Zhen-Lin Chen

664 total citations · 1 hit paper
6 papers, 385 citations indexed

About

Zhen-Lin Chen is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Zhen-Lin Chen has authored 6 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Spectroscopy and 1 paper in Epidemiology. Recurrent topics in Zhen-Lin Chen's work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Machine Learning in Bioinformatics (2 papers). Zhen-Lin Chen is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Machine Learning in Bioinformatics (2 papers). Zhen-Lin Chen collaborates with scholars based in China. Zhen-Lin Chen's co-authors include Si‐Min He, Meng‐Qiu Dong, Yong Cao, Sheng‐Bo Fan, Hao Chi, Run-Qian Fang, Chao Liu, Wenfeng Zeng, Long Wu and Wenjing Zhou and has published in prestigious journals such as Nature Communications, Molecular & Cellular Proteomics and Journal of Proteome Research.

In The Last Decade

Zhen-Lin Chen

5 papers receiving 376 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.

A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides

2019 329 citations Zhen-Lin Chen, Yong Cao et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhen-Lin Chen China	5	287	106	55	30	28	6	385
Run-Qian Fang China	4	306 1.1×	118 1.1×	61 1.1×	31 1.0×	30 1.1×	7	419
Andrew N. Holding United Kingdom	12	352 1.2×	77 0.7×	72 1.3×	64 2.1×	22 0.8×	19	473
André Melnik Switzerland	6	459 1.6×	172 1.6×	76 1.4×	19 0.6×	37 1.3×	9	539
June Petty United Kingdom	4	316 1.1×	190 1.8×	65 1.2×	32 1.1×	18 0.6×	7	438
Merel A. Nessen Netherlands	10	218 0.8×	140 1.3×	43 0.8×	32 1.1×	31 1.1×	11	372
Colin Combe United Kingdom	7	411 1.4×	156 1.5×	59 1.1×	29 1.0×	43 1.5×	11	478
Lolita Piersimoni Germany	9	275 1.0×	146 1.4×	37 0.7×	34 1.1×	41 1.5×	11	395
Ilan E. Chemmama United States	10	433 1.5×	124 1.2×	111 2.0×	28 0.9×	77 2.8×	15	522
Markus Böesche Germany	7	419 1.5×	307 2.9×	49 0.9×	26 0.9×	15 0.5×	9	517
Kumar Yugandhar India	10	466 1.6×	85 0.8×	100 1.8×	26 0.9×	71 2.5×	17	548

Countries citing papers authored by Zhen-Lin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Zhen-Lin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhen-Lin Chen. 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 Zhen-Lin Chen. The network helps show where Zhen-Lin Chen may publish in the future.

Co-authorship network of co-authors of Zhen-Lin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhen-Lin Chen. A scholar is included among the top collaborators of Zhen-Lin Chen 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 Zhen-Lin Chen. Zhen-Lin Chen 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:

6 of 6 papers shown

1.

Shao, Guang-Can, Zhen-Lin Chen, Shan Lu, et al.. (2025). Global Analysis of Protein and Small-Molecule Substrates of Ubiquitin-Like Proteins. Molecular & Cellular Proteomics. 24(7). 100975–100975.

2.

Zhao, Lianhe, Chenyu Tian, Yueyue Li, et al.. (2024). Predicting transcriptional responses to novel chemical perturbations using deep generative model for drug discovery. Nature Communications. 15(1). 9256–9256. 18 indexed citations

3.

Cao, Yong, et al.. (2023). Comparative Analysis of Chemical Cross-Linking Mass Spectrometry Data Indicates That Protein STY Residues Rarely React with N -Hydroxysuccinimide Ester Cross-Linkers. Journal of Proteome Research. 22(8). 2593–2607. 4 indexed citations

4.

Chen, Zhen-Lin, et al.. (2021). pDeepXL: MS/MS Spectrum Prediction for Cross-Linked Peptide Pairs by Deep Learning. Journal of Proteome Research. 20(5). 2570–2582. 14 indexed citations

5.

Chen, Zhen-Lin, Yong Cao, Run-Qian Fang, et al.. (2019). A high-speed search engine pLink 2 with systematic evaluation for proteome-scale identification of cross-linked peptides. Nature Communications. 10(1). 3404–3404. 329 indexed citations breakdown →

6.

Lu, Shan, Yong Cao, Sheng‐Bo Fan, et al.. (2018). Mapping disulfide bonds from sub-micrograms of purified proteins or micrograms of complex protein mixtures. Biophysics Reports. 4(2). 68–81. 20 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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