Bin Ma

5.2k total citations · 2 hit papers
65 papers, 3.6k citations indexed

About

Bin Ma is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Bin Ma has authored 65 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 36 papers in Spectroscopy and 12 papers in Artificial Intelligence. Recurrent topics in Bin Ma's work include Advanced Proteomics Techniques and Applications (34 papers), Mass Spectrometry Techniques and Applications (28 papers) and Genomics and Phylogenetic Studies (18 papers). Bin Ma is often cited by papers focused on Advanced Proteomics Techniques and Applications (34 papers), Mass Spectrometry Techniques and Applications (28 papers) and Genomics and Phylogenetic Studies (18 papers). Bin Ma collaborates with scholars based in Canada, China and United States. Bin Ma's co-authors include Gilles Lajoie, Kaizhong Zhang, Chengzhi Liang, Ming Li, Baozhen Shan, Lei Xin, Zefeng Zhang, Denis Yuen, Jing Zhang and Weimin Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Bin Ma

63 papers receiving 3.5k 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: powerful software for peptide de novo sequencing by tandem mass spectrometry

2003 1.0k citations Bin Ma, Kaizhong Zhang et al. Rapid Communications in Mass Spectrometry profile →
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
Bin Ma Canada	23	2.6k	1.5k	302	180	172	65	3.6k
Zhi Sun United States	24	3.0k 1.1×	1.8k 1.2×	276 0.9×	230 1.3×	45 0.3×	52	4.1k
Jeffrey C. Silva United States	23	3.2k 1.2×	1.4k 0.9×	287 1.0×	276 1.5×	73 0.4×	32	4.5k
John T. Stults United States	37	3.0k 1.2×	2.6k 1.7×	314 1.0×	189 1.1×	94 0.5×	72	5.0k
Gerhard Mayer Germany	12	2.4k 0.9×	835 0.6×	268 0.9×	304 1.7×	49 0.3×	15	3.5k
Noemí del‐Toro United Kingdom	13	2.5k 0.9×	641 0.4×	309 1.0×	333 1.9×	57 0.3×	17	3.7k
Jun X. Yan Australia	19	2.1k 0.8×	1.3k 0.9×	205 0.7×	127 0.7×	34 0.2×	53	3.1k
William M. Old United States	30	2.9k 1.1×	1.4k 0.9×	213 0.7×	175 1.0×	70 0.4×	56	3.8k
Christie L. Hunter United States	23	2.4k 0.9×	1.6k 1.1×	161 0.5×	221 1.2×	38 0.2×	42	3.6k
Hookeun Lee South Korea	37	2.8k 1.1×	1.9k 1.2×	162 0.5×	232 1.3×	48 0.3×	115	4.2k
Tobias Ternent United Kingdom	8	2.6k 1.0×	731 0.5×	323 1.1×	369 2.0×	56 0.3×	9	3.9k

Countries citing papers authored by Bin Ma

Since Specialization

Citations

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

Fields of papers citing papers by Bin Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Ma

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

Yan, Diqun, et al.. (2025). One-class network leveraging spectro-temporal features for generalized synthetic speech detection. Speech Communication. 169. 103200–103200. 1 indexed citations

Xian, Feng, Christoph Krisp, R. Ranjith Kumar, et al.. (2025). Ultra-sensitive metaproteomics redefines the dark metaproteome, uncovering host-microbiome interactions and drug targets in intestinal diseases. Nature Communications. 16(1). 6644–6644. 2 indexed citations

Li, Hong, Sergey V. Churakov, Hui Liu, et al.. (2025). A synergistic ligand complexation-electrocatalysis strategy for efficient uranyl extraction from nuclear wastewater. Water Research. 291. 125178–125178.

Ma, Bin, et al.. (2024). Screening of the effective sites of Cichorium glandulosum against hyperuricemia combined with hyperlipidemia and its network pharmacology analysis. Computational Biology and Chemistry. 110. 108088–108088. 1 indexed citations

Bihan, Thierry Le, Marko Jović, Amber L. Couzens, et al.. (2024). De novo protein sequencing of antibodies for identification of neutralizing antibodies in human plasma post SARS-CoV-2 vaccination. Nature Communications. 15(1). 8790–8790. 3 indexed citations

Ma, Bin, et al.. (2024). Anti-Cancer Peptides Identification and Activity Type Classification With Protein Sequence Pre-Training. IEEE Journal of Biomedical and Health Informatics. 29(3). 1692–1701. 2 indexed citations

Ma, Bin, et al.. (2024). Finding potential targets in cell-based immunotherapy for handling the challenges of acute myeloid leukemia. Frontiers in Immunology. 15. 1460437–1460437. 1 indexed citations

Wei, Xiaoyan, et al.. (2024). Phosphate and illite colloid pose a synergistic risk of enhanced uranium transport in groundwater: A challenge for phosphate immobilization remediation of uranium contaminated environmental water. Water Research. 255. 121514–121514. 23 indexed citations

Guan, Shenheng, Michael F. Moran, & Bin Ma. (2019). Prediction of LC-MS/MS Properties of Peptides from Sequence by Deep Learning. Molecular & Cellular Proteomics. 18(10). 2099–2107. 43 indexed citations

10.

Yang, Lian, Ashraf Ibrahim, Chad W. Johnston, et al.. (2015). Exploration of Nonribosomal Peptide Families with an Automated Informatic Search Algorithm. Chemistry & Biology. 22(9). 1259–1269. 9 indexed citations

11.

Johnston, Chad W., Michael A. Skinnider, Morgan A. Wyatt, et al.. (2015). An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products. Nature Communications. 6(1). 8421–8421. 106 indexed citations

12.

Chen, Zhi‐Zhong, Bin Ma, & Lusheng Wang. (2011). A three-string approach to the closest string problem. Journal of Computer and System Sciences. 78(1). 164–178. 12 indexed citations

13.

Ma, Bin & Richard S. Johnson. (2011). De Novo Sequencing and Homology Searching. Molecular & Cellular Proteomics. 11(2). O111.014902–O111.014902. 131 indexed citations

14.

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 →

15.

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

16.

Ma, Bin. (2009). Why greed works for shortest common superstring problem. Theoretical Computer Science. 410(51). 5374–5381. 8 indexed citations

17.

Hughes, Christopher J., Bin Ma, & Gilles Lajoie. (2009). De Novo Sequencing Methods in Proteomics. Methods in molecular biology. 604. 105–121. 61 indexed citations

18.

Ma, Bin, Kaizhong Zhang, & Chengzhi Liang. (2005). An effective algorithm for peptide de novo sequencing from MS/MS spectra. Journal of Computer and System Sciences. 70(3). 418–430. 34 indexed citations

19.

Han, Yonghua, Bin Ma, & Kaizhong Zhang. (2004). SPIDER: software for protein identification from sequence tags with de novo sequencing error. PubMed. 10. 198–207. 24 indexed citations

20.

Ma, Bin, et al.. (2003). PEAKS: powerful software for peptide de novo sequencing by tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 17(20). 2337–2342. 1016 indexed citations breakdown →

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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