Yongchao Dou

7.0k total citations
44 papers, 1.6k citations indexed

About

Yongchao Dou is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Yongchao Dou has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 12 papers in Plant Science and 10 papers in Cancer Research. Recurrent topics in Yongchao Dou's work include Machine Learning in Bioinformatics (10 papers), Protein Structure and Dynamics (9 papers) and Genomics and Phylogenetic Studies (8 papers). Yongchao Dou is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), Protein Structure and Dynamics (9 papers) and Genomics and Phylogenetic Studies (8 papers). Yongchao Dou collaborates with scholars based in United States, China and Canada. Yongchao Dou's co-authors include Chi Zhang, Shawn Levy, James N. Higginbotham, Robert J. Coffey, Nripesh Prasad, Alissa M. Weaver, Jeffrey L. Franklin, James G. Patton, Jean‐Sébastien Diana and Bin Yu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yongchao Dou

44 papers receiving 1.6k citations

Peers

Countries citing papers authored by Yongchao Dou

Since Specialization

Citations

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

Fields of papers citing papers by Yongchao Dou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongchao Dou

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

#	Work	Indexed citations
1	DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations 2025 ·Nature Methods ·Bo Wen, Chenwei Wang, Kai Li, Ping Han, Matthew V. Holt, Sara R. Savage, Jonathan T. Lei, Yongchao Dou, Zhiao Shi, Yi Li, Bing Zhang	2
2	Tumor-associated antigen prediction using a single-sample gene expression state inference algorithm 2024 ·Cell Reports Methods ·Xinpei Yi, Hongwei Zhao, (unknown), Liangqing Dong, Yongchao Dou, Jing Li, Qiang Gao, Bing Zhang	3
3	Multiomics profiling of urothelial carcinoma in situ reveals CIS-specific gene signature and immune characteristics 2024 ·iScience ·Meenakshi Anurag, Trine Strandgaard, Sung Han Kim, Yongchao Dou, Éva Compérat, Hikmat Al‐Ahmadie, Brant A. Inman, Ann Taber, Iver Nordentoft, Jørgen Bjerggaard Jensen, Lars Dyrskjøt, Seth P. Lerner	2
4	Pan-cancer proteogenomics expands the landscape of therapeutic targets 2024 ·Cell ·Sara R. Savage, Xinpei Yi, Jonathan T. Lei, Bo Wen, Hongwei Zhao, Yuxing Liao, Eric J. Jaehnig, (unknown), Paul Shafer, Tobie D. Lee, (unknown), Yongchao Dou, Zhiao Shi, Daming Gao, Valentina Hoyos, Qiang Gao, Bing Zhang	33
5	Frozen tissue coring and layered histological analysis improves cell type-specific proteogenomic characterization of pancreatic adenocarcinoma 2024 ·Clinical Proteomics ·Sara R. Savage, Yuefan Wang, Lijun Chen, Scott D. Jewell, Chelsea J. Newton, Yongchao Dou, Qing Kay Li, Oliver F. Bathe, Ana I. Robles, Gilbert S. Omenn, Mathangi Thiagarajan, Hui Zhang, Galen Hostetter, Bing Zhang	2
6	Efficient cancer modeling through CRISPR-Cas9/HDR-based somatic precision gene editing in mice 2023 ·Science Advances ·Wen Bu, Chad J. Creighton, (unknown), Carolina Gutiérrez, Yongchao Dou, Amy T. Ku, (unknown), Weiyu Jiang, (unknown), (unknown), Yue Fei, (unknown), Ahmed Atef Ibrahim, Bing Zhang, Shixia Huang, Yi Li	11
