Lei Xin

2.9k total citations · 1 hit paper
26 papers, 1.9k citations indexed

About

Lei Xin is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lei Xin has authored 26 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Spectroscopy and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lei Xin's work include Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (10 papers) and Genomics and Phylogenetic Studies (6 papers). Lei Xin is often cited by papers focused on Advanced Proteomics Techniques and Applications (14 papers), Mass Spectrometry Techniques and Applications (10 papers) and Genomics and Phylogenetic Studies (6 papers). Lei Xin collaborates with scholars based in Canada, China and United States. Lei Xin's co-authors include Baozhen Shan, Bin Ma, Ming Li, Ngoc Hieu Tran, Gilles Lajoie, Jing Zhang, Weimin Zhang, Mingjie Xie, Denis Yuen and Zefeng Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Lei Xin

21 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification

2011 823 citations Jing Zhang, Lei Xin et al. Molecular & Cellular Proteomics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lei Xin Canada	13	1.4k	752	175	141	136	26	1.9k
Baozhen Shan Canada	14	1.4k 1.0×	770 1.0×	177 1.0×	144 1.0×	136 1.0×	24	1.9k
David Ovelleiro Spain	10	1.4k 1.0×	613 0.8×	174 1.0×	133 0.9×	158 1.2×	16	2.1k
Emanuele Alpi United Kingdom	11	1.6k 1.1×	493 0.7×	221 1.3×	149 1.1×	163 1.2×	14	2.3k
Gerben Menschaert Belgium	30	2.2k 1.6×	425 0.6×	120 0.7×	186 1.3×	155 1.1×	61	2.6k
Dattatreya Mellacheruvu United States	14	1.7k 1.2×	692 0.9×	187 1.1×	115 0.8×	205 1.5×	19	2.2k
Cristina Chiva Spain	24	1.1k 0.8×	233 0.3×	152 0.9×	122 0.9×	143 1.1×	47	1.8k
Mihaela E. Sardiu United States	21	1.6k 1.1×	398 0.5×	136 0.8×	129 0.9×	111 0.8×	63	2.2k
Brian S. Imai United States	16	1.6k 1.2×	273 0.4×	122 0.7×	255 1.8×	151 1.1×	20	2.3k
Lukas Mueller Switzerland	15	2.4k 1.7×	1.8k 2.4×	132 0.8×	121 0.9×	100 0.7×	19	3.1k
Daniel R. Boutz United States	22	1.5k 1.1×	232 0.3×	267 1.5×	244 1.7×	116 0.9×	33	2.2k

Countries citing papers authored by Lei Xin

Since Specialization

Citations

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

Fields of papers citing papers by Lei Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lei Xin

This figure shows the co-authorship network connecting the top 25 collaborators of Lei Xin. A scholar is included among the top collaborators of Lei Xin 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 Lei Xin. Lei Xin 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

Xin, Lei, Wenting Li, Yuanqiang Zhang, et al.. (2025). Sequencing of Polyclonal Antibodies by Integrating Intact Mass, Middle–Down, and De Novo Bottom–Up Mass Spectrometry. Molecular & Cellular Proteomics. 24(11). 101088–101088.

Cai, Yanning, Shihui Li, Jinhui Liu, et al.. (2025). dsOMG: a web-generator to minimize off-target risk in double-stranded RNA-mediated RNAi. Entomologia Generalis. 45(4). 1017–1028.

Gao, Xiaoyong, et al.. (2025). A novel fault diagnosis method for electric submersible progressing cavity pumps: Addressing imbalanced mixed-domain datasets with complex subdomains. Neurocomputing. 655. 131420–131420.

Xin, Lei, et al.. (2025). Artificial intelligence for flavor perception: Integrating olfactory mechanisms into food group sensory evaluation. Trends in Food Science & Technology. 165. 105333–105333.

Zhang, Xu, et al.. (2025). Sleep Quality and Its Influencing Factors in Hemodialysis and Renal Transplant Patients Across Various Stages. Transplantation Proceedings. 57(5). 723–731.

Hong, Hao, et al.. (2024). Nanopore-based sensors for DNA sequencing: a review. Nanoscale. 16(40). 18732–18766. 5 indexed citations

Tran, Ngoc Hieu, Rui Qiao, Qing Zhang, et al.. (2024). NovoBoard: A Comprehensive Framework for Evaluating the False Discovery Rate and Accuracy of De Novo Peptide Sequencing. Molecular & Cellular Proteomics. 23(11). 100849–100849. 1 indexed citations

Xin, Lei, Zhongping Chen, Juan Chen, et al.. (2024). A Cross-Modal Feature Fusion Method to Diagnose Macular Fibrosis in Neovascular Age-Related Macular Degeneration. Research Portal (Queen's University Belfast). 1–5. 1 indexed citations

Xin, Lei, Yuqing Xia, Xiaochen Ma, et al.. (2024). Illuminating RNA through fluorescent light-up RNA aptamers. Biosensors and Bioelectronics. 271. 116969–116969. 5 indexed citations

10.

Wei, Shuai, Chen Chen, Cainan Luo, et al.. (2023). Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms. Frontiers in Immunology. 14. 1328228–1328228. 10 indexed citations

11.

Qiao, Rui, Ngoc Hieu Tran, Lei Xin, et al.. (2021). Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices. Nature Machine Intelligence. 3(5). 420–425. 44 indexed citations

12.

Tran, Ngoc Hieu, et al.. (2021). Deep neural network for detecting arbitrary precision peptide features through attention based segmentation. Scientific Reports. 11(1). 18249–18249. 9 indexed citations

13.

Chen, Xin, et al.. (2019). ChimST: An Efficient Spectral Library Search Tool for Peptide Identification from Chimeric Spectra in Data-Dependent Acquisition. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18(4). 1416–1425. 2 indexed citations

14.

Tran, Ngoc Hieu, et al.. (2019). DeepIso: A Deep Learning Model for Peptide Feature Detection from LC-MS map. Scientific Reports. 9(1). 17168–17168. 52 indexed citations

15.

Tran, Ngoc Hieu, Rui Qiao, Lei Xin, et al.. (2018). Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry. Nature Methods. 16(1). 63–66. 243 indexed citations

16.

Xin, Lei, et al.. (2016). Evaluation on curative effect of coaxial 2.2mm and 2.8mm incision phacoemulsification for cataract. SHILAP Revista de lepidopterología. 1 indexed citations

17.

Tran, Ngoc Hieu, et al.. (2016). Complete De Novo Assembly of Monoclonal Antibody Sequences. Scientific Reports. 6(1). 31730–31730. 89 indexed citations

18.

Zhang, Jing, Lei Xin, Baozhen Shan, et al.. (2011). PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification. Molecular & Cellular Proteomics. 11(4). M111.010587–M111.010587. 823 indexed citations breakdown →

19.

Liu, Xiaowen, Baozhen Shan, Lei Xin, & Bin Ma. (2010). Better score function for peptide identification with ETD MS/MS spectra. BMC Bioinformatics. 11(S1). S4–S4. 42 indexed citations

20.

Lacerda, Carla M. R., et al.. (2008). Analysis of iTRAQ data using Mascot and Peaks quantification algorithms. Briefings in Functional Genomics and Proteomics. 7(2). 119–126. 14 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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