Xin Lu

3.1k total citations
94 papers, 2.3k citations indexed

About

Xin Lu is a scholar working on Molecular Biology, Spectroscopy and Biomedical Engineering. According to data from OpenAlex, Xin Lu has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 29 papers in Spectroscopy and 21 papers in Biomedical Engineering. Recurrent topics in Xin Lu's work include Metabolomics and Mass Spectrometry Studies (55 papers), Analytical Chemistry and Chromatography (24 papers) and Advanced Chemical Sensor Technologies (20 papers). Xin Lu is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (55 papers), Analytical Chemistry and Chromatography (24 papers) and Advanced Chemical Sensor Technologies (20 papers). Xin Lu collaborates with scholars based in China, Germany and United States. Xin Lu's co-authors include Guowang Xu, Chunxia Zhao, Xinjie Zhao, Xiaohui Lin, Zhongda Zeng, Yanni Zhao, Peiyuan Yin, Yanqing Fu, Wenzhao Wang and Changmin Bai and has published in prestigious journals such as The Astrophysical Journal, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Xin Lu

89 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Lu China 28 1.5k 515 373 340 224 94 2.3k
Yan Ma China 18 2.3k 1.6× 752 1.5× 430 1.2× 496 1.5× 313 1.4× 65 3.6k
H. Paul Benton United States 25 2.6k 1.8× 959 1.9× 565 1.5× 241 0.7× 124 0.6× 33 3.6k
María Vinaixa Spain 29 1.6k 1.1× 463 0.9× 540 1.4× 121 0.4× 110 0.5× 62 2.7k
Joaquín Abián Spain 37 1.6k 1.1× 844 1.6× 298 0.8× 686 2.0× 231 1.0× 147 4.2k
Giuseppe Paglia Italy 33 2.1k 1.4× 1.3k 2.5× 357 1.0× 151 0.4× 176 0.8× 88 3.7k
Tomáš Pluskal United States 25 3.4k 2.3× 836 1.6× 482 1.3× 794 2.3× 262 1.2× 45 5.0k
I. Bobeldijk Netherlands 19 1.1k 0.7× 388 0.8× 212 0.6× 138 0.4× 149 0.7× 34 2.0k
Winnie Uritboonthai United States 10 1.6k 1.1× 812 1.6× 304 0.8× 112 0.3× 103 0.5× 13 2.2k
Eberhard Humpfer Germany 28 1.6k 1.1× 479 0.9× 412 1.1× 317 0.9× 581 2.6× 46 3.0k
Zhiwei Zhou China 26 1.6k 1.1× 857 1.7× 257 0.7× 106 0.3× 138 0.6× 61 2.6k

Countries citing papers authored by Xin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Lu. A scholar is included among the top collaborators of Xin Lu 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 Xin Lu. Xin Lu 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.
Zhao, Jinhui, Yanyan Zhou, Xinjie Zhao, et al.. (2025). MODA: a graph convolutional network-based multi-omics integration framework for unraveling hub molecules and disease mechanisms. Briefings in Bioinformatics. 26(5). 1 indexed citations
2.
Lu, Xin, et al.. (2024). Effects of innovation environment on carbon intensity: The moderating role of information industry. International Review of Economics & Finance. 92. 967–977. 6 indexed citations
4.
5.
Chen, Tiantian, Zixuan Wang, Xinxin Wang, et al.. (2024). High-resolution mass spectrometry-based suspect and nontarget screening of natural toxins in foodstuffs and risk assessment of dietary exposure. Environmental Pollution. 365. 125338–125338. 4 indexed citations
7.
Li, Zaifang, Chunxia Zhao, Tiantian Chen, et al.. (2024). Leveraging Unidentified Metabolic Features for Key Pathway Discovery: Chemical Classification-driven Network Analysis in Untargeted Metabolomics. Analytical Chemistry. 96(8). 3409–3418. 3 indexed citations
10.
11.
Wang, Lichao, Yinan Zhang, Xinyu Liu, et al.. (2020). Metabolite Triplet in Serum Improves the Diagnostic Accuracy of Prediabetes and Diabetes Screening. Journal of Proteome Research. 20(1). 1005–1014. 7 indexed citations
13.
Mu, Ying, Yang Zhou, Yanfeng Wang, et al.. (2019). Serum Metabolomics Study of Nonsmoking Female Patients with Non-Small Cell Lung Cancer Using Gas Chromatography–Mass Spectrometry. Journal of Proteome Research. 18(5). 2175–2184. 36 indexed citations
14.
Liu, Xinyu, Fujian Zheng, Xinjie Zhao, et al.. (2019). Removal of false positive features to generate authentic peak table for high-resolution mass spectrometry-based metabolomics study. Analytica Chimica Acta. 1067. 79–87. 14 indexed citations
15.
Wang, Lichao, Zhongda Zeng, Xinjie Zhao, et al.. (2018). Ion-Pair Selection Method for Pseudotargeted Metabolomics Based on SWATH MS Acquisition and Its Application in Differential Metabolite Discovery of Type 2 Diabetes. Analytical Chemistry. 90(19). 11401–11408. 31 indexed citations
16.
Li, Lili, Jieyu Zhao, Yanni Zhao, et al.. (2016). Comprehensive investigation of tobacco leaves during natural early senescence via multi-platform metabolomics analyses. Scientific Reports. 6(1). 37976–37976. 61 indexed citations
17.
Shen, Danhong, Xin Lu, Yuwei Chang, et al.. (2014). Determination of phenolic compounds in fresh tobacco leaves by high performance liquid chromatography-ultraviolet/mass spectrometry. Chinese Journal of Chromatography. 32(1). 40–40. 3 indexed citations
18.
Li, Xiang, Xiangxia Luo, Xin Lu, Junguo Duan, & Guowang Xu. (2011). Metabolomics study of diabetic retinopathy using gas chromatography–mass spectrometry: a comparison of stages and subtypes diagnosed by Western and Chinese medicine. Molecular BioSystems. 7(7). 2228–2237. 54 indexed citations
19.
Chen, Jing, Wenzhao Wang, Shen Lv, et al.. (2009). Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations. Analytica Chimica Acta. 650(1). 3–9. 177 indexed citations
20.
Zhou, Jia, Chenfei Ma, Honglin Xu, et al.. (2009). Metabolic profiling of transgenic rice with cryIAc and sck genes: An evaluation of unintended effects at metabolic level by using GC-FID and GC–MS. Journal of Chromatography B. 877(8-9). 725–732. 67 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026