Mingkun Lu

483 total citations
16 papers, 346 citations indexed

About

Mingkun Lu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Mingkun Lu has authored 16 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Spectroscopy. Recurrent topics in Mingkun Lu's work include Computational Drug Discovery Methods (6 papers), Machine Learning in Bioinformatics (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mingkun Lu is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Machine Learning in Bioinformatics (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mingkun Lu collaborates with scholars based in China. Mingkun Lu's co-authors include Feng Zhu, Minjie Mou, Fengcheng Li, Jiayi Yin, Zhaorong Li, Yu Chen, Ziqi Pan, Haibin Dai, Hongning Zhang and Lingyan Zheng and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome biology.

In The Last Decade

Mingkun Lu

15 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mingkun Lu China 9 224 114 43 29 28 16 346
Huaicheng Sun China 7 233 1.0× 82 0.7× 93 2.2× 30 1.0× 14 0.5× 10 366
Niclas Tue Hansen Denmark 6 252 1.1× 80 0.7× 34 0.8× 29 1.0× 29 1.0× 7 389
Sezen Vatansever United States 7 244 1.1× 118 1.0× 14 0.3× 14 0.5× 66 2.4× 11 449
Pemra Özbek Türkiye 10 281 1.3× 56 0.5× 18 0.4× 16 0.6× 36 1.3× 39 419
Siqi Liang United States 10 437 2.0× 143 1.3× 21 0.5× 27 0.9× 67 2.4× 16 532
Ruijiang Li China 7 178 0.8× 49 0.4× 45 1.0× 10 0.3× 14 0.5× 13 249
Steve Agajanian United States 11 266 1.2× 132 1.2× 17 0.4× 16 0.6× 28 1.0× 17 374
Vigneshwari Subramanian United Kingdom 8 243 1.1× 210 1.8× 17 0.4× 23 0.8× 76 2.7× 15 328
Kyle D. Konze United States 8 539 2.4× 107 0.9× 56 1.3× 8 0.3× 58 2.1× 10 613
Pralay Mitra India 13 311 1.4× 69 0.6× 17 0.4× 14 0.5× 69 2.5× 38 422

Countries citing papers authored by Mingkun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mingkun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingkun Lu

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

All Works

16 of 16 papers shown
1.
2.
Zheng, Lingyan, Wei Hu, Mingkun Lu, et al.. (2025). LocPro: A deep learning-based prediction of protein subcellular localization for promoting multi-directional pharmaceutical research. Journal of Pharmaceutical Analysis. 15(8). 101255–101255. 2 indexed citations
3.
Zheng, Lingyan, Mingkun Lu, Ziqi Pan, et al.. (2024). AnnoPRO: a strategy for protein function annotation based on multi-scale protein representation and a hybrid deep learning of dual-path encoding. Genome biology. 25(1). 41–41. 38 indexed citations
4.
Zheng, Lingyan, Xiuna Sun, Mingkun Lu, et al.. (2024). MoDAFold: a strategy for predicting the structure of missense mutant protein based on AlphaFold2 and molecular dynamics. Briefings in Bioinformatics. 25(2). 20 indexed citations
5.
Zhang, Wei, Minjie Mou, Wei Hu, et al.. (2024). MOINER: A Novel Multiomics Early Integration Framework for Biomedical Classification and Biomarker Discovery. Journal of Chemical Information and Modeling. 64(7). 2720–2732. 4 indexed citations
6.
Yin, Jiayi, Hanyu Zhang, Xiuna Sun, et al.. (2023). Decoding Drug Response With Structurized Gridding Map-Based Cell Representation. IEEE Journal of Biomedical and Health Informatics. 29(3). 1702–1713. 10 indexed citations
7.
Zhang, Song, Yintao Zhang, Xiao Hu, et al.. (2023). RNAenrich: a web server for non-coding RNA enrichment. Bioinformatics. 39(7). 8 indexed citations
8.
Lu, Mingkun, Jiayi Yin, Qi Zhu, et al.. (2023). Artificial Intelligence in Pharmaceutical Sciences. Engineering. 27. 37–69. 72 indexed citations
9.
Yin, Jiayi, et al.. (2023). State-of-the-art Application of Artificial Intelligence to Transporter-centeredFunctional and Pharmaceutical Research. Current Drug Metabolism. 24(3). 162–174. 3 indexed citations
10.
Zhang, Hongning, et al.. (2023). SoCube: an innovative end-to-end doublet detection algorithm for analyzing scRNA-seq data. Briefings in Bioinformatics. 24(3). 8 indexed citations
11.
Mou, Minjie, Ziqi Pan, Mingkun Lu, et al.. (2022). Application of Machine Learning in Spatial Proteomics. Journal of Chemical Information and Modeling. 62(23). 5875–5895. 33 indexed citations
12.
Li, Fengcheng, Jiayi Yin, Mingkun Lu, et al.. (2022). ConSIG: consistent discovery of molecular signature from OMIC data. Briefings in Bioinformatics. 23(4). 59 indexed citations
13.
Zhang, Chenyang, Minjie Mou, Ying Zhou, et al.. (2022). Biological activities of drug inactive ingredients. Briefings in Bioinformatics. 23(5). 12 indexed citations
14.
Li, Fengcheng, Jiayi Yin, Mingkun Lu, et al.. (2022). DrugMAP: molecular atlas and pharma-information of all drugs. Nucleic Acids Research. 51(D1). D1288–D1299. 74 indexed citations
15.
Liu, Ji‐Kai, Huan Sun, Yue Jiang, et al.. (2020). Iron-Catalyzed Tandem Radical Addition/Cyclization: Highly Efficient Access to Methylated Quinoline-2,4-diones. Synlett. 31(20). 2049–2053. 2 indexed citations
16.

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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