Guohua Wang

6.1k total citations · 1 hit paper
184 papers, 3.9k citations indexed

About

Guohua Wang is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Guohua Wang has authored 184 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Molecular Biology, 40 papers in Cancer Research and 16 papers in Plant Science. Recurrent topics in Guohua Wang's work include Cancer-related molecular mechanisms research (32 papers), RNA modifications and cancer (27 papers) and Single-cell and spatial transcriptomics (27 papers). Guohua Wang is often cited by papers focused on Cancer-related molecular mechanisms research (32 papers), RNA modifications and cancer (27 papers) and Single-cell and spatial transcriptomics (27 papers). Guohua Wang collaborates with scholars based in China, United States and Saudi Arabia. Guohua Wang's co-authors include Jiang Qian, Heng Zhu, Yunlong Liu, Yadong Wang, Quan Zou, Tianjiao Zhang, Yang Li, Liran Juan, Qinghua Jiang and Jun Wan and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Guohua Wang

157 papers receiving 3.9k citations

Hit Papers

Transcription factors as readers and effectors of DNA met... 2016 2026 2019 2022 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guohua Wang China 31 3.1k 1.1k 341 298 275 184 3.9k
Xiaochen Bo China 31 2.7k 0.9× 553 0.5× 567 1.7× 256 0.9× 360 1.3× 166 4.2k
Xianghong Jasmine Zhou United States 35 3.7k 1.2× 1.1k 1.0× 243 0.7× 286 1.0× 424 1.5× 88 4.7k
Hans‐Peter Lenhof Germany 39 3.6k 1.2× 1.9k 1.7× 321 0.9× 208 0.7× 310 1.1× 137 5.2k
Junfeng Xia China 30 2.2k 0.7× 545 0.5× 418 1.2× 184 0.6× 334 1.2× 139 3.2k
Jan Gorodkin Denmark 41 4.9k 1.6× 1.7k 1.5× 163 0.5× 316 1.1× 532 1.9× 137 6.4k
Leo J. Lee Canada 11 4.3k 1.4× 830 0.8× 96 0.3× 246 0.8× 443 1.6× 16 5.1k
Jui‐Hung Hung Taiwan 25 2.8k 0.9× 998 0.9× 128 0.4× 474 1.6× 385 1.4× 71 3.6k
Hui Ding China 51 7.5k 2.4× 873 0.8× 759 2.2× 128 0.4× 134 0.5× 135 8.2k
Dov Greenbaum United States 16 2.7k 0.9× 245 0.2× 373 1.1× 183 0.6× 340 1.2× 73 4.0k
Sujun Hua United States 13 2.8k 0.9× 1.2k 1.1× 180 0.5× 145 0.5× 312 1.1× 14 3.7k

Countries citing papers authored by Guohua Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guohua Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guohua Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Guohua Wang. A scholar is included among the top collaborators of Guohua Wang 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 Guohua Wang. Guohua Wang 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.
Liu, Jie, et al.. (2025). RTADev: Intention Aligned Multi-Agent Framework for Software Development. 1548–1581. 1 indexed citations
2.
Li, Xiaohan, Guohua Wang, Dan Li, & Yang Li. (2025). Multitask learning model for predicting non-coding RNA-disease associations: Incorporating local and global context. Methods. 239. 10–21.
3.
Wang, Guohua, et al.. (2025). Stable immobilization of uranium(VI) mediated by highly efficient indigenous microbes: dynamic behavior and mechanisms. Journal of Radioanalytical and Nuclear Chemistry. 334(8). 5499–5511.
5.
Teng, Zhixia, et al.. (2024). Drug repositioning by collaborative learning based on graph convolutional inductive network. Future Generation Computer Systems. 162. 107491–107491. 2 indexed citations
6.
Zhao, Jianmei, et al.. (2024). Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model. Computers in Biology and Medicine. 174. 108330–108330. 3 indexed citations
7.
Liu, Zheng, et al.. (2024). SERT-StructNet: Protein secondary structure prediction method based on multi-factor hybrid deep model. Computational and Structural Biotechnology Journal. 23. 1364–1375. 4 indexed citations
8.
Wang, Jianan, et al.. (2024). TransGINmer: Identifying viral sequences from metagenomes with self-attention and Graph Isomorphism Network. Future Generation Computer Systems. 161. 445–453. 3 indexed citations
9.
Wang, Guohua, Seth M. Munson, Elly Morriën, et al.. (2024). Changes in microbial community and network structure precede shrub degradation in a desert ecosystem. CATENA. 242. 108106–108106. 4 indexed citations
10.
Lin, Chen, et al.. (2024). VirGrapher: a graph-based viral identifier for long sequences from metagenomes. Briefings in Bioinformatics. 25(2). 5 indexed citations
11.
Lin, Chen, et al.. (2024). DeePhafier: a phage lifestyle classifier using a multilayer self-attention neural network combining protein information. Briefings in Bioinformatics. 25(5). 1 indexed citations
12.
Zhang, Yan, et al.. (2023). Identification of cell subpopulations associated with disease phenotypes from scRNA-seq data using PACSI. BMC Biology. 21(1). 159–159. 6 indexed citations
13.
Wang, Guohua, et al.. (2023). DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA–Disease Association Prediction. Biomolecules. 13(10). 1514–1514. 4 indexed citations
14.
Gao, Xin, et al.. (2023). miProBERT: identification of microRNA promoters based on the pre-trained model BERT. Briefings in Bioinformatics. 24(3). 9 indexed citations
15.
Zhang, Tianjiao, et al.. (2023). DeepITEH: a deep learning framework for identifying tissue-specific eRNAs from the human genome. Bioinformatics. 39(6). 12 indexed citations
16.
Walker, Steven L., Guohua Wang, David T. White, et al.. (2023). Transcriptomic comparison of two selective retinal cell ablation paradigms in zebrafish reveals shared and cell-specific regenerative responses. PLoS Genetics. 19(10). e1010905–e1010905. 1 indexed citations
17.
Sun, Shanwen, et al.. (2022). PlantCADB: A Comprehensive Plant Chromatin Accessibility Database. Genomics Proteomics & Bioinformatics. 21(2). 311–323. 9 indexed citations
18.
Wang, Guohua, Jianan Wang, Jun Wan, et al.. (2018). MeDReaders: a database for transcription factors that bind to methylated DNA. PMC. 1 indexed citations
19.
Han, Ke, et al.. (2017). Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods. Molecules. 22(10). 1602–1602. 31 indexed citations
20.
Campochiaro, Peter A., Gulnar Hafiz, Tahreem A. Mir, et al.. (2015). Pro-Permeability Factors After Dexamethasone Implant in Retinal Vein Occlusion; the Ozurdex for Retinal Vein Occlusion (ORVO) Study. American Journal of Ophthalmology. 160(2). 313–321.e19. 33 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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