Jing Yu

7.9k total citations · 1 hit paper
132 papers, 5.0k citations indexed

About

Jing Yu is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Jing Yu has authored 132 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 31 papers in Plant Science and 15 papers in Immunology. Recurrent topics in Jing Yu's work include Plant Stress Responses and Tolerance (17 papers), Photosynthetic Processes and Mechanisms (16 papers) and Plant responses to elevated CO2 (9 papers). Jing Yu is often cited by papers focused on Plant Stress Responses and Tolerance (17 papers), Photosynthetic Processes and Mechanisms (16 papers) and Plant responses to elevated CO2 (9 papers). Jing Yu collaborates with scholars based in China, United States and Switzerland. Jing Yu's co-authors include Shiliang Zhou, Erich D. Jarvis, Alexander J. Hartemink, V. Anne Smith, Wenpan Dong, Jing Liu, Ling Wang, Paul P. Wang, Yan Zhou and Yun Long Yu and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Bioinformatics.

In The Last Decade

Jing Yu

131 papers receiving 4.9k citations

Hit Papers

Highly Variable Chloroplast Markers for Evaluating Plant ... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jing Yu China 36 2.8k 1.3k 411 373 358 132 5.0k
Qi Zheng China 34 2.0k 0.7× 1.5k 1.1× 430 1.0× 177 0.5× 149 0.4× 213 4.6k
Toshiaki Tokimatsu Japan 18 4.0k 1.5× 1.8k 1.4× 597 1.5× 203 0.5× 182 0.5× 31 6.6k
Samuel Purvine United States 50 4.9k 1.8× 903 0.7× 603 1.5× 322 0.9× 141 0.4× 138 7.8k
Masahiro Hattori Japan 28 4.7k 1.7× 1.5k 1.1× 685 1.7× 159 0.4× 178 0.5× 85 8.2k
Ting‐Fung Chan Hong Kong 41 3.3k 1.2× 947 0.7× 657 1.6× 135 0.4× 200 0.6× 189 5.7k
Ling Wang China 36 1.8k 0.6× 1.5k 1.2× 346 0.8× 97 0.3× 97 0.3× 219 4.2k
Masumi Itoh Japan 10 5.9k 2.1× 2.4k 1.8× 934 2.3× 317 0.8× 234 0.7× 20 9.4k
Yuan Li China 43 3.8k 1.4× 2.5k 1.9× 769 1.9× 238 0.6× 96 0.3× 274 6.2k
Paul A. Haynes Australia 48 4.6k 1.7× 1.8k 1.3× 599 1.5× 162 0.4× 80 0.2× 183 8.2k

Countries citing papers authored by Jing Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Yu. A scholar is included among the top collaborators of Jing Yu 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 Jing Yu. Jing Yu 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.
Chen, Dandan, Jing Yu, Bixia Zheng, et al.. (2024). A novel gain‐of‐function STAT3 variant in infantile‐onset diabetes associated with multiorgan autoimmunity. Molecular Genetics & Genomic Medicine. 12(2). e2407–e2407. 5 indexed citations
2.
Liu, Moyang, et al.. (2024). Adaptive evolution of chloroplast division mechanisms during plant terrestrialization. Cell Reports. 43(3). 113950–113950. 6 indexed citations
3.
Li, Zhen, et al.. (2024). The expression pattern of Wnt6, Wnt10A, and HOXA13 during regenerating tails of Gekko Japonicus. Gene Expression Patterns. 53. 119374–119374.
4.
Cai, Mingsheng, Tianchun Lang, Shuangqiang Fang, et al.. (2023). Color tunable (Ba,Ca)ScO2F: Eu2+, Bi3+, K+ perovskite with dependence of excitation wavelength for advanced anti-counterfeiting application. Journal of Luminescence. 257. 119713–119713. 9 indexed citations
5.
Paris, Robert, Dan Apter, Suresh B. Boppana, et al.. (2023). Incidence of Cytomegalovirus Primary and Secondary Infection in Adolescent Girls: Results From a Prospective Study. The Journal of Infectious Diseases. 228(11). 1491–1495. 4 indexed citations
6.
Liu, Siyuan, Chengbin Zhang, Feng Guo, et al.. (2022). A systematical genome-wide analysis and screening of WRKY transcription factor family engaged in abiotic stress response in sweetpotato. BMC Plant Biology. 22(1). 79–616. 14 indexed citations
7.
Pagnamenta, Alistair T., Jing Yu, Julie Evans, et al.. (2022). Conclusion of diagnostic odysseys due to inversions disrupting GLI3 and FBN1. Journal of Medical Genetics. 60(5). 505–510. 9 indexed citations
8.
Yu, Jing, Yue Fu, Qiuju Zhang, et al.. (2022). Brusatol sensitizes endometrial hyperplasia and cancer to progestin by suppressing NRF2-TET1-AKR1C1-mediated progestin metabolism. Laboratory Investigation. 102(12). 1335–1345. 9 indexed citations
9.
Wang, Junfeng, Jing Yu, Linlin Wu, et al.. (2021). Pollution characteristics, sources and health risk of metals in urban dust from different functional areas in Nanjing, China. Environmental Research. 201. 111607–111607. 29 indexed citations
10.
Feng, Dandan, Bin Zheng, Jing Yu, et al.. (2021). 17β-Estradiol Inhibits Proliferation and Oxidative Stress in Vascular Smooth Muscle Cells by Upregulating BHLHE40 Expression. Frontiers in Cardiovascular Medicine. 8. 768662–768662. 8 indexed citations
11.
Rehman, Ashfaq Ur, Na Zhao, Huan Wang, et al.. (2020). Immunoproteasome inhibitor DPLG3 attenuates experimental colitis by restraining NF-κB activation. Biochemical Pharmacology. 177. 113964–113964. 19 indexed citations
12.
Brett, Sara, Sapna Yadavilli, Laura Seestaller‐Wehr, et al.. (2018). Preclinical evaluation of a non-depleting, first-in-class humanized IgG4 agonist anti-ICOS antibody. Annals of Oncology. 29. viii652–viii653. 1 indexed citations
13.
Xie, Fei, Pengxiang Zhao, Xuemei Ma, et al.. (2017). Promotion of Cellular Growth and Motility Is Independent of Enzymatic Activity of Fibroblast Activation Protein-α.. PubMed. 13(3). 201–8. 16 indexed citations
14.
Yu, Jing, Dhaval R. Kalaria, & Yogeshvar N. Kalia. (2011). Erbium:YAG fractional laser ablation for the percutaneous delivery of intact functional therapeutic antibodies. Journal of Controlled Release. 156(1). 53–59. 64 indexed citations
15.
Zhang, Yun, et al.. (2009). Brassinosteroids Promote Metabolism of Pesticides in Cucumber. Journal of Agricultural and Food Chemistry. 57(18). 8406–8413. 122 indexed citations
16.
Yu, Jing, V. Anne Smith, Paul P. Wang, Alexander J. Hartemink, & Erich D. Jarvis. (2004). Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics. 20(18). 3594–3603. 448 indexed citations
17.
Yu, Jing & Mariana F. Wolfner. (2002). TheDrosophilaNuclear Lamina Protein YA Binds to DNA and Histone H2B with Four Domains. Molecular Biology of the Cell. 13(2). 558–569. 8 indexed citations
20.
Goldberg, Michal, Huihua Lu, Nico Stuurman, et al.. (1998). Interactions among Drosophila Nuclear Envelope Proteins Lamin, Otefin, and YA. Molecular and Cellular Biology. 18(7). 4315–4323. 57 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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