Peiran Jiang

997 total citations
12 papers, 583 citations indexed

About

Peiran Jiang is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Peiran Jiang has authored 12 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Computational Theory and Mathematics. Recurrent topics in Peiran Jiang's work include Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (2 papers). Peiran Jiang is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA modifications and cancer (2 papers). Peiran Jiang collaborates with scholars based in China, United States and Canada. Peiran Jiang's co-authors include Wanshan Ning, Yaping Guo, Yu Xue, Pingzhao Hu, Shujun Huang, Di Peng, Xiaodan Tan, Ted M. Lakowski, Shaofeng Lin and Chenwei Wang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Peiran Jiang

12 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peiran Jiang China	9	369	124	114	76	50	12	583
Zihan Guo China	12	283 0.8×	114 0.9×	29 0.3×	132 1.7×	59 1.2×	39	549
Jongsun Jung South Korea	12	413 1.1×	134 1.1×	38 0.3×	49 0.6×	65 1.3×	25	726
Ratna R. Thangudu United States	12	591 1.6×	93 0.8×	54 0.5×	42 0.6×	137 2.7×	15	803
Markus Heinonen Finland	13	485 1.3×	140 1.1×	78 0.7×	57 0.8×	9 0.2×	33	666
Reiji Teramoto Japan	10	327 0.9×	128 1.0×	75 0.7×	19 0.3×	39 0.8×	21	470
Sulin Zhang China	16	465 1.3×	176 1.4×	31 0.3×	23 0.3×	39 0.8×	46	725
Stuart Moodie United Kingdom	13	562 1.5×	91 0.7×	37 0.3×	18 0.2×	35 0.7×	25	666
Ziaurrehman Tanoli Finland	10	541 1.5×	349 2.8×	21 0.2×	36 0.5×	74 1.5×	24	851
Jaegyoon Ahn South Korea	19	883 2.4×	285 2.3×	45 0.4×	99 1.3×	206 4.1×	52	1.2k
Sezen Vatansever United States	7	244 0.7×	118 1.0×	19 0.2×	22 0.3×	14 0.3×	11	449

Countries citing papers authored by Peiran Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Peiran Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiran Jiang

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

All Works

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12 of 12 papers shown

Jiang, Peiran, Longfei Ye, Min Liu, et al.. (2025). PRAG1 Condensation Drives Cell Contraction Under Stress. Biomolecules. 15(3). 379–379. 1 indexed citations

Nguyen, Nam D., Timur O. Khaliullin, Peiran Jiang, et al.. (2024). scDOT: optimal transport for mapping senescent cells in spatial transcriptomics. Genome biology. 25(1). 288–288. 3 indexed citations

Jiang, Peiran, et al.. (2023). A hybrid positive unlabeled learning framework for uncovering scaffolds across human proteome by measuring the propensity to drive phase separation. Briefings in Bioinformatics. 24(2). 1 indexed citations

Jiang, Peiran, et al.. (2021). FSL-Kla: A few-shot learning-based multi-feature hybrid system for lactylation site prediction. Computational and Structural Biotechnology Journal. 19. 4497–4509. 40 indexed citations

Jiang, Peiran, Ying Chi, Zhenyu Meng, et al.. (2021). Molecular persistent spectral image (Mol-PSI) representation for machine learning models in drug design. Briefings in Bioinformatics. 23(1). 19 indexed citations

Ning, Wanshan, Haodong Xu, Peiran Jiang, et al.. (2020). HybridSucc: A Hybrid-Learning Architecture for General and Species-Specific Succinylation Site Prediction. Genomics Proteomics & Bioinformatics. 18(2). 194–207. 34 indexed citations

Ning, Wanshan, Shijun Lei, Jingjing Yang, et al.. (2020). Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning. Nature Biomedical Engineering. 4(12). 1197–1207. 131 indexed citations

Guo, Yaping, Wanshan Ning, Peiran Jiang, et al.. (2020). GPS-PBS: A Deep Learning Framework to Predict Phosphorylation Sites that Specifically Interact with Phosphoprotein-Binding Domains. Cells. 9(5). 1266–1266. 14 indexed citations

Jiang, Peiran, et al.. (2020). Deep graph embedding for prioritizing synergistic anticancer drug combinations. Computational and Structural Biotechnology Journal. 18. 427–438. 79 indexed citations

10.

Ning, Wanshan, Peiran Jiang, Yaping Guo, et al.. (2020). GPS-Palm: a deep learning-based graphic presentation system for the prediction ofS-palmitoylation sites in proteins. Briefings in Bioinformatics. 22(2). 1836–1847. 85 indexed citations

11.

Huang, Shujun, et al.. (2020). DTF: Deep Tensor Factorization for predicting anticancer drug synergy. Bioinformatics. 36(16). 4483–4489. 50 indexed citations

12.

Ning, Wanshan, Yaping Guo, Shaofeng Lin, et al.. (2019). DrLLPS: a data resource of liquid–liquid phase separation in eukaryotes. Nucleic Acids Research. 48(D1). D288–D295. 126 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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