Ji Yu

2.9k total citations · 1 hit paper
48 papers, 2.2k citations indexed

About

Ji Yu is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Ji Yu has authored 48 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 8 papers in Biophysics and 7 papers in Cell Biology. Recurrent topics in Ji Yu's work include Advanced Fluorescence Microscopy Techniques (7 papers), Bacterial Genetics and Biotechnology (6 papers) and Cellular Mechanics and Interactions (5 papers). Ji Yu is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (7 papers), Bacterial Genetics and Biotechnology (6 papers) and Cellular Mechanics and Interactions (5 papers). Ji Yu collaborates with scholars based in United States, South Korea and China. Ji Yu's co-authors include X. Sunney Xie, Jie Xiao, Kaiqin Lao, Xiaojia Ren, Wei Yang, Peter Setlow, Jingqiao Zhang, Hyeyoung Kim, Vedakumar Tatavarty and Ann E. Cowan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and ACS Nano.

In The Last Decade

Ji Yu

47 papers receiving 2.2k citations

Hit Papers

Probing Gene Expression in Live Cells, One Protein Molecu... 2006 2026 2012 2019 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Yu United States 25 1.5k 490 463 224 210 48 2.2k
Timothy H. Tran United States 18 2.2k 1.5× 319 0.7× 406 0.9× 157 0.7× 340 1.6× 34 3.0k
В. З. Плетнев Russia 24 1.5k 1.0× 494 1.0× 306 0.7× 181 0.8× 230 1.1× 88 2.3k
Yongfang Zhao China 18 1.2k 0.8× 235 0.5× 192 0.4× 136 0.6× 129 0.6× 51 2.0k
Ran Kafri United States 17 2.2k 1.5× 163 0.3× 250 0.5× 235 1.0× 378 1.8× 26 3.0k
Boris Steipe Germany 26 2.2k 1.5× 326 0.7× 206 0.4× 103 0.5× 146 0.7× 41 3.0k
Karin Giller Germany 36 2.5k 1.7× 341 0.7× 295 0.6× 109 0.5× 149 0.7× 97 4.3k
Petr Heřman Czechia 28 1.7k 1.1× 244 0.5× 87 0.2× 209 0.9× 187 0.9× 97 2.4k
Ulrike Eggert United States 29 1.8k 1.3× 341 0.7× 180 0.4× 165 0.7× 839 4.0× 76 3.0k
Ivan R. Corrêa United States 34 4.0k 2.7× 949 1.9× 343 0.7× 395 1.8× 767 3.7× 98 5.5k
Bogdan Budnik United States 41 4.0k 2.7× 126 0.3× 296 0.6× 575 2.6× 347 1.7× 96 6.1k

