Christina Tu

2.8k total citations
18 papers, 1.5k citations indexed

About

Christina Tu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Christina Tu has authored 18 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 7 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Christina Tu's work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and 3D Printing in Biomedical Research (5 papers). Christina Tu is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and 3D Printing in Biomedical Research (5 papers). Christina Tu collaborates with scholars based in United States, Australia and United Kingdom. Christina Tu's co-authors include Carl W. Cotman, Anne Marion Taylor, David H. Cribbs, Seog Woo Rhee, Noo Li Jeon, Mathew Blurton‐Jones, Nicole C. Berchtold, Victoria M. Perreau, Jonathan Hasselmann and Hayk Davtyan and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Christina Tu

16 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Tu United States 12 562 542 463 274 235 18 1.5k
Javier Jarazo Luxembourg 17 875 1.6× 407 0.8× 291 0.6× 285 1.0× 164 0.7× 29 1.5k
Zheng Qin Yin China 26 1.4k 2.5× 546 1.0× 205 0.4× 266 1.0× 113 0.5× 122 2.3k
Christopher Sliwinski Germany 7 702 1.2× 547 1.0× 336 0.7× 223 0.8× 498 2.1× 8 1.6k
Mahmud Bani‐Yaghoub Canada 22 1.1k 1.9× 344 0.6× 181 0.4× 189 0.7× 114 0.5× 41 1.8k
Veerle Reumers Belgium 19 495 0.9× 401 0.7× 194 0.4× 164 0.6× 128 0.5× 33 1.2k
Eun‐Mi Hur South Korea 23 1.2k 2.1× 768 1.4× 277 0.6× 136 0.5× 230 1.0× 45 2.3k
Jennifer McDonough United States 23 843 1.5× 247 0.5× 143 0.3× 338 1.2× 173 0.7× 50 1.9k
E. Marani Netherlands 25 449 0.8× 736 1.4× 276 0.6× 240 0.9× 131 0.6× 126 1.6k
Massimo Righi Italy 11 514 0.9× 829 1.5× 308 0.7× 86 0.3× 191 0.8× 12 1.5k
Julius A. Steinbeck United States 13 1.1k 1.9× 726 1.3× 188 0.4× 249 0.9× 169 0.7× 15 1.8k

Countries citing papers authored by Christina Tu

Since Specialization
Citations

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

Fields of papers citing papers by Christina Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Tu. A scholar is included among the top collaborators of Christina Tu 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 Christina Tu. Christina Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Coburn, Morgan, Ghazaleh Eskandari‐Sedighi, Jonathan Hasselmann, et al.. (2025). Human microglia differentially respond to β‐amyloid, tau, and combined Alzheimer's disease pathologies in vivo. Alzheimer s & Dementia. 21(11). e70930–e70930.
2.
Wang, Shuxiong, Christina Tu, Quy Nguyen, et al.. (2025). Sequential emergence and contraction of epithelial subtypes in the prenatal human choroid plexus revealed by a stem cell model. Nature Communications. 16(1). 5149–5149.
3.
Chadarevian, Jean Paul, Hayk Davtyan, Jasmine Nguyen, et al.. (2025). Harnessing human iPSC-microglia for CNS-wide delivery of disease-modifying proteins. Cell stem cell. 32(6). 914–934.e8. 10 indexed citations
4.
Chadarevian, Jean Paul, Jonathan Hasselmann, Christina Tu, et al.. (2024). Therapeutic potential of human microglia transplantation in a chimeric model of CSF1R-related leukoencephalopathy. Neuron. 112(16). 2686–2707.e8. 31 indexed citations
5.
Claes, Christel, Whitney England, Emma Danhash, et al.. (2022). The P522R protective variant of PLCG2 promotes the expression of antigen presentation genes by human microglia in an Alzheimer's disease mouse model. Alzheimer s & Dementia. 18(10). 1765–1778. 31 indexed citations
6.
McQuade, Amanda, Morgan Coburn, Christina Tu, et al.. (2018). Development and validation of a simplified method to generate human microglia from pluripotent stem cells. Molecular Neurodegeneration. 13(1). 67–67. 233 indexed citations
7.
Wong, Pamela T., Shengzhuang Tang, Yumay Chen, et al.. (2014). 4-Hydroxytamoxifen probes for light-dependent spatiotemporal control of Cre-ER mediated reporter gene expression. Molecular BioSystems. 11(3). 783–790. 31 indexed citations
8.
Kong, Yen P., Christina Tu, Peter J. Donovan, & Albert F. Yee. (2013). Expression of Oct4 in human embryonic stem cells is dependent on nanotopographical configuration. Acta Biomaterialia. 9(5). 6369–6380. 51 indexed citations
9.
Taylor, Anne Marion, Nicole C. Berchtold, Victoria M. Perreau, et al.. (2009). Axonal mRNA in Uninjured and Regenerating Cortical Mammalian Axons. Journal of Neuroscience. 29(15). 4697–4707. 272 indexed citations
10.
Poon, Wayne W., Mathew Blurton‐Jones, Christina Tu, et al.. (2009). β-Amyloid impairs axonal BDNF retrograde trafficking. Neurobiology of Aging. 32(5). 821–833. 163 indexed citations
11.
Harris, Joseph, Hyuna Lee, Behrad Vahidi, et al.. (2007). Fabrication of a Microfluidic Device for the Compartmentalization of Neuron Soma and Axons. Journal of Visualized Experiments. 261–261. 9 indexed citations
12.
Christie, Lori‐Ann, et al.. (2007). Differential regulation of inhibitors of apoptosis proteins in Alzheimer’s disease brains. Neurobiology of Disease. 26(1). 165–173. 28 indexed citations
13.
Harris, Joseph, Hyuna Lee, Behrad Vahidi, et al.. (2007). Fabrication of a Microfluidic Device for the Compartmentalization of Neuron Soma and Axons. Journal of Visualized Experiments. 2 indexed citations
14.
Rhee, Seog Woo, Anne Marion Taylor, Christina Tu, et al.. (2004). Patterned cell culture inside microfluidic devices. Lab on a Chip. 5(1). 102–102. 234 indexed citations
15.
Kim, Dong, Xiurong Zhao, Christina Tu, Patrizia Casaccia‐Bonnefil, & Moses V. Chao. (2004). Prevention of apoptotic but not necrotic cell death following neuronal injury by neurotrophins signaling through the tyrosine kinase receptor. Journal of neurosurgery. 100(1). 79–87. 40 indexed citations
16.
Su, Joseph H., Aileen J. Anderson, David H. Cribbs, et al.. (2003). Fas and Fas Ligand are associated with neuritic degeneration in the AD brain and participate in β-amyloid-induced neuronal death. Neurobiology of Disease. 12(3). 182–193. 75 indexed citations
17.
Taylor, Anne Marion, Seog Woo Rhee, Christina Tu, et al.. (2002). Microfluidic Multicompartment Device for Neuroscience Research. Langmuir. 19(5). 1551–1556. 240 indexed citations
18.
Beckman, David A. & Christina Tu. (1997). Leucine sources for 10.5-day rat conceptus in vivo. Reproductive Toxicology. 11(6). 875–877. 5 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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