7	Abstract 6575: LinkedOmicsKB: A web portal to explore pan-cancer molecular and phenotype associations 2023 ·Cancer Research ·Sara R. Savage, Yuxing Liao, Yongchao Dou, Zhiao Shi, Xinpei Yi, Wen Jiang, Jonathan T. Lei, Bing Zhang	1
8	SEPepQuant enhances the detection of possible isoform regulations in shotgun proteomics 2023 ·Nature Communications ·Yongchao Dou, Yuejia Liu, Xinpei Yi, Lindsey K. Olsen, Hongwen Zhu, Qiang Gao, Hu Zhou, Bing Zhang	5
9	Abstract 6580: Proteogenomic characterization of endometrial carcinoma 2020 ·Cancer Research ·Emily Kawaler, Yongchao Dou, Daniel Cui Zhou, Marina Gritsenko, Karin Rodland, Li Ding, Bing Zhang, Tao Liu, David Fenyö	3
10	FGFR1-Activated Translation of WNT Pathway Components with Structured 5′ UTRs Is Vulnerable to Inhibition of EIF4A-Dependent Translation Initiation 2018 ·Cancer Research ·Tuan M. Nguyen, Elena B. Kabotyanski, Yongchao Dou, Lucas C. Reineke, Peng Zhang, Xiang H.-F. Zhang, Anna Malovannaya, Sung Yun Jung, Qianxing Mo, Kevin Roarty, Yiwen Chen, Bing Zhang, Joel R. Neilson, Richard E. Lloyd, Charles M. Perou, Matthew J. Ellis, Jeffrey M. Rosen	19
11	DAWDLE Interacts with DICER-LIKE Proteins to Mediate Small RNA Biogenesis 2018 ·PLANT PHYSIOLOGY ·Shuxin Zhang, Yongchao Dou, Shengjun Li, Guodong Ren, David Chevalier, Chi Zhang, Bin Yu	27
12	Circular RNAs are down-regulated in KRAS mutant colon cancer cells and can be transferred to exosomes 2016 ·Scientific Reports ·Yongchao Dou, Jean‐Sébastien Diana, Jeffrey L. Franklin, James N. Higginbotham, Dennis K. Jeppesen, Alissa M. Weaver, Nripesh Prasad, Shawn Levy, Robert J. Coffey, James G. Patton, Bing Zhang	276
13	Insect and plant-derived miRNAs in greenbug (Schizaphis graminum) and yellow sugarcane aphid (Sipha flava) revealed by deep sequencing 2016 ·Gene ·Haichuan Wang, Chi Zhang, Yongchao Dou, Bin Yu, Yunfeng Liu, Tiffany Heng‐Moss, Guoqing Lu, (unknown), (unknown), Paul Twigg, Erin D. Scully, Nathan A. Palmer, Gautam Sarath	27
14	Synergistic and Independent Actions of Multiple Terminal Nucleotidyl Transferases in the 3’ Tailing of Small RNAs in Arabidopsis 2015 ·PLoS Genetics ·Xiaoyan Wang, Shuxin Zhang, Yongchao Dou, Chi Zhang, Xuemei Chen, Bin Yu, Guodong Ren	64
15	Identification of RNA silencing components in soybean and sorghum 2014 ·BMC Bioinformatics ·Xiang Liu, Tao Lu, Yongchao Dou, Bin Yu, Chi Zhang	40
16	Genome-wide identification and analysis of membrane-bound O-acyltransferase (MBOAT) gene family in plants 2013 ·Planta ·Peng Wang, (unknown), Yongchao Dou, Xiaoxiao Zhang, Maoyuan Wang, (unknown)	12
17	Predicting Protein Subcellular Localization by Pseudo Amino Acid Composition with a Segment-Weighted and Features-Combined Approach 2011 ·Protein and Peptide Letters ·Wei Wang, (unknown), Yongchao Dou, Taigang Liu, Xiaoqi Zheng	18
18	Prediction of catalytic residues based on an overlapping amino acid classification 2010 ·Amino Acids ·Yongchao Dou, Xiaoqi Zheng, Jialiang Yang, Jun Wang	16
19	Prediction of Catalytic Residues Using the Variation of Stereochemical Properties 2009 ·The Protein Journal ·Yongchao Dou, Xiaoqi Zheng, Jun Wang	9
20	Phylogenetic inference from binary sequences reduced by primary DNA sequences 2008 ·Journal of Mathematical Chemistry ·Xiaoqi Zheng, Yongchao Dou, Jun Wang	3

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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