Yu Tian

2.1k total citations
58 papers, 1.6k citations indexed

About

Yu Tian is a scholar working on Plant Science, Soil Science and Agronomy and Crop Science. According to data from OpenAlex, Yu Tian has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 15 papers in Soil Science and 8 papers in Agronomy and Crop Science. Recurrent topics in Yu Tian's work include Research in Cotton Cultivation (17 papers), Plant Stress Responses and Tolerance (15 papers) and Irrigation Practices and Water Management (11 papers). Yu Tian is often cited by papers focused on Research in Cotton Cultivation (17 papers), Plant Stress Responses and Tolerance (15 papers) and Irrigation Practices and Water Management (11 papers). Yu Tian collaborates with scholars based in China, Australia and United States. Yu Tian's co-authors include Sergey Shabala, Sven‐Erik Jacobsen, Daowei Zhou, Yuda Cahyoargo Hariadi, Lana Shabala, Bo Guan, Alex L. MacKay, Jiyun Yang, Yuxia Wu and Tracey Ann Cuin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yu Tian

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Tian China 19 1.1k 319 240 158 156 58 1.6k
Bernardo Murillo‐Amador Mexico 25 1.9k 1.8× 348 1.1× 319 1.3× 214 1.4× 76 0.5× 225 2.4k
A. Pattanayak India 23 1.2k 1.1× 257 0.8× 347 1.4× 371 2.3× 178 1.1× 110 1.9k
Guisheng Zhou China 25 1.5k 1.4× 132 0.4× 190 0.8× 214 1.4× 196 1.3× 98 1.9k
Enrique Troyo‐Diéguez Mexico 22 979 0.9× 223 0.7× 156 0.7× 155 1.0× 41 0.3× 135 1.4k
Ali Mokhtassi‐Bidgoli Iran 21 1.2k 1.1× 133 0.4× 275 1.1× 265 1.7× 68 0.4× 88 1.6k
Mohammed Bajji Belgium 18 1.9k 1.7× 205 0.6× 389 1.6× 107 0.7× 37 0.2× 28 2.1k
Nawab Ali United States 10 1.1k 1.0× 82 0.3× 188 0.8× 165 1.0× 55 0.4× 53 1.5k
Said Wahbi Morocco 30 1.8k 1.6× 259 0.8× 199 0.8× 569 3.6× 137 0.9× 73 2.2k
Sarita Jane Bennett Australia 20 769 0.7× 161 0.5× 132 0.6× 74 0.5× 156 1.0× 72 1.3k
David Higgs United Kingdom 30 2.8k 2.5× 167 0.5× 290 1.2× 518 3.3× 133 0.9× 51 3.2k

Countries citing papers authored by Yu Tian

Since Specialization
Citations

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

Fields of papers citing papers by Yu Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Tian. A scholar is included among the top collaborators of Yu 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 Yu Tian. Yu 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.
Liu, Ningning, Wentao Shi, Jian Jiao, et al.. (2025). Cyclic-di-GMP interferes with DNA-MucR-DNA bridging to derepress genes targeted by the xenogeneic silencer MucR. Nucleic Acids Research. 53(20).
2.
Qian, Qian, Weiguo Hu, Yu Yang, et al.. (2025). Overexpression of TaCR4-A positively regulates grain size in Triticum aestivum. BMC Plant Biology. 25(1). 1273–1273.
3.
Deng, Shijie, Feng Shi, Xuan Liu, et al.. (2025). Effect of cumin intercropping density on cotton growth and system economic benefits under subsurface drip irrigation. Journal of Cotton Research. 8(1). 1 indexed citations
4.
Shi, Xiaojuan, Yonglin Yang, Nannan Li, et al.. (2024). Enhancing cotton yield and fiber quality via the optimization of within-boll yield components with potassium application under limited drip irrigation in arid regions. Industrial Crops and Products. 222. 119957–119957. 3 indexed citations
5.
Liu, Lu, et al.. (2024). Full-chain analysis on emerging contaminants in soil: Source, migration and remediation. Chemosphere. 363. 142854–142854. 11 indexed citations
6.
Shi, Feng, Yu Tian, Nannan Li, et al.. (2024). Chemical topping enhances the cotton (Gossypium hirsutum L.) yield formation through improving leaf photosynthesis and assimilating the partitioning to reproductive organs. Industrial Crops and Products. 222. 119903–119903. 3 indexed citations
7.
Tian, Yu, et al.. (2023). Late nitrogen fertilization increases biomass of cotton bolls by reinforcing source sink performance. Industrial Crops and Products. 206. 117663–117663. 4 indexed citations
8.
Zhang, Biliang, et al.. (2023). Rhizobial migration toward roots mediated by FadL-ExoFQP modulation of extracellular long-chain AHLs. The ISME Journal. 17(3). 417–431. 20 indexed citations
9.
Tian, Yu, Yuezhen Li, Dan Wang, et al.. (2022). The PTS Ntr -KdpDE-KdpFABC Pathway Contributes to Low Potassium Stress Adaptation and Competitive Nodulation of Sinorhizobium fredii. mBio. 13(3). e0372121–e0372121. 8 indexed citations
10.
Tian, Yu, et al.. (2022). The efficacy of chemical topping in field-grown cotton is mediated by drip irrigation amount in irrigated agricultural area. Journal of Cotton Research. 5(1). 5 indexed citations
12.
Song, Chunhua, et al.. (2019). Differential protein analysis of Heracleum moellendorffii Hance seeds during stratification. Plant Physiology and Biochemistry. 145. 10–20. 9 indexed citations
13.
Tian, Yu, Lei Yang, Yinghui Li, & Lijuan Qiu. (2018). Development and Utilization of KASP Marker for SCN3-11 Locus Resistant to Soybean Cyst Nematode. ACTA AGRONOMICA SINICA. 44(11). 1600–1611. 3 indexed citations
14.
Zhang, Hongxiang, Yu Tian, Bo Guan, et al.. (2018). The best salt solution parameter to describe seed/seedling responses to saline and sodic salts. Plant and Soil. 426(1-2). 313–325. 25 indexed citations
15.
Zhou, Daowei, Hongxiang Zhang, Yu Tian, et al.. (2014). Effects of Salinity, Temperature, and Polyethylene Glycol on the Seed Germination of Sunflower (Helianthus annuusL.). The Scientific World JOURNAL. 2014. 1–9. 32 indexed citations
16.
Yang, Jiyun, Wei Zheng, Yu Tian, Yuxia Wu, & Daowei Zhou. (2011). Effects of various mixed salt-alkaline stresses on growth, photosynthesis, and photosynthetic pigment concentrations of Medicago ruthenica seedlings. Photosynthetica. 49(2). 275–284. 131 indexed citations
17.
Pan, Hongli, et al.. (2010). Responses of the Morphological Peculiarities and Above-ground Biomass of Fargesia angustissima to the altitudinal Gradients in Wolong Nature Reserve. 31(3). 30–36. 1 indexed citations
18.
Tian, Yu. (2009). Analysis of the effects of sample size and distribution model on the inference of fatigue life distribution. Machinery Design and Manufacture. 1 indexed citations
19.
Tian, Yu, et al.. (2009). Advances of study on the adversity-resistance of Haloxylon.. Xinjiang nongye kexue. 46(4). 907–912. 1 indexed citations
20.
Liu, Ji & Yu Tian. (1987). INFLUENCE OF ENVIRONMENTAL FACTOES ON THE NUMBER OF HOST KILLED BY ENCARSIA FORMOSA GAHEN THROUGH HOST-FEEDING AND PARASITIZING. Journal of Biological Control. 3. 2 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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