Sen Yang

3.1k total citations · 1 hit paper
85 papers, 2.3k citations indexed

About

Sen Yang is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Sen Yang has authored 85 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Plant Science, 36 papers in Molecular Biology and 25 papers in Genetics. Recurrent topics in Sen Yang's work include Plant Molecular Biology Research (26 papers), Advances in Cucurbitaceae Research (17 papers) and Plant Reproductive Biology (11 papers). Sen Yang is often cited by papers focused on Plant Molecular Biology Research (26 papers), Advances in Cucurbitaceae Research (17 papers) and Plant Reproductive Biology (11 papers). Sen Yang collaborates with scholars based in China, United States and Spain. Sen Yang's co-authors include Qiming Wang, Zhe Zhang, Qing Li, Longyu Zheng, Ziniu Yu, Shi‐Yong Sun, Wu Li, Kai Wang, Huazhong Ren and Ziduo Liu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sen Yang

78 papers receiving 2.2k citations

Hit Papers

Emerging therapies for small cell lung cancer 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Emerging therapies for small cell lung cancer
    2019 304 citations Sen Yang, Qiming Wang et al. Journal of Hematology & Oncology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Yang China 25 1.0k 944 371 353 344 85 2.3k
José A. Pintor‐Toro Spain 29 1.5k 1.5× 1.9k 2.0× 182 0.5× 105 0.3× 224 0.7× 55 3.1k
Martin Rühl Germany 23 422 0.4× 1.1k 1.1× 152 0.4× 157 0.4× 76 0.2× 79 2.0k
Xuewei Chen China 33 2.6k 2.6× 1.3k 1.4× 132 0.4× 269 0.8× 203 0.6× 90 3.6k
Lìjiāng Liú China 23 811 0.8× 577 0.6× 58 0.2× 150 0.4× 221 0.6× 87 1.6k
Xiaoyan Wang China 24 555 0.5× 846 0.9× 43 0.1× 164 0.5× 157 0.5× 119 1.6k
Feng Tian China 17 1.9k 1.8× 1.8k 1.9× 53 0.1× 176 0.5× 119 0.3× 45 3.1k
Yanbing Cheng China 19 981 1.0× 1.2k 1.2× 160 0.4× 472 1.3× 53 0.2× 25 2.2k
Minglei Zhao China 24 1.5k 1.5× 1.1k 1.2× 145 0.4× 49 0.1× 48 0.1× 61 2.0k
Mengmeng Yang China 21 489 0.5× 1.0k 1.1× 177 0.5× 107 0.3× 147 0.4× 84 1.8k
Qinghua Ma China 23 337 0.3× 928 1.0× 23 0.1× 102 0.3× 344 1.0× 98 1.7k

Countries citing papers authored by Sen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Sen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Yang. A scholar is included among the top collaborators of Sen Yang 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 Sen Yang. Sen Yang 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.
2.
Zhang, Minjuan, Wenkai Yan, Huayu Zhu, et al.. (2025). Development of near-isogenic line of dwarf gene Cldw-1 and transcriptome analysis in watermelon (Citrullus lanatus). Scientia Horticulturae. 343. 114065–114065. 1 indexed citations
3.
Wang, Dengke, Hongbing Yan, Jiaxin Cui, et al.. (2025). The development of liquid-phase chip by target sequencing and their application in watermelon molecular breeding. Horticultural Plant Journal. 11(6). 2109–2120. 1 indexed citations
4.
Yang, Bo, Sen Yang, Xiaomi Wang, et al.. (2025). Inhibition of RNase to Attenuate Fungal‐Manipulated Rhizosphere Microbiome and Diseases. Advanced Science. 12(40). e03146–e03146. 1 indexed citations
5.
6.
Niu, Huanhuan, Pengfei Li, Minjuan Zhang, et al.. (2024). Genome-wide identification of ClSPL gene family and functional characterization of ClSPL9 in watermelon. Scientia Horticulturae. 337. 113539–113539. 2 indexed citations
7.
Liu, Dongming, Y Chen, Dongling Sun, et al.. (2024). The pseudo-type response regulator gene Clsc regulates rind stripe coloration in watermelon1. Journal of Integrative Agriculture. 2 indexed citations
8.
Zhao, Lijun, Minjuan Zhang, Huanhuan Niu, et al.. (2024). ELONGATED HYPOTCOTYL5 and SPINE BASE SIZE1 together mediate light-regulated spine expansion in cucumber. PLANT PHYSIOLOGY. 195(1). 552–565. 2 indexed citations
9.
Wang, Yinping, Dongming Liu, Sen Yang, et al.. (2023). Genetic Mapping of a Candidate Gene ClIS Controlling Intermittent Stripe Rind in Watermelon. Horticulturae. 9(2). 263–263. 4 indexed citations
10.
Yang, Sen, Huayu Zhu, Minjuan Zhang, et al.. (2022). A novel HD‐Zip I/C2H2‐ZFP/WD‐repeat complex regulates the size of spine base in cucumber. New Phytologist. 233(6). 2643–2658. 26 indexed citations
11.
Wang, Zongkuan, Bo Yang, Wenyue Zheng, et al.. (2022). Recognition of glycoside hydrolase 12 proteins by the immune receptor RXEG1 confers Fusarium head blight resistance in wheat. Plant Biotechnology Journal. 21(4). 769–781. 18 indexed citations
12.
Feng, Qian, Sen Yang, Lu Lu, et al.. (2021). Physiological and Molecular Mechanisms of ABA and CaCl2 Regulating Chilling Tolerance of Cucumber Seedlings. Plants. 10(12). 2746–2746. 25 indexed citations
13.
Zhu, Lei, Huayu Zhu, Yanman Li, et al.. (2021). Genome Wide Characterization, Comparative and Genetic Diversity Analysis of Simple Sequence Repeats in Cucurbita Species. Horticulturae. 7(6). 143–143. 9 indexed citations
14.
Liu, Yang, Sen Yang, Jiuzhou Zhao, et al.. (2021). Cell-free DNA from cerebrospinal fluid can be used to detect the EGFR mutation status of lung adenocarcinoma patients with central nervous system metastasis. Translational Lung Cancer Research. 10(2). 914–925. 15 indexed citations
15.
Zhang, Zhe, Sen Yang, Xuan Wu, et al.. (2021). Consistency of recommendations for the diagnosis and treatment of non-small cell lung cancer: a systematic review. Translational Lung Cancer Research. 10(6). 2715–2732. 11 indexed citations
16.
Wang, Qiming, Sen Yang, Kai Wang, & Shi‐Yong Sun. (2019). MET inhibitors for targeted therapy of EGFR TKI-resistant lung cancer. Journal of Hematology & Oncology. 12(1). 63–63. 192 indexed citations
17.
Yang, Sen, Yanling Cai, Xingwang Liu, et al.. (2018). A CsMYB6-CsTRY module regulates fruit trichome initiation in cucumber. Journal of Experimental Botany. 69(8). 1887–1902. 77 indexed citations
18.
19.
Zhang, Yan, Xiaolan Zhang, Bin Liu, et al.. (2014). A GAMYB homologue CsGAMYB1 regulates sex expression of cucumber via an ethylene-independent pathway. Journal of Experimental Botany. 65(12). 3201–3213. 79 indexed citations
20.

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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