0.6×		24 1.2×	12	390
Yanqing Ma China	11	222 1.0×	250 1.1×	8 0.3×		15 0.8×	31	380

Countries citing papers authored by Yaping Tang

Since Specialization

Citations

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

Fields of papers citing papers by Yaping Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Tang

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

All Works

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11 of 11 papers shown

Tang, Yaping, Chunmei Shi, Xuan Deng, et al.. (2023). Identification of carotenoids and candidate genes shaping high pigment chili pepper variety. Scientia Horticulturae. 327. 112799–112799. 7 indexed citations

Wang, Baike, Shaoyong Huang, Jiahui Hu, et al.. (2021). Enhanced soluble sugar content in tomato fruit using CRISPR/Cas9-mediated SlINVINH1 and SlVPE5 gene editing. PeerJ. 9. e12478–e12478. 28 indexed citations

Tang, Yaping, Tao Yang, Shengbao Yang, et al.. (2021). Biochemical variances through metabolomic profile analysis of Capsicum chinense Jacq. during fruit development. Folia Horticulturae. 33(1). 17–26. 3 indexed citations

Li, Dantong, Qingsheng Huang, Shuai Huang, et al.. (2021). Drug repositioning based on network-specific core genes identifies potential drugs for the treatment of autism spectrum disorder in children. Computational and Structural Biotechnology Journal. 19. 3908–3921. 9 indexed citations

Wang, Baike, Juan Wang, Shaoyong Huang, et al.. (2020). iTRAQ‐Based Proteomics Reveals that the Tomato ms10³⁵ Gene Causes Male Sterility through Compromising Fat Acid Metabolism. PROTEOMICS. 20(8). e1900213–e1900213. 4 indexed citations

Sun, Mintao, Zhen Wu, Lu Yu, et al.. (2020). LncRNA regulates tomato fruit cracking by coordinating gene expression via a hormone-redox-cell wall network. BMC Plant Biology. 20(1). 162–162. 49 indexed citations

Yang, Shengbao, Tao Yang, Yaping Tang, et al.. (2020). Transcriptomic profile analysis of non-coding RNAs involved in Capsicum chinense Jacq. fruit ripening. Scientia Horticulturae. 264. 109158–109158. 15 indexed citations

Chen, Zhibo, et al.. (2019). Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma. BioMed Research International. 2019. 1–9. 22 indexed citations

Tang, Yaping, Tao Yang, Juan Xu, et al.. (2017). Fruit characteristic and flesh tissue feature of special firmness type processing tomato cultivar.. Nongye gongcheng xuebao. 33(18). 285–290. 2 indexed citations

10.

Yu, Qinghui, Baike Wang, Ning Li, et al.. (2017). CRISPR/Cas9-induced Targeted Mutagenesis and Gene Replacement to Generate Long-shelf Life Tomato Lines. Scientific Reports. 7(1). 11874–11874. 166 indexed citations

11.

Yu, Qinghui, Baike Wang, Tao Yang, et al.. (2016). Identification of QTLs for red fruit firmness using the wild tomato species Solanum pennellii LA716 introgression lines. Plant Breeding. 135(6). 728–734. 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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