Jia Tu

1.9k total citations
29 papers, 1.4k citations indexed

About

Jia Tu is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Jia Tu has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Electrical and Electronic Engineering and 6 papers in Aerospace Engineering. Recurrent topics in Jia Tu's work include Metabolomics and Mass Spectrometry Studies (9 papers), Advanced Wireless Communication Techniques (7 papers) and Power Line Communications and Noise (5 papers). Jia Tu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Advanced Wireless Communication Techniques (7 papers) and Power Line Communications and Noise (5 papers). Jia Tu collaborates with scholars based in China, United States and Hong Kong. Jia Tu's co-authors include Zheng‐Jiang Zhu, J.M. Cioffi, Zhiwei Zhou, J.S. Chow, Xiaotao Shen, Xin Xiong, P.S. Chow, Meimei Xu, Defeng Gu and Ruohong Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Jia Tu

26 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia Tu China	15	632	466	412	202	94	29	1.4k
Xuesong Liu China	25	564 0.9×	128 0.3×	111 0.3×	54 0.3×	72 0.8×	143	2.1k
Thomas Wiese United States	27	795 1.3×	210 0.5×	79 0.2×	64 0.3×	44 0.5×	59	2.0k
Carlo F. Morelli Italy	20	511 0.8×	187 0.4×	31 0.1×	51 0.3×	40 0.4×	86	1.3k
Stephen E. Reichenbach United States	31	652 1.0×	82 0.2×	1.3k 3.2×	19 0.1×	30 0.3×	119	2.7k
Hongwei Kong China	22	428 0.7×	330 0.7×	504 1.2×	56 0.3×	13 0.1×	42	1.4k
Yunjiang Feng Australia	29	938 1.5×	97 0.2×	79 0.2×	14 0.1×	12 0.1×	135	2.8k
D.L. Massart Belgium	25	350 0.6×	62 0.1×	389 0.9×	11 0.1×	60 0.6×	48	2.4k
Zhenqiang Su United States	21	817 1.3×	131 0.3×	51 0.1×	29 0.1×	22 0.2×	47	1.5k
George C. Clark United States	22	310 0.5×	660 1.4×	20 0.0×	599 3.0×	55 0.6×	46	2.3k
Ning Cao China	18	837 1.3×	247 0.5×	12 0.0×	137 0.7×	19 0.2×	130	1.6k

Countries citing papers authored by Jia Tu

Since Specialization

Citations

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

Fields of papers citing papers by Jia Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Tu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tu, Jia, Jie Peng, Wen Li, et al.. (2025). Antioxidant Peptides Derived from Woody Oil Resources: Mechanisms of Redox Protection and Emerging Therapeutic Opportunities. Pharmaceuticals. 18(6). 842–842.

Zhao, Chunyu, Jia Tu, Chuchu Wang, et al.. (2024). Lysophosphatidylcholine binds α-synuclein and prevents its pathological aggregation. National Science Review. 11(6). nwae182–nwae182. 8 indexed citations

Lai, Ying, Chunyu Zhao, Chuchu Wang, et al.. (2023). Neutral lysophosphatidylcholine mediates α-synuclein-induced synaptic vesicle clustering. Proceedings of the National Academy of Sciences. 120(44). e2310174120–e2310174120. 14 indexed citations

Tu, Jia, et al.. (2021). Covert communications with channel inversion power control in uplink NOMA systems. Electronics Letters. 57(9). 360–362. 1 indexed citations

Wang, Chuchu, Jia Tu, Shengnan Zhang, et al.. (2020). Different regions of synaptic vesicle membrane regulate VAMP2 conformation for the SNARE assembly. Nature Communications. 11(1). 1531–1531. 37 indexed citations

Li, Zhenwei, Jinjun Hou, Yanping Deng, et al.. (2019). Exploring the protective effects of Danqi Tongmai tablet on acute myocardial ischemia rats by comprehensive metabolomics profiling. Phytomedicine. 74. 152918–152918. 26 indexed citations

Jia, Huixun, Xiaotao Shen, Yun Guan, et al.. (2018). Predicting the pathological response to neoadjuvant chemoradiation using untargeted metabolomics in locally advanced rectal cancer. Radiotherapy and Oncology. 128(3). 548–556. 48 indexed citations

Gu, Defeng, Bing Ju, Junhong Liu, & Jia Tu. (2017). Enhanced GPS-based GRACE baseline determination by using a new strategy for ambiguity resolution and relative phase center variation corrections. Acta Astronautica. 138. 176–184. 33 indexed citations

Tu, Jia, Yandong Yin, Meimei Xu, Ruohong Wang, & Zheng‐Jiang Zhu. (2017). Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain. Metabolomics. 14(1). 5–5. 78 indexed citations

10.

Zhou, Zhiwei, Jia Tu, & Zheng‐Jiang Zhu. (2017). Advancing the large-scale CCS database for metabolomics and lipidomics at the machine-learning era. Current Opinion in Chemical Biology. 42. 34–41. 59 indexed citations

11.

Zhou, Zhiwei, Jia Tu, Xin Xiong, Xiaotao Shen, & Zheng‐Jiang Zhu. (2017). LipidCCS: Prediction of Collision Cross-Section Values for Lipids with High Precision To Support Ion Mobility–Mass Spectrometry-Based Lipidomics. Analytical Chemistry. 89(17). 9559–9566. 172 indexed citations

12.

Zhou, Zhiwei, Xiaotao Shen, Jia Tu, & Zheng‐Jiang Zhu. (2016). Large-Scale Prediction of Collision Cross-Section Values for Metabolites in Ion Mobility-Mass Spectrometry. Analytical Chemistry. 88(22). 11084–11091. 169 indexed citations

13.

Shen, Xiaotao, Xiaoyun Gong, Yuping Cai, et al.. (2016). Normalization and integration of large-scale metabolomics data using support vector regression. Metabolomics. 12(5). 132 indexed citations

14.

Yang, Wendong, et al.. (2014). Performance Analysis of Two-Way OFDM Relay Systems with Ordered Subcarrier Pairing. Frequenz. 68(5-6).

15.

Tu, Jia, Defeng Gu, Yi Wu, Dongyun Yi, & Jiasong Wang. (2012). Phase Error Modeling and Its Impact on Precise Orbit Determination of GRACE Satellites. Mathematical Problems in Engineering. 2012(1). 1 indexed citations

16.

Tu, Jia & J.M. Cioffi. (2002). A landing algorithm for the concatenation of coset codes with multichannel modulation methods. 7. 1183–1187. 8 indexed citations

17.

Tu, Jia. (2002). Optimum MMSE equalization for staggered modulation. 1401–1406. 11 indexed citations

18.

Chow, P.S., Jia Tu, & J.M. Cioffi. (1991). Performance evaluation of a multichannel transceiver system for ADSL and VHDSL services. IEEE Journal on Selected Areas in Communications. 9(6). 909–919. 112 indexed citations

19.

Chow, J.S., Jia Tu, & J.M. Cioffi. (1991). A discrete multitone transceiver system for HDSL applications. IEEE Journal on Selected Areas in Communications. 9(6). 895–908. 340 indexed citations

20.

Chow, J.S., Jia Tu, & J.M. Cioffi. (1990). A computationally efficient adaptive transceiver for high-speed digital subscriber lines. 1750–1754 vol.4. 3 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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