Xiaolong Tu

4.0k total citations · 2 hit papers
62 papers, 2.8k citations indexed

About

Xiaolong Tu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Xiaolong Tu has authored 62 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 18 papers in Biomedical Engineering and 15 papers in Molecular Biology. Recurrent topics in Xiaolong Tu's work include Electrochemical sensors and biosensors (17 papers), Electrochemical Analysis and Applications (13 papers) and 3D Printing in Biomedical Research (7 papers). Xiaolong Tu is often cited by papers focused on Electrochemical sensors and biosensors (17 papers), Electrochemical Analysis and Applications (13 papers) and 3D Printing in Biomedical Research (7 papers). Xiaolong Tu collaborates with scholars based in China, France and United States. Xiaolong Tu's co-authors include Yufei Ma, Yongfang Yu, Limin Lu, Xue Ma, Zhijun Zhang, Feng Gao, Xigen Huang, He Shen, Fengli Qu and Yu Xie and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Biomaterials.

In The Last Decade

Xiaolong Tu

56 papers receiving 2.8k citations

Hit Papers

The in vitro and in vivo toxicity of graphene quantum dots 2014 2026 2018 2022 2014 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolong Tu China 28 983 855 852 686 354 62 2.8k
Xiaoying Wang China 38 966 1.0× 2.5k 3.0× 1.2k 1.4× 1.6k 2.4× 479 1.4× 209 5.7k
Qilong Li China 28 424 0.4× 780 0.9× 287 0.3× 394 0.6× 232 0.7× 176 2.5k
Jinhua Zhou China 33 394 0.4× 1.0k 1.2× 402 0.5× 725 1.1× 123 0.3× 124 2.8k
Shuang Dong China 26 597 0.6× 464 0.5× 257 0.3× 883 1.3× 287 0.8× 113 2.3k
Xinhua Huang China 26 531 0.5× 511 0.6× 381 0.4× 890 1.3× 106 0.3× 99 2.8k
Zhu Chen China 30 395 0.4× 1.6k 1.8× 2.1k 2.5× 322 0.5× 153 0.4× 118 3.8k
Xianghong Li China 33 669 0.7× 1.8k 2.1× 450 0.5× 194 0.3× 73 0.2× 159 3.7k
Pengbo Zhang China 30 719 0.7× 1.4k 1.6× 857 1.0× 222 0.3× 71 0.2× 121 3.1k
Juan C. Cruz Colombia 26 250 0.3× 988 1.2× 634 0.7× 410 0.6× 143 0.4× 126 2.5k
Hongmei Cao China 42 1.9k 1.9× 1.8k 2.1× 1.2k 1.4× 2.2k 3.2× 249 0.7× 159 5.5k

