Dingfeng Wu

2.5k total citations
54 papers, 1.0k citations indexed

About

Dingfeng Wu is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Dingfeng Wu has authored 54 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 15 papers in Epidemiology and 10 papers in Computational Theory and Mathematics. Recurrent topics in Dingfeng Wu's work include Gut microbiota and health (13 papers), Computational Drug Discovery Methods (10 papers) and Liver Disease Diagnosis and Treatment (7 papers). Dingfeng Wu is often cited by papers focused on Gut microbiota and health (13 papers), Computational Drug Discovery Methods (10 papers) and Liver Disease Diagnosis and Treatment (7 papers). Dingfeng Wu collaborates with scholars based in China, United States and Italy. Dingfeng Wu's co-authors include Ruixin Zhu, Lixin Zhu, Na Jiao, Kailin Tang, Zhiwei Cao, Tianyi Qiu, Ping Lan, Yida Zhang, Sijing Cheng and Yichen Li and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Dingfeng Wu

50 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dingfeng Wu China 18 653 196 158 157 124 54 1.0k
Yin Kwan Wong China 20 676 1.0× 221 1.1× 148 0.9× 168 1.1× 158 1.3× 48 1.5k
Shailendra Asthana India 22 554 0.8× 370 1.9× 304 1.9× 145 0.9× 167 1.3× 75 1.4k
Tahir S Pillay South Africa 26 972 1.5× 150 0.8× 93 0.6× 121 0.8× 159 1.3× 103 1.8k
Aftab Alam India 15 524 0.8× 354 1.8× 64 0.4× 100 0.6× 123 1.0× 44 1.1k
Rima Hajjo Jordan 17 470 0.7× 161 0.8× 125 0.8× 42 0.3× 156 1.3× 43 1.0k
Bin Peng China 14 284 0.4× 157 0.8× 139 0.9× 50 0.3× 136 1.1× 43 1.0k
Tieshan Teng China 12 392 0.6× 426 2.2× 77 0.5× 131 0.8× 79 0.6× 34 1.3k
Ahmad Abu Turab Naqvi India 13 518 0.8× 611 3.1× 288 1.8× 59 0.4× 81 0.7× 23 1.3k
Xiaohua Ma China 17 910 1.4× 110 0.6× 335 2.1× 136 0.9× 105 0.8× 41 1.6k
Xiuna Yang China 20 596 0.9× 360 1.8× 108 0.7× 202 1.3× 68 0.5× 44 1.1k

Countries citing papers authored by Dingfeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Dingfeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingfeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Dingfeng Wu. A scholar is included among the top collaborators of Dingfeng Wu 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 Dingfeng Wu. Dingfeng Wu 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.
Jiang, Wei, et al.. (2025). Resolving Early Targets and Metabolomic Profile of Congenital Heart Disease Through Tandem Mass Spectrometry Screening in Neonates. Journal of the American Heart Association. 14(9). e039500–e039500. 1 indexed citations
2.
3.
Wu, Dingfeng, et al.. (2024). The modified Johnson-Cook constitutive model of 2A10 aluminum alloys under electromagnetic impact loading. Archives of Civil and Mechanical Engineering. 24(2).
4.
Lin, Weili, Yang Liu, Lixin Zhu, et al.. (2024). miMatch: a microbial metabolic background matching tool for mitigating host confounding in metagenomics research. Gut Microbes. 16(1). 2434029–2434029. 1 indexed citations
5.
Liu, Yang, et al.. (2024). cyclicpeptide: a Python package for cyclic peptide drug design. Briefings in Bioinformatics. 26(1).
6.
Liu, Lei, Yang Liu, Bin Yang, et al.. (2024). CyclicPepedia: a knowledge base of natural and synthetic cyclic peptides. Briefings in Bioinformatics. 25(3). 17 indexed citations
7.
Zhang, Zicheng, et al.. (2024). Causal relationships between atopic dermatitis and psychiatric disorders: a bidirectional two-sample Mendelian randomization study. BMC Psychiatry. 24(1). 16–16. 11 indexed citations
8.
Liu, Lei, Ruixin Zhu, & Dingfeng Wu. (2023). Misuse of reporter score in microbial enrichment analysis. SHILAP Revista de lepidopterología. 2(2). e95–e95. 5 indexed citations
9.
Gao, Wenxing, Xiang Gao, Lixin Zhu, et al.. (2023). Multimodal metagenomic analysis reveals microbial single nucleotide variants as superior biomarkers for early detection of colorectal cancer. Gut Microbes. 15(2). 2245562–2245562. 17 indexed citations
10.
Xu, Tingjun, Wenxing Gao, Lixin Zhu, et al.. (2023). NAFLDkb: A Knowledge Base and Platform for Drug Development against Nonalcoholic Fatty Liver Disease. Journal of Chemical Information and Modeling. 64(7). 2817–2828. 2 indexed citations
11.
Li, Xiaoyi, Dingfeng Wu, Wenxing Gao, et al.. (2023). Host-microbiota interactions contributing to the heterogeneous tumor microenvironment in colorectal cancer. Physiological Genomics. 56(2). 221–234. 6 indexed citations
12.
Wu, Dingfeng, Lei Liu, Na Jiao, et al.. (2022). Targeting keystone species helps restore the dysbiosis of butyrate‐producing bacteria in nonalcoholic fatty liver disease. SHILAP Revista de lepidopterología. 1(4). e61–e61. 30 indexed citations
13.
Jiao, Na, Rohit Loomba, Zihuan Yang, et al.. (2021). Alterations in bile acid metabolizing gut microbiota and specific bile acid genes as a precision medicine to subclassify NAFLD. Physiological Genomics. 53(8). 336–348. 20 indexed citations
14.
Li, Zhijun, Nan Jia, Wei Cui, et al.. (2021). Epidemiological and clinical findings of discharge patients infected with the 2019 novel coronavirus (SARS-COV-2) in Changchun, Northeast China: A retrospective cohort study. 37(2). 1147–1153. 2 indexed citations
15.
Wu, Dingfeng, Wenxing Gao, Chuan Tian, et al.. (2020). Dr AFC : drug repositioning through anti-fibrosis characteristic. Briefings in Bioinformatics. 22(3). 8 indexed citations
16.
Wang, Xiaoning, Kailin Tang, Dingfeng Wu, et al.. (2019). Comparative Network Pharmacology Analysis of Classical TCM Prescriptions for Chronic Liver Disease. Frontiers in Pharmacology. 10. 1353–1353. 29 indexed citations
17.
Zhang, Qian, Chuan Tian, Chun Li, et al.. (2019). The roles of Qishen granules recipes, Qingre Jiedu, Wenyang Yiqi and Huo Xue, in the treatment of heart failure. Journal of Ethnopharmacology. 249. 112372–112372. 14 indexed citations
18.
Qiu, Tianyi, Han Xiao, Qingchen Zhang, et al.. (2015). Proteochemometric Modeling of the Antigen-Antibody Interaction: New Fingerprints for Antigen, Antibody and Epitope-Paratope Interaction. PLoS ONE. 10(4). e0122416–e0122416. 12 indexed citations
19.
Wu, Dingfeng, Jun Hu, Zhiying Zhang, & Lin Wang. (2013). Evaluation of an HIV-related behavior change project for female sex workers in Central China. Chinese Medical Journal. 126(13). 2451–2458. 1 indexed citations
20.
Gao, Jun, Qi Huang, Dingfeng Wu, et al.. (2012). Study on human GPCR–inhibitor interactions by proteochemometric modeling. Gene. 518(1). 124–131. 14 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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