Yue Tian

3.7k total citations · 1 hit paper
22 papers, 726 citations indexed

About

Yue Tian is a scholar working on Molecular Biology, Plant Science and Electrical and Electronic Engineering. According to data from OpenAlex, Yue Tian has authored 22 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Plant Science and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yue Tian's work include Research in Cotton Cultivation (7 papers), Perovskite Materials and Applications (6 papers) and Genomics and Phylogenetic Studies (4 papers). Yue Tian is often cited by papers focused on Research in Cotton Cultivation (7 papers), Perovskite Materials and Applications (6 papers) and Genomics and Phylogenetic Studies (4 papers). Yue Tian collaborates with scholars based in China, Taiwan and United States. Yue Tian's co-authors include Tianzhen Zhang, Yang Yang, Tingming Jiang, Jianbei Qiu, Dianxing Ju, Gang Lin, Xuhui Xu, Xue Yu, Hao Zhang and Wenbo Ma and has published in prestigious journals such as Journal of Clinical Oncology, Advanced Functional Materials and New Phytologist.

In The Last Decade

Yue Tian

20 papers receiving 719 citations

Hit Papers

Highly Efficient and Tunable Emission of Lead‐Free Mangan... 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yue Tian China 10 289 281 275 135 84 22 726
Grzegorz Pawlik Poland 15 76 0.3× 26 0.1× 220 0.8× 136 1.0× 17 0.2× 61 619
Shuwen Yin China 20 493 1.7× 19 0.1× 682 2.5× 49 0.4× 133 1.6× 32 803
Yan-Ping Fan China 14 211 0.7× 42 0.1× 424 1.5× 395 2.9× 91 1.1× 28 853
Junnan Fang China 7 92 0.3× 128 0.5× 319 1.2× 278 2.1× 16 0.2× 20 634
Christoph H.-H. Traulsen Germany 14 155 0.5× 23 0.1× 177 0.6× 146 1.1× 5 0.1× 16 465
Paul A. E. Piunno Canada 19 292 1.0× 16 0.1× 180 0.7× 679 5.0× 13 0.2× 39 1.1k
Regis Neuenschwander Brazil 9 61 0.2× 23 0.1× 90 0.3× 57 0.4× 38 0.5× 28 303
Matthias J. Mickert Germany 16 69 0.2× 25 0.1× 294 1.1× 396 2.9× 20 0.2× 20 779
Masaki Abe Japan 11 70 0.2× 17 0.1× 126 0.5× 46 0.3× 52 0.6× 46 392
Søren S. Nielsen Denmark 8 25 0.1× 11 0.0× 167 0.6× 259 1.9× 37 0.4× 12 502

