Baozhen Shan

3.0k total citations · 1 hit paper
24 papers, 1.9k citations indexed

About

Baozhen Shan is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Baozhen Shan has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Spectroscopy and 1 paper in Organic Chemistry. Recurrent topics in Baozhen Shan's work include Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (9 papers). Baozhen Shan is often cited by papers focused on Advanced Proteomics Techniques and Applications (18 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (9 papers). Baozhen Shan collaborates with scholars based in Canada, China and United States. Baozhen Shan's co-authors include Lei Xin, Bin Ma, Ngoc Hieu Tran, Ming Li, Gilles Lajoie, Mingjie Xie, Jing Zhang, Denis Yuen, Zefeng Zhang and Weiwu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Baozhen Shan

23 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

Baozhen Shan

SPECT

IMMUN

GENET

ONCOL

Lei Xin Canada

David Ovelleiro Spain

Vladimir Besada Cuba

Emanuele Alpi United Kingdom

Andy T. Kong United States

Dattatreya Mellacheruvu United States

Gerben Menschaert Belgium

Brian S. Imai United States

Lukas Mueller Switzerland

Cristina Chiva Spain

Lei Xin Canada

Baozhen Shan

1.4k ×1.0

752 ×1.0

SPECT

175 ×1.0

IMMUN

141 ×1.0

GENET

136 ×1.0

ONCOL

Citations per year, relative to Baozhen Shan Baozhen Shan (= 1×) peers Lei Xin

Countries citing papers authored by Baozhen Shan

Since Specialization

Citations

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

Fields of papers citing papers by Baozhen Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baozhen Shan

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

All Works

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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.

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

Lai, Xianyin, Yaming Wang, Zhixiang Yang, et al.. (2024). Pursuing Impactful Quantitative Proteomics Using QC-Channels in Every Spectrum and Trend-Design in Experiment. Journal of the American Society for Mass Spectrometry. 35(4). 674–682. 1 indexed citations

Sun, Weiping, Xiyue Zhang, Ngoc Hieu Tran, et al.. (2023). Glycopeptide database search and de novo sequencing with PEAKS GlycanFinder enable highly sensitive glycoproteomics. Nature Communications. 14(1). 4046–4046. 25 indexed citations

Kirkpatrick, Joanna, Paul M. Stemmer, Brian C. Searle, et al.. (2023). 2019 Association of Biomolecular Resource FacilitiesMulti-Laboratory Data-Independent Acquisition ProteomicsStudy. Journal of Biomolecular Techniques JBT. 34(2). 3fc1f5fe.9b78d780–3fc1f5fe.9b78d780. 1 indexed citations

Xin, Lei, Rui Qiao, Xin Chen, et al.. (2022). A streamlined platform for analyzing tera-scale DDA and DIA mass spectrometry data enables highly sensitive immunopeptidomics. Nature Communications. 13(1). 3108–3108. 54 indexed citations

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

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

Tran, Ngoc Hieu, Rui Qiao, Lei Xin, et al.. (2020). Personalized deep learning of individual immunopeptidomes to identify neoantigens for cancer vaccines. Nature Machine Intelligence. 2(12). 764–771. 31 indexed citations

10.

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

11.

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

12.

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

13.

Tran, Ngoc Hieu, Xianglilan Zhang, Lei Xin, Baozhen Shan, & Ming Li. (2017). De novo peptide sequencing by deep learning. Proceedings of the National Academy of Sciences. 114(31). 8247–8252. 262 indexed citations

14.

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

15.

Lei, Xin & Baozhen Shan. (2013). Integrating de novo Sequencing and Database Search for Monoclonal Antibody Sequencing. Journal of Biomolecular Techniques JBT. 24. 1 indexed citations

16.

Alhaider, Abdulqader A., Stephen W. Hunsucker, Baozhen Shan, et al.. (2013). Through the eye of an electrospray needle: mass spectrometric identification of the major peptides and proteins in the milk of the one‐humped camel (Camelus dromedarius). Journal of Mass Spectrometry. 48(7). 779–794. 21 indexed citations

17.

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 →

18.

Xi, Han, Lin He, Lei Xin, Baozhen Shan, & Bin Ma. (2011). PeaksPTM: Mass Spectrometry-Based Identification of Peptides with Unspecified Modifications. Journal of Proteome Research. 10(7). 2930–2936. 136 indexed citations

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.

Shan, Baozhen, Bin Ma, Kaizhong Zhang, & Gilles Lajoie. (2007). COMPLEXITIES AND ALGORITHMS FOR GLYCAN STRUCTURE SEQUENCING USING TANDEM MASS SPECTROMETRY. 297–306. 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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