Junxia Tang

933 total citations
20 papers, 728 citations indexed

About

Junxia Tang is a scholar working on Molecular Biology, Developmental Neuroscience and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Junxia Tang has authored 20 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Developmental Neuroscience and 7 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Junxia Tang's work include Anesthesia and Neurotoxicity Research (8 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). Junxia Tang is often cited by papers focused on Anesthesia and Neurotoxicity Research (8 papers), Intensive Care Unit Cognitive Disorders (7 papers) and Neuroscience and Neuropharmacology Research (3 papers). Junxia Tang collaborates with scholars based in China, United States and United Kingdom. Junxia Tang's co-authors include Maryellen F. Eckenhoff, Roderic G. Eckenhoff, Yi‐Ju Li, Dimitry Baranov, Michael Hammond, Lin He, Niufan Gu, Guoyin Feng, Guang He and Sean T. Garrity and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Annals of Surgery.

In The Last Decade

Junxia Tang

19 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junxia Tang China 16 281 277 239 126 117 20 728
Marco Gruß Germany 12 184 0.7× 122 0.4× 313 1.3× 18 0.1× 230 2.0× 22 731
Giuseppina Talarico Italy 14 84 0.3× 85 0.3× 167 0.7× 14 0.1× 79 0.7× 34 584
Aleksandar R. Zivkovic Germany 13 67 0.2× 69 0.2× 254 1.1× 33 0.3× 458 3.9× 25 829
Eric L. Goldwaser United States 12 51 0.2× 54 0.2× 142 0.6× 21 0.2× 58 0.5× 45 554
Robert M. Dietz United States 16 87 0.3× 58 0.2× 190 0.8× 18 0.1× 245 2.1× 32 710
Valerie B. Caraiscos Canada 8 109 0.4× 26 0.1× 254 1.1× 26 0.2× 537 4.6× 13 893
James E. Orfila United States 14 64 0.2× 63 0.2× 158 0.7× 12 0.1× 219 1.9× 36 553
Ross G. Vickery United States 13 53 0.2× 34 0.1× 316 1.3× 15 0.1× 283 2.4× 24 717
Thomas Gillessen Germany 12 47 0.2× 17 0.1× 170 0.7× 23 0.2× 312 2.7× 14 563

Countries citing papers authored by Junxia Tang

Since Specialization
Citations

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

Fields of papers citing papers by Junxia Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxia Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Junxia Tang. A scholar is included among the top collaborators of Junxia Tang 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 Junxia Tang. Junxia Tang 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.
Tang, Junxia & Haiqiang Niu. (2025). Physics-informed neural network with pretraining optimization for ocean acoustic field prediction. The Journal of the Acoustical Society of America. 158(5). 3846–3860.
2.
Tang, Junxia, et al.. (2021). Liver kinase B1 (LKB1) reduced inflammation and oxidative stress by regulating the AMPK/NLRP3 signaling pathway in LPS-induced lung injury. Molecular & Cellular Toxicology. 17(4). 385–395. 3 indexed citations
3.
Li, Wuyan, et al.. (2021). Salidroside Induces Apoptosis in Human Gastric Cancer Cells <i>via</i> the Downregulation of ENO1/PKM2/GLUT1 Expression. Biological and Pharmaceutical Bulletin. 44(11). 1724–1731. 20 indexed citations
5.
Zhang, Yuzhu, Zhenzhen Chen, Junxia Tang, et al.. (2017). Protective effect of propofol preconditioning on ischemia-reperfusion injury in human hepatocyte. Journal of Thoracic Disease. 9(3). 702–710. 14 indexed citations
6.
Tang, Junxia, et al.. (2016). Effects of propofol and surgery on neuropathology and cognition in the 3xTgAD Alzheimer transgenic mouse model. British Journal of Anaesthesia. 119(3). 472–480. 29 indexed citations
7.
Larimore, Jennifer, Stephanie A. Zlatic, Avanti Gokhale, et al.. (2014). Mutations in the BLOC-1 Subunits Dysbindin and Muted Generate Divergent and Dosage-dependent Phenotypes. Journal of Biological Chemistry. 289(20). 14291–14300. 30 indexed citations
8.
Tang, Junxia, Jun Peng, Huafeng Wei, et al.. (2012). Neurodevelopmental Consequences of Sub-Clinical Carbon Monoxide Exposure in Newborn Mice. PLoS ONE. 7(2). e32029–e32029. 22 indexed citations
9.
Tang, Junxia, et al.. (2012). Modulation of Murine Alzheimer Pathogenesis and Behavior by Surgery. Annals of Surgery. 257(3). 439–448. 51 indexed citations
10.
Tang, Junxia & Maryellen F. Eckenhoff. (2012). Anesthetic effects in Alzheimer transgenic mouse models. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 47. 167–171. 15 indexed citations
11.
Tang, Junxia, Dimitry Baranov, Michael Hammond, et al.. (2011). Human Alzheimer and Inflammation Biomarkers after Anesthesia and Surgery. Anesthesiology. 115(4). 727–732. 155 indexed citations
12.
Tang, Junxia, Maryellen F. Eckenhoff, & Roderic G. Eckenhoff. (2011). Anesthetic modulation of neuroinflammation in Alzheimer's disease. Current Opinion in Anaesthesiology. 24(4). 389–394. 21 indexed citations
13.
Tang, Junxia, et al.. (2011). Anesthesia in presymptomatic Alzheimer's disease: A study using the triple‐transgenic mouse model. Alzheimer s & Dementia. 7(5). 521–521. 44 indexed citations
14.
Tang, Junxia, Maryellen F. Eckenhoff, & Roderic G. Eckenhoff. (2010). Anesthesia and the Old Brain. Anesthesia & Analgesia. 110(2). 421–426. 46 indexed citations
15.
Liu, Jixia, Yongyong Shi, Junxia Tang, et al.. (2005). SNPs and haplotypes in the S100B gene reveal association with schizophrenia. Biochemical and Biophysical Research Communications. 328(1). 335–341. 63 indexed citations
16.
Shen, Yifeng, Huafang Li, Niufan Gu, et al.. (2004). Relationship between suicidal behavior of psychotic inpatients and serotonin transporter gene in Han Chinese. Neuroscience Letters. 372(1-2). 94–98. 26 indexed citations
17.
Wang, Xiaoyan, Guang He, Niufan Gu, et al.. (2004). Association of G72/G30 with schizophrenia in the Chinese population. Biochemical and Biophysical Research Communications. 319(4). 1281–1286. 79 indexed citations
18.
Shi, Yongyong, Xinzhi Zhao, Lan Yu, et al.. (2004). Genetic Structure Adds Power to Detect Schizophrenia Susceptibility at SLIT3 in the Chinese Han Population. Genome Research. 14(7). 1345–1349. 30 indexed citations
19.
Fan, Jinbo, et al.. (2003). A family-based association study of T1945C polymorphism in the proline dehydrogenase gene and schizophrenia in the Chinese population. Neuroscience Letters. 338(3). 252–254. 31 indexed citations
20.
Fan, Juan, Junxia Tang, Ning Gu, et al.. (2002). A family-based and case-control association study of the NOTCH4 gene and schizophrenia. Molecular Psychiatry. 7(1). 100–103. 40 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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