Countries citing papers authored by Xiaolong Tu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolong Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolong Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolong Tu. A scholar is included among the top collaborators of Xiaolong 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 Xiaolong Tu. Xiaolong Tu 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.
Gao, Zhendong, Ying Lu, Jieyun Hong, et al.. (2024). Genomic and transcriptomic landscape to decipher the genetic basis of hyperpigmentation in Lanping black-boned sheep (Ovis aries). BMC Genomics. 25(1). 845–845. 7 indexed citations
2.
Ma, Yan, Qichao Wu, Xiaolong Tu, et al.. (2023). Resequencing of Rosa rugosa accessions revealed the history of population dynamics, breed origin, and domestication pathways. BMC Plant Biology. 23(1). 235–235. 10 indexed citations
3.
An, Xiaoyu, et al.. (2023). Abstract 2980: HX009, a first-in-class PD1xCD47 BsAb, demonstrated anti-AML activity in PDX models. Cancer Research. 83(7_Supplement). 2980–2980. 1 indexed citations
4.
Zhang, Faming, Jingjing Wang, Xiaoyu An, et al.. (2023). HX009, a novel BsAb dual targeting PD1 x CD47, demonstrates potent anti-lymphoma activity in preclinical models. Scientific Reports. 13(1). 5419–5419. 15 indexed citations
6.
Yuan, Lamei, Sheng Deng, Xia Hong, et al.. (2022). Identification of DNAH17 Variants in Han-Chinese Patients With Left–Right Asymmetry Disorders. Frontiers in Genetics. 13. 862292–862292. 6 indexed citations
7.
Gao, Feng, Xiaolong Tu, Yongfang Yu, et al.. (2021). Core–shell Cu@C@ZIF-8 composite: a high-performance electrode material for electrochemical sensing of nitrite with high selectivity and sensitivity. Nanotechnology. 33(22). 225501–225501. 16 indexed citations
8.
Wang, Zheng, Ailong Fan, Xiaolong Tu, & Nikola Vladimir. (2021). An energy efficiency practice for coastal bulk carrier: Speed decision and benefit analysis. Regional Studies in Marine Science. 47. 101988–101988. 20 indexed citations
9.
Gao, Feng, Jin Zou, Wei Zhong, et al.. (2020). Prussian blue-carboxylated MWCNTs/ZIF-67 composite: a new electrochemical sensing platform for paracetamol detection with high sensitivity. Nanotechnology. 32(8). 85501–85501. 18 indexed citations
10.
Ma, Xue, Xiaolong Tu, Feng Gao, et al.. (2020). Hierarchical porous MXene/amino carbon nanotubes-based molecular imprinting sensor for highly sensitive and selective sensing of fisetin. Sensors and Actuators B Chemical. 309. 127815–127815. 150 indexed citations
11.
Tu, Xiaolong, Feng Gao, Xue Ma, et al.. (2020). Mxene/carbon nanohorn/β-cyclodextrin-Metal-organic frameworks as high-performance electrochemical sensing platform for sensitive detection of carbendazim pesticide. Journal of Hazardous Materials. 396. 122776–122776. 278 indexed citations breakdown →
12.
13.
Zou, Jin, Wei Zhong, Feng Gao, et al.. (2020). Sensitive electrochemical platform for trace determination of Pb2+ based on multilayer Bi-MOFs/reduced graphene oxide films modified electrode. Microchimica Acta. 187(11). 603–603. 32 indexed citations
15.
Xie, Yu, Feng Gao, Xiaolong Tu, et al.. (2019). Facile Synthesis of MXene/Electrochemically Reduced Graphene Oxide Composites and Their Application for Electrochemical Sensing of Carbendazim. Journal of The Electrochemical Society. 166(16). B1673–B1680. 87 indexed citations
16.
Xie, Yu, Xiaolong Tu, Xue Ma, et al.. (2019). High-performance voltammetric sensor for dichlorophenol based on β -cyclodextrin functionalized boron-doped graphene composite aerogels. Nanotechnology. 30(18). 185502–185502. 13 indexed citations
17.
Zeng, Lin, Xiaolong Tu, He Dai, et al.. (2019). Whole genomes and transcriptomes reveal adaptation and domestication of pistachio. Genome biology. 20(1). 79–79. 73 indexed citations
18.
Li, Huanan, Huimin Cai, Jia Deng, et al.. (2017). TGF-β-mediated upregulation of Sox9 in fibroblast promotes renal fibrosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(2). 520–532. 46 indexed citations
19.
Wang, Mingshan, Yán Li, Min‐Sheng Peng, et al.. (2015). Genomic Analyses Reveal Potential Independent Adaptation to High Altitude in Tibetan Chickens. Molecular Biology and Evolution. 32(7). 1880–1889. 154 indexed citations
20.
Zhang, Jingcheng, Haiyan Zhang, Junyu Liu, et al.. (2011). miR-30 inhibits TGF-β1-induced epithelial-to-mesenchymal transition in hepatocyte by targeting Snail1. Biochemical and Biophysical Research Communications. 417(3). 1100–1105. 135 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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