Xiaolin Tian

3.1k total citations · 2 hit papers
30 papers, 2.3k citations indexed

About

Xiaolin Tian is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Periodontics. According to data from OpenAlex, Xiaolin Tian has authored 30 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Public Health, Environmental and Occupational Health and 7 papers in Periodontics. Recurrent topics in Xiaolin Tian's work include Streptococcal Infections and Treatments (8 papers), Oral microbiology and periodontitis research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Xiaolin Tian is often cited by papers focused on Streptococcal Infections and Treatments (8 papers), Oral microbiology and periodontitis research (7 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Xiaolin Tian collaborates with scholars based in Canada, United States and China. Xiaolin Tian's co-authors include Yung-Hua Li, Raphael Kopan, Adam Griesemer, Jeff S. Mumm, Eric H. Schroeter, Meera Saxena, William J. Ray, Duojia Pan, Hui‐Teng Cheng and Xudong Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Nature Neuroscience.

In The Last Decade

Xiaolin Tian

30 papers receiving 2.3k citations

Hit Papers

A Ligand-Induced Extracellular Cleavage Regulates γ-Secre... 2000 2026 2008 2017 2000 2012 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
Xiaolin Tian Canada 18 1.6k 288 243 240 186 30 2.3k
Eriko Isogai Japan 27 1.0k 0.6× 109 0.4× 406 1.7× 126 0.5× 103 0.6× 68 2.1k
Richard B. Presland United States 30 981 0.6× 1.0k 3.6× 138 0.6× 197 0.8× 104 0.6× 52 3.7k
Luca Cozzuto Spain 22 1.4k 0.9× 82 0.3× 116 0.5× 190 0.8× 67 0.4× 43 1.9k
Sven‐Ulrik Gorr United States 31 1.5k 0.9× 547 1.9× 512 2.1× 133 0.6× 1.1k 5.9× 60 2.8k
Erin M. Anderson Canada 23 1.1k 0.7× 64 0.2× 102 0.4× 217 0.9× 107 0.6× 40 2.1k
Mataleena Parikka Finland 28 825 0.5× 340 1.2× 64 0.3× 110 0.5× 54 0.3× 59 2.0k
Falk F. R. Buettner Germany 25 1.2k 0.7× 161 0.6× 35 0.1× 125 0.5× 245 1.3× 73 1.8k
Françoise Bleicher France 32 1.3k 0.8× 133 0.5× 370 1.5× 251 1.0× 41 0.2× 63 2.7k
Sally Dabelsteen Denmark 25 1.4k 0.9× 225 0.8× 70 0.3× 117 0.5× 30 0.2× 48 2.7k
Yong Zhu United States 22 2.1k 1.3× 162 0.6× 29 0.1× 310 1.3× 89 0.5× 51 3.3k

Countries citing papers authored by Xiaolin Tian

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolin Tian. A scholar is included among the top collaborators of Xiaolin Tian 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 Xiaolin Tian. Xiaolin Tian 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.
Tian, Xiaolin. (2021). Enhancing mask activity in dopaminergic neurons extends lifespan in flies. Aging Cell. 20(11). e13493–e13493. 4 indexed citations
2.
Martinez, Daniel A., et al.. (2021). Mask, the Drosophila ankyrin repeat and KH domain-containing protein, affects microtubule stability. Journal of Cell Science. 134(20). 6 indexed citations
3.
Tian, Xiaolin, et al.. (2019). Antimicrobial resistance and virulence genes of Streptococcus isolated from dairy cows with mastitis in China. Microbial Pathogenesis. 131. 33–39. 49 indexed citations
5.
Li, Yung-Hua, Xingxing Huang, & Xiaolin Tian. (2017). Recent advances in dental biofilm: impacts of microbial interactions on the biofilm ecology and pathogenesis. SHILAP Revista de lepidopterología. 4(3). 335–350. 9 indexed citations
6.
Zhu, Mingwei, Sheng Zhang, Xiaolin Tian, & Chunlai Wu. (2017). Mask mitigates MAPT- and FUS-induced degeneration by enhancing autophagy through lysosomal acidification. Autophagy. 13(11). 1924–1938. 21 indexed citations
8.
Wu, Chunlai & Xiaolin Tian. (2015). Active zone stability: insights from fly neuromuscular junction. SHILAP Revista de lepidopterología. 10(5). 677–677. 4 indexed citations
9.
Zhu, Mingwei, Xia Li, Xiaolin Tian, & Chunlai Wu. (2015). Mask loss-of-function rescues mitochondrial impairment and muscle degeneration of Drosophila pink1 and parkin mutants. Human Molecular Genetics. 24(11). 3272–3285. 20 indexed citations
10.
Dong, Gaofeng, et al.. (2014). Regulated proteolysis of the alternative sigma factor SigX in Streptococcus mutans: implication in the escape from competence. BMC Microbiology. 14(1). 183–183. 25 indexed citations
11.
Tian, Xiaolin, Mingwei Zhu, Long Li, & Chunlai Wu. (2013). Identifying Protein-protein Interaction in <em>Drosophila</em> Adult Heads by Tandem Affinity Purification (TAP). Journal of Visualized Experiments. 50968–50968. 7 indexed citations
12.
Tian, Xiaolin & Chunlai Wu. (2013). The role of ubiquitin‐mediated pathways in regulating synaptic development, axonal degeneration and regeneration: insights from fly and worm. The Journal of Physiology. 591(13). 3133–3143. 14 indexed citations
13.
Tian, Xiaolin, Jing Li, Vera Valakh, Aaron DiAntonio, & Chunlai Wu. (2011). Drosophila Rae1 controls the abundance of the ubiquitin ligase Highwire in post-mitotic neurons. Nature Neuroscience. 14(10). 1267–1275. 40 indexed citations
14.
Gong, Yongxing, Xiaolin Tian, Tara D. Sutherland, et al.. (2009). Global transcriptional analysis of acid-inducible genes in Streptococcus mutans: multiple two-component systems involved in acid adaptation. Microbiology. 155(10). 3322–3332. 49 indexed citations
16.
Syvitski, Raymond T., et al.. (2007). Structure-Activity Analysis of Quorum-Sensing Signaling Peptides from Streptococcus mutans. Journal of Bacteriology. 189(4). 1441–1450. 45 indexed citations
17.
Tian, Xiaolin, Dave Hansen, Tim Schedl, & James B. Skeath. (2004). Epsin potentiates Notchpathway activity in Drosophilaand C. elegans. PRISM (University of Calgary). 3 indexed citations
18.
Yang, Xudong, Rüdiger Klein, Xiaolin Tian, et al.. (2004). Notch activation induces apoptosis in neural progenitor cells through a p53-dependent pathway. Developmental Biology. 269(1). 81–94. 252 indexed citations
19.
Pan, Yonghua, Meei‐Hua Lin, Xiaolin Tian, et al.. (2004). γ-Secretase Functions through Notch Signaling to Maintain Skin Appendages but Is Not Required for Their Patterning or Initial Morphogenesis. Developmental Cell. 7(5). 731–743. 241 indexed citations
20.
Mumm, Jeff S., Eric H. Schroeter, Meera Saxena, et al.. (2000). A Ligand-Induced Extracellular Cleavage Regulates γ-Secretase-like Proteolytic Activation of Notch1. Molecular Cell. 5(2). 197–206. 693 indexed citations breakdown →

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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