Weina Ju

2.1k total citations
76 papers, 1.6k citations indexed

About

Weina Ju is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Weina Ju has authored 76 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Physiology and 16 papers in Epidemiology. Recurrent topics in Weina Ju's work include Genetics and Neurodevelopmental Disorders (11 papers), Lysosomal Storage Disorders Research (9 papers) and Pregnancy and preeclampsia studies (7 papers). Weina Ju is often cited by papers focused on Genetics and Neurodevelopmental Disorders (11 papers), Lysosomal Storage Disorders Research (9 papers) and Pregnancy and preeclampsia studies (7 papers). Weina Ju collaborates with scholars based in United States, China and Finland. Weina Ju's co-authors include W. Ted Brown, Nanbert Zhong, Rajesh Khanna, Xu Wang, Sarah M. Wilson, Erik T. Dustrude, Nan Zhong, Yang Yu, Hongliang Zhang and Caiyun Liu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Weina Ju

72 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weina Ju United States 27 784 422 325 291 179 76 1.6k
Fang Cai China 16 545 0.7× 501 1.2× 457 1.4× 208 0.7× 146 0.8× 51 1.8k
Maria Teresa Fiorenza Italy 26 927 1.2× 407 1.0× 147 0.5× 178 0.6× 80 0.4× 56 1.7k
Alberto Pérez‐Mediavilla Spain 20 834 1.1× 795 1.9× 448 1.4× 157 0.5× 102 0.6× 39 1.7k
Margot Fournier Switzerland 22 837 1.1× 364 0.9× 397 1.2× 92 0.3× 142 0.8× 46 2.1k
Bo Tian China 24 834 1.1× 312 0.7× 284 0.9× 77 0.3× 125 0.7× 66 1.8k
Melissa J. Alldred United States 23 1.1k 1.3× 593 1.4× 467 1.4× 175 0.6× 73 0.4× 39 2.0k
Lore Becker Germany 24 653 0.8× 176 0.4× 440 1.4× 212 0.7× 82 0.5× 43 1.4k
Felice Tirone Italy 27 1.6k 2.1× 267 0.6× 540 1.7× 231 0.8× 107 0.6× 61 2.5k
Jae Ryun Ryu South Korea 22 647 0.8× 180 0.4× 367 1.1× 125 0.4× 81 0.5× 51 1.4k
Christopher J. Yuskaitis United States 16 914 1.2× 210 0.5× 309 1.0× 588 2.0× 320 1.8× 31 1.7k

Countries citing papers authored by Weina Ju

Since Specialization
Citations

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

Fields of papers citing papers by Weina Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weina Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Weina Ju. A scholar is included among the top collaborators of Weina Ju 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 Weina Ju. Weina Ju 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, Xiang, Weina Ju, Pamela K. Woodard, et al.. (2025). Quantitative and longitudinal assessment of human placental inflammation using diffusion basis spectrum imaging. PubMed. 3(1). 1–1. 1 indexed citations
2.
Tian, Guangming, et al.. (2023). Single-cell transcriptomics of pathological pregnancies. 2. 1 indexed citations
3.
4.
Ju, Weina, et al.. (2021). Functional outcomes and adverse effects following three interventions for displaced midshaft clavicular fractures: A Bayesian network meta-analysis of randomized controlled trials. Orthopaedics & Traumatology Surgery & Research. 107(8). 103066–103066. 3 indexed citations
5.
Wang, Jie, Xiucui Luo, Jing Pan, et al.. (2021). (Epi)genetic variants of the sarcomere-desmosome are associated with premature utero-contraction in spontaneous preterm labor. Environment International. 148. 106382–106382. 7 indexed citations
6.
Yang, Yu, et al.. (2020). Nasal delivery of a CRMP2-derived CBD3 adenovirus improves cognitive function and pathology in APP/PS1 transgenic mice. Molecular Brain. 13(1). 58–58. 12 indexed citations
7.
François‐Moutal, Liberty, Erik T. Dustrude, Yue Wang, et al.. (2018). Inhibition of the Ubc9 E2 SUMO-conjugating enzyme-CRMP2 interaction decreases NaV1.7 currents and reverses experimental neuropathic pain. PMC. 1 indexed citations
8.
Sun, Dahui, et al.. (2016). Vacuum sealing drainage therapy in the presence of an external fixation device. Medicine. 95(46). e5444–e5444. 2 indexed citations
9.
Pan, Jing, Gil Mor, Weina Ju, et al.. (2015). Viral Infection‐Induced Differential Expression of LncRNAs Associated with Collagen in Mouse Placentas and Amniotic Sacs. American Journal of Reproductive Immunology. 74(3). 237–257. 7 indexed citations
10.
Zhang, Fengling, Miao Xu, Jingzhi Zhang, et al.. (2014). Hypermethylation of the enolase gene (ENO2) in autism. European Journal of Pediatrics. 173(9). 1233–1244. 27 indexed citations
11.
Ju, Weina, et al.. (2013). Characterizing calcium influx via voltage- and ligand-gated calcium channels in embryonic Alligator neurons in culture. Translational Neuroscience. 4(3). 1 indexed citations
12.
Ju, Weina, et al.. (2013). SUMOylation alters CRMP2 regulation of calcium influx in sensory neurons. Channels. 7(3). 153–159. 35 indexed citations
13.
Dustrude, Erik T., Sarah M. Wilson, Weina Ju, Yucheng Xiao, & Rajesh Khanna. (2013). CRMP2 Protein SUMOylation Modulates NaV1.7 Channel Trafficking. Journal of Biological Chemistry. 288(34). 24316–24331. 80 indexed citations
14.
Ju, Weina, Ming Yan, Junhua Zou, et al.. (2010). Identification of differentially expressed transcripts and translatants targeted by knock-down of endogenous PCBP1. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(10). 1954–1964. 16 indexed citations
15.
Shen, Chen‐Yang, Xinliang Zhao, Weina Ju, et al.. (2010). A Proteomic Investigation of B Lymphocytes in an Autistic Family: A Pilot Study of Exposure to Natural Rubber Latex (NRL) May Lead to Autism. Journal of Molecular Neuroscience. 43(3). 443–452. 14 indexed citations
16.
Ju, Weina, Dan Wu, Li Wang, et al.. (2010). A two-dimensional protein fragmentation-proteomic study of neuronal ceroid lipofuscinoses: Identification and characterization of differentially expressed proteins. Journal of Chromatography B. 879(5-6). 304–316. 7 indexed citations
17.
He, Bing, Junyan Li, Gang Wang, et al.. (2009). Association of genetic polymorphisms in the type II deiodinase gene with bipolar disorder in a subset of Chinese population. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 33(6). 986–990. 41 indexed citations
18.
Zhong, Nanbert, Krystyna E. Wisniewski, Weina Ju, et al.. (2000). Molecular Diagnosis of and Carrier Screening for the Neuronal Ceroid Lipofuscinoses. Genetic Testing. 4(3). 243–248. 9 indexed citations
19.
Zhong, Nan, Weina Ju, David L. Nelson, Carl Dobkin, & W. Ted Brown. (1999). Reduced mRNA for G3BP in fragile X cells: Evidence of FMR1 gene regulation. American Journal of Medical Genetics. 84(3). 268–271. 16 indexed citations
20.
Rubenstein, Richard, Hui Deng, Richard Race, et al.. (1994). Scrapie strain infection in vitro induces changes in neuronal cells. Molecular Neurobiology. 8(2-3). 129–138. 10 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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