Countries citing papers authored by Yue Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yue Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Tian. A scholar is included among the top collaborators of Yue Tian 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 Yue Tian. Yue Tian 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.
Zhang, Jun, Rui Chen, Fan Dai, et al.. (2025). Spatial transcriptome and single‐cell RNA sequencing reveal the molecular basis of cotton fiber initiation development. The Plant Journal. 121(6). e70064–e70064. 2 indexed citations
2.
Tian, Yue, et al.. (2025). Endoscopic Fourier-transform infrared spectroscopy through a fiber microprobe. Review of Scientific Instruments. 96(3).
3.
Chen, Rui, Jun Zhang, Jun Li, et al.. (2025). Two duplicated GhMML3 genes coordinately control development of lint and fuzz fibers in cotton. Plant Communications. 6(4). 101281–101281. 2 indexed citations
4.
Yang, Yujie, et al.. (2025). Genome-Wide Analysis of NAC Transcription Factor Gene Family in Morus atropurpurea. Plants. 14(8). 1179–1179. 2 indexed citations
5.
Li, Yiqian, Zhanfeng Si, Guoping Wang, et al.. (2023). Genomic insights into the genetic basis of cotton breeding in China. Molecular Plant. 16(4). 662–677. 29 indexed citations
6.
Zhao, Huilin, Yue Tian, Si Chen, et al.. (2022). Oceanospirillum sediminis sp. nov., Isolated From Coastal Sediment in the Yellow Sea. Current Microbiology. 79(4). 124–124. 1 indexed citations
7.
Si, Zhanfeng, Huaitong Wu, Yue Tian, et al.. (2022). Visible gland constantly traces virus-induced gene silencing in cotton. Frontiers in Plant Science. 13. 1020841–1020841. 5 indexed citations
8.
Miao, Xiulian, et al.. (2022). Isolation and identification of cellulose-degrading endophytic bacteria from Tomoceridae (springtails). African Journal of Microbiology Research. 16(1). 1–7.
9.
Jin, Peng, Yingjie Tang, Xuehui Xu, et al.. (2022). Solution‐Processed Perovskite/Metal‐Oxide Hybrid X‐Ray Detector and Array with Decoupled Electronic and Ionic Transport Pathways. Small Methods. 6(8). e2200500–e2200500. 12 indexed citations
10.
Finkenauer, Blake P., Yao Gao, Xiaokang Wang, et al.. (2021). Mechanically robust and self-healable perovskite solar cells. Cell Reports Physical Science. 2(2). 100320–100320. 49 indexed citations
11.
Zhao, Ruiying, Yuchen Han, Chan Xiang, et al.. (2021). RNA sequencing effectively identifies gene fusions undetected by DNA sequencing in lung adenocarcinomas.. Journal of Clinical Oncology. 39(15_suppl). 3052–3052. 3 indexed citations
12.
Zhao, Huilin, et al.. (2021). Vibrio marinisediminis sp. nov., Isolated from Marine Sediment. Current Microbiology. 78(2). 810–815. 3 indexed citations
13.
Chen, Jianwu, Xuehui Xu, Xiangyang Tang, et al.. (2021). Highly Efficient and Thickness Insensitive Inverted Triple-Cation Perovskite Solar Cells Fabricated by Gas Pumping Method. The Journal of Physical Chemistry Letters. 12(23). 5580–5586. 8 indexed citations
14.
Jiang, Tingming, Wenbo Ma, Hao Zhang, et al.. (2021). Highly Efficient and Tunable Emission of Lead‐Free Manganese Halides toward White Light‐Emitting Diode and X‐Ray Scintillation Applications. Advanced Functional Materials. 31(14). 282 indexed citations breakdown →
15.
Tian, Yue, Jingjing Du, Huaitong Wu, et al.. (2020). The transcription factor MML4_D12 regulates fiber development through interplay with the WD40-repeat protein WDR in cotton. Journal of Experimental Botany. 71(12). 3499–3511. 31 indexed citations
16.
Tian, Yue & Tianzhen Zhang. (2020). MIXTAs and phytohormones orchestrate cotton fiber development. Current Opinion in Plant Biology. 59. 101975–101975. 58 indexed citations
17.
Zhao, Huilin, Chaonan Wang, Yue Tian, et al.. (2020). Halomonas marinisediminis sp. nov., A Moderately Halophilic Bacterium Isolated from the Bohai Gulf. Current Microbiology. 77(11). 3773–3779. 3 indexed citations
18.
Li, Yan, Xiong-Fei Jiang, Yue Tian, Sai-Ping Li, & Bo Zheng. (2018). Portfolio optimization based on network topology. Physica A Statistical Mechanics and its Applications. 515. 671–681. 46 indexed citations
19.
Si, Zhanfeng, Hui Liu, Jiankun Zhu, et al.. (2018). Mutation of SELF-PRUNING homologs in cotton promotes short-branching plant architecture. Journal of Experimental Botany. 69(10). 2543–2553. 53 indexed citations
20.
Wu, Huaitong, Yue Tian, Qun Wan, et al.. (2017). Genetics and evolution of MIXTA genes regulating cotton lint fiber development. New Phytologist. 217(2). 883–895. 110 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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