Jiarui Ding

9.8k total citations · 1 hit paper
50 papers, 2.5k citations indexed

About

Jiarui Ding is a scholar working on Molecular Biology, Cancer Research and Spectroscopy. According to data from OpenAlex, Jiarui Ding has authored 50 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Spectroscopy. Recurrent topics in Jiarui Ding's work include Metabolomics and Mass Spectrometry Studies (10 papers), Cancer Genomics and Diagnostics (8 papers) and Advanced Proteomics Techniques and Applications (7 papers). Jiarui Ding is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Cancer Genomics and Diagnostics (8 papers) and Advanced Proteomics Techniques and Applications (7 papers). Jiarui Ding collaborates with scholars based in Canada, China and United States. Jiarui Ding's co-authors include Sohrab P. Shah, Anne Condon, Aviv Regev, David G. Huntsman, Samuel Aparício, Ali Bashashati, Gavin Ha, Tristan Tay, Zachary Chiang and Yan Hu and has published in prestigious journals such as Cell, Nature Communications and Immunity.

In The Last Decade

Jiarui Ding

43 papers receiving 2.5k citations

Hit Papers

Chromatin Potential Identified by Shared Single-Cell Prof... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiarui Ding Canada 19 1.7k 730 335 294 269 50 2.5k
Gulisa Turashvili Canada 29 1.9k 1.2× 1.4k 1.9× 301 0.9× 392 1.3× 1.2k 4.6× 109 3.9k
Lisa M. Sapinoso United States 17 3.4k 2.0× 740 1.0× 332 1.0× 419 1.4× 841 3.1× 19 4.8k
Afshan McCarthy United Kingdom 31 3.1k 1.8× 676 0.9× 167 0.5× 566 1.9× 1.5k 5.6× 51 4.2k
Wing H. Wong United States 15 2.7k 1.6× 548 0.8× 238 0.7× 237 0.8× 489 1.8× 21 3.8k
Shumpei Ishikawa Japan 37 2.1k 1.2× 705 1.0× 106 0.3× 497 1.7× 1.1k 4.2× 126 4.5k
S Kern United States 11 2.2k 1.3× 663 0.9× 158 0.5× 216 0.7× 646 2.4× 11 3.2k
Jian‐Jun Wei United States 35 2.0k 1.2× 1.1k 1.5× 1.2k 3.6× 250 0.9× 419 1.6× 103 4.1k
Niklas Rindtorff Germany 5 1.8k 1.0× 564 0.8× 39 0.1× 166 0.6× 725 2.7× 6 2.6k
H. Raza Ali United Kingdom 21 2.4k 1.5× 1.1k 1.5× 69 0.2× 469 1.6× 1.8k 6.6× 30 4.5k

Countries citing papers authored by Jiarui Ding

Since Specialization
Citations

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

Fields of papers citing papers by Jiarui Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiarui Ding

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

All Works

20 of 20 papers shown
1.
Lu, Pengzhen, et al.. (2025). Polyurethane-modified asphalt mechanism. Case Studies in Construction Materials. 22. e04247–e04247. 3 indexed citations
3.
Ding, Jiarui, Chunfei Wu, Weiwei Song, et al.. (2024). Characterization of a Natural Accession of Elymus sibiricus with In Situ Hybridization and Agronomic Evaluation. Plants. 14(1). 75–75.
4.
Zhou, Yuxuan, et al.. (2024). Analysis of the Pet Companion Robot Market. Advances in Economics Management and Political Sciences. 106(1). 231–235.
5.
Wang, Xinru, Jiarui Ding, Wanru Chen, et al.. (2024). Generative Adversarial Network with Lightweight U-Net for Underwater Optical Image Enhancement. 29–34. 1 indexed citations
6.
Ding, Jiarui, Ariel Lefkovith, Michael Dougan, et al.. (2024). An esophagus cell atlas reveals dynamic rewiring during active eosinophilic esophagitis and remission. Nature Communications. 15(1). 3344–3344. 22 indexed citations
7.
He, Danyang, Heping Xu, Huiyuan Zhang, et al.. (2022). Disruption of the IL-33-ST2-AKT signaling axis impairs neurodevelopment by inhibiting microglial metabolic adaptation and phagocytic function. Immunity. 55(1). 159–173.e9. 94 indexed citations
8.
Ma, Sai, Bing Zhang, Lindsay M. LaFave, et al.. (2020). Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin. Cell. 183(4). 1103–1116.e20. 579 indexed citations breakdown →
9.
Ding, Jiarui, Anne Condon, & Sohrab P. Shah. (2018). Interpretable dimensionality reduction of single cell transcriptome data with deep generative models. Nature Communications. 9(1). 2002–2002. 224 indexed citations
10.
Clermont, Pier‐Luc, Francesco Crea, Dong Lin, et al.. (2016). Identification of the epigenetic reader CBX2 as a potential drug target in advanced prostate cancer. Clinical Epigenetics. 8(1). 16–16. 61 indexed citations
11.
Ding, Jiarui & Sohrab P. Shah. (2013). A robust hidden semi-Markov model with application to aCGH data processing. International Journal of Data Mining and Bioinformatics. 8(4). 427–427. 4 indexed citations
12.
McConechy, Melissa K., Jiarui Ding, Janine Senz, et al.. (2013). Ovarian and endometrial endometrioid carcinomas have distinct CTNNB1 and PTEN mutation profiles. Modern Pathology. 27(1). 128–134. 186 indexed citations
13.
Ha, Gavin, Andrew Roth, Daniel Lai, et al.. (2012). Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer. Genome Research. 22(10). 1995–2007. 152 indexed citations
14.
McAlpine, Jessica N., Martin Köbel, Brad H. Nelson, et al.. (2012). BRCA1 and BRCA2 mutations correlate with TP53 abnormalities and presence of immune cell infiltrates in ovarian high-grade serous carcinoma. Modern Pathology. 25(5). 740–750. 129 indexed citations
15.
Ding, Jiarui, Jinhong Shi, & Fang‐Xiang Wu. (2011). SVM-RFE based feature selection for tandem mass spectrum quality assessment. International Journal of Data Mining and Bioinformatics. 5(1). 73–73. 18 indexed citations
16.
Zou, An‐Min, Jinhong Shi, Jiarui Ding, & Fang‐Xiang Wu. (2010). Charge State Determination of Peptide Tandem Mass Spectra Using Support Vector Machine (SVM). IEEE Transactions on Information Technology in Biomedicine. 14(3). 552–558. 11 indexed citations
17.
Ding, Jiarui. (2009). Pre-processing of tandem mass spectra using machine learning methods. Acta Pharmaceutica Sinica B. 12(9). 3710–3725. 2 indexed citations
18.
Ding, Jiarui, Jinhong Shi, Guy G. Poirier, & Fang‐Xiang Wu. (2009). A novel approach to denoising ion trap tandem mass spectra. Proteome Science. 7(1). 9–9. 21 indexed citations
19.
Zou, An‐Min, Fang‐Xiang Wu, Jiarui Ding, & Guy G. Poirier. (2009). Quality assessment of tandem mass spectra using support vector machine (SVM). BMC Bioinformatics. 10(S1). S49–S49. 12 indexed citations
20.
Ding, Jiarui, et al.. (2007). Ground Moving Target Tracking Control System Design for UAV Surveillance. 30. 1458–1463. 8 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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