Countries citing papers authored by Ji Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Yu. A scholar is included among the top collaborators of Ji 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 Ji Yu. Ji 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.
Yu, Ji, et al.. (2026). Machine learning-based hybrid preprocessing techniques for UAV spare parts demand forecasting. European J of Industrial Engineering. 21(1). 33–53.
2.
Yang, Ji-Hye, Seok Jung Kim, Ji Yu, et al.. (2025). Blockade of ZMIZ1‐GATA4 Axis Regulation Restores Youthfulness to Aged Cartilage. Advanced Science. 12(16). e2404311–e2404311. 1 indexed citations
3.
Li, Jingjing, Haiou Liu, Chang Yuan, et al.. (2024). Fast chlorophyll fluorescence rise kinetics as a high-throughput diagnostic tool for evaluating the capacity of 2-amino-3-methylhexanoic acid at inducing plant resistance against high temperature. Environmental and Experimental Botany. 229. 106040–106040. 1 indexed citations
4.
Yu, Ji. (2023). Point-Supervised Single-Cell Segmentation via Collaborative Knowledge Sharing. IEEE Transactions on Medical Imaging. 42(12). 3884–3894. 5 indexed citations
5.
El‐Damasy, Ashraf K., Seon Hee Seo, Young Ho Seo, et al.. (2020). Structural Basis for Design of New Purine-Based Inhibitors Targeting the Hydrophobic Binding Pocket of Hsp90. International Journal of Molecular Sciences. 21(24). 9377–9377. 9 indexed citations
6.
Jiang, Xiangyi, Ji Yu, Zhongxia Zhou, et al.. (2019). Molecular design opportunities presented by solvent‐exposed regions of target proteins. Medicinal Research Reviews. 39(6). 2194–2238. 40 indexed citations
7.
Machida, Kazuya, et al.. (2017). Optogenetic activation of EphB2 receptor in dendrites induced actin polymerization by activating Arg kinase. Biology Open. 6(12). 1820–1830. 19 indexed citations
8.
Das, Sulagna, Ji Yu, Igor L. Novak, et al.. (2017). A minimal actomyosin-based model predicts the dynamics of filopodia on neuronal dendrites. Molecular Biology of the Cell. 28(8). 1021–1033. 12 indexed citations
9.
Das, Sulagna, et al.. (2015). Single-molecule tracking of small GTPase Rac1 uncovers spatial regulation of membrane translocation and mechanism for polarized signaling. Proceedings of the National Academy of Sciences. 112(3). E267–76. 62 indexed citations
10.
Yu, Ji, et al.. (2015). Optimal Drift Correction for Superresolution Localization Microscopy with Bayesian Inference. Biophysical Journal. 109(9). 1772–1780. 18 indexed citations
11.
Yu, Ji & Hyeyoung Kim. (2014). Oxidative Stress and Cytokines in the Pathogenesis of Pancreatic Cancer. Journal of Cancer Prevention. 19(2). 97–102. 32 indexed citations
12.
Kim, Yong Deuk, Yong‐Hoon Kim, Surendar Tadi, et al.. (2012). Metformin Inhibits Growth Hormone–Mediated Hepatic PDK4 Gene Expression Through Induction of Orphan Nuclear Receptor Small Heterodimer Partner. Diabetes. 61(10). 2484–2494. 25 indexed citations
13.
Tatavarty, Vedakumar, Marius F. Ifrim, Mikhail K. Levin, et al.. (2012). Single-molecule imaging of translational output from individual RNA granules in neurons. Molecular Biology of the Cell. 23(5). 918–929. 46 indexed citations
14.
Griffiths, Keren K., Jingqiao Zhang, Ann E. Cowan, Ji Yu, & Peter Setlow. (2011). Germination proteins in the inner membrane of dormant Bacillus subtilis spores colocalize in a discrete cluster. Molecular Microbiology. 81(4). 1061–1077. 90 indexed citations
15.
Yu, Ji, et al.. (2011). Fingerprint analysis of placenta polypeptide injection by high performance liquid chromatography. Journal of Pharmaceutical Analysis. 2(1). 71–75. 4 indexed citations
17.
Vats, Purva, Ji Yu, & Lawrence Rothfield. (2009). The dynamic nature of the bacterial cytoskeleton. Cellular and Molecular Life Sciences. 66(20). 3353–3362. 38 indexed citations
18.
Yu, Ji, Jie Xiao, Xiaojia Ren, Kaiqin Lao, & X. Sunney Xie. (2006). Probing Gene Expression in Live Cells, One Protein Molecule at a Time. Science. 311(5767). 1600–1603. 685 indexed citations breakdown →
19.
Falck, John R., L. Manmohan Reddy, Y. Krishna Reddy, et al.. (2003). 11,12-Epoxyeicosatrienoic acid (11,12-EET): structural determinants for inhibition of TNF-α-Induced VCAM-1 expression. Bioorganic & Medicinal Chemistry Letters. 13(22). 4011–4014. 66 indexed citations
20.
Yu, Ji. (2002). Influence of sea pyrimidine on apoptosis of SGC-7901 human stomach cancer cells. Ha'erbin gongye daxue xuebao. 1 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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