Peixin Lu

925 total citations
17 papers, 410 citations indexed

About

Peixin Lu is a scholar working on Molecular Biology, Neurology and Sociology and Political Science. According to data from OpenAlex, Peixin Lu has authored 17 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Neurology and 3 papers in Sociology and Political Science. Recurrent topics in Peixin Lu's work include Neurological Disease Mechanisms and Treatments (2 papers), Misinformation and Its Impacts (2 papers) and Brain Tumor Detection and Classification (2 papers). Peixin Lu is often cited by papers focused on Neurological Disease Mechanisms and Treatments (2 papers), Misinformation and Its Impacts (2 papers) and Brain Tumor Detection and Classification (2 papers). Peixin Lu collaborates with scholars based in China, United States and Israel. Peixin Lu's co-authors include Long Lu, Lianting Hu, Xin Li, Liang Hong, Mengqi Luo, Wei Lu, Ruixue Wang, Songfeng Chen, Xingping Qin and Meng‐Xian Pan and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Peixin Lu

16 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peixin Lu China	11	89	83	68	62	59	17	410
Mingquan Ye China	11	39 0.4×	154 1.9×	180 2.6×	10 0.2×	15 0.3×	39	527
Matthew A. Summers Australia	13	14 0.2×	142 1.7×	99 1.5×	34 0.5×	10 0.2×	16	555
Hongyu Liu China	14	71 0.8×	131 1.6×	64 0.9×	26 0.4×	91 1.5×	44	566
Zina Ibrahim United Kingdom	12	38 0.4×	239 2.9×	194 2.9×	13 0.2×	11 0.2×	32	598
Jan Homolak Croatia	14	46 0.5×	107 1.3×	55 0.8×	16 0.3×	16 0.3×	47	725
Chang Su United States	11	17 0.2×	224 2.7×	216 3.2×	13 0.2×	28 0.5×	26	632
Inyoung Choi South Korea	12	16 0.2×	50 0.6×	23 0.3×	16 0.3×	25 0.4×	47	422
Alpha Tom Kodamullil Germany	15	37 0.4×	348 4.2×	129 1.9×	12 0.2×	7 0.1×	39	583
José Antonio Estrada Mexico	13	19 0.2×	54 0.7×	86 1.3×	83 1.3×	12 0.2×	49	510
Michael Kellen United States	8	9 0.1×	267 3.2×	68 1.0×	28 0.5×	13 0.2×	11	906

Countries citing papers authored by Peixin Lu

Since Specialization

Citations

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

Fields of papers citing papers by Peixin Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peixin Lu

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

All Works

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17 of 17 papers shown

Zhang, Ying, Peixin Lu, Pai Peng, et al.. (2024). Acute Cu exposure induces neurotoxicity via DAF-16/FoxO and SKN-1/Nrf2 pathway. Journal of Environmental Sciences. 157. 489–500. 1 indexed citations

Wen, Bingqiang, Guolun Wang, Dengfeng Gao, et al.. (2024). CRISPR-Cas9 Genome Editing Allows Generation of the Mouse Lung in a Rat. American Journal of Respiratory and Critical Care Medicine. 210(2). 167–177. 5 indexed citations

Lu, Peixin, Lianting Hu, Alexis Mitelpunkt, et al.. (2023). A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer’s disease. Biomedical Signal Processing and Control. 88. 105669–105669. 20 indexed citations

Hu, Lianting, et al.. (2022). A Novel Approach of Feature Space Reconstruction with Three-Way Decisions for Long-Tailed Text Classification. Computational Intelligence and Neuroscience. 2022. 1–11.

Lu, Peixin, et al.. (2022). A Two-Stage Model for Predicting Mild Cognitive Impairment to Alzheimer’s Disease Conversion. Frontiers in Aging Neuroscience. 14. 826622–826622. 15 indexed citations

Lu, Peixin, et al.. (2022). What are the key indicators for evaluating the service satisfaction of WeChat official accounts in Chinese academic libraries?. Library Hi Tech. 41(3). 788–806. 10 indexed citations

Li, Xin, Peixin Lu, Lianting Hu, Xiaoguang Wang, & Long Lu. (2021). A novel self-learning semi-supervised deep learning network to detect fake news on social media. Multimedia Tools and Applications. 81(14). 19341–19349. 46 indexed citations

Lu, Peixin, Xin Li, Lianting Hu, & Long Lu. (2021). Integrating genomic and resting State fMRI for efficient autism spectrum disorder classification. Multimedia Tools and Applications. 81(14). 19183–19194. 11 indexed citations

Lu, Peixin, et al.. (2020). The psychological states of people after Wuhan eased the lockdown. PLoS ONE. 15(11). e0241173–e0241173. 29 indexed citations

10.

Yeo, Syn Kok, Xiaoting Zhu, Takako Okamoto, et al.. (2020). Single-cell RNA-sequencing reveals distinct patterns of cell state heterogeneity in mouse models of breast cancer. eLife. 9. 42 indexed citations

11.

Lu, Peixin, et al.. (2020). Consumer health information needs in China – a case study of depression based on a Social Q&A community. BMC Medical Informatics and Decision Making. 20(S3). 130–130. 7 indexed citations

12.

Li, Xin, et al.. (2020). Factors Associated with Mental Health Results among Workers with Income Losses Exposed to COVID-19 in China. International Journal of Environmental Research and Public Health. 17(15). 5627–5627. 45 indexed citations

13.

Chen, Tao, Peixin Lu, & Long Lu. (2020). Design Of ASD Subtyping Approach based on Multi-Omics Data to Promote Personalized Healthcare. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 indexed citations

14.

Liu, Rui, Jun‐Chun Tang, Meng‐Xian Pan, et al.. (2019). BpV(pic) confers neuroprotection by inhibiting M1 microglial polarization and MCP-1 expression in rat traumatic brain injury. Molecular Immunology. 112. 30–39. 22 indexed citations

15.

Hong, Liang, Mengqi Luo, Ruixue Wang, et al.. (2019). Big Data in Health Care: Applications and Challenges. 0(0). 14 indexed citations

16.

Liu, Rui, Meng‐Xian Pan, Jun‐Chun Tang, et al.. (2019). Glycine Exhibits Neuroprotective Effects in Ischemic Stroke in Rats through the Inhibition of M1 Microglial Polarization via the NF-κB p65/Hif-1α Signaling Pathway. The Journal of Immunology. 202(6). 1704–1714. 93 indexed citations

17.

Hong, Liang, Mengqi Luo, Ruixue Wang, et al.. (2018). Big Data in Health Care: Applications and Challenges. 2(3). 175–197. 49 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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