Min Pan

851 total citations
39 papers, 580 citations indexed

About

Min Pan is a scholar working on Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Min Pan has authored 39 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Cancer Research and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Min Pan's work include Cancer-related molecular mechanisms research (8 papers), Cancer Genomics and Diagnostics (6 papers) and Molecular Biology Techniques and Applications (6 papers). Min Pan is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), Cancer Genomics and Diagnostics (6 papers) and Molecular Biology Techniques and Applications (6 papers). Min Pan collaborates with scholars based in China, United States and Bangladesh. Min Pan's co-authors include Qinyu Ge, Jianming Xu, Yu‐Lin Song, Erteng Jia, Yunfei Bai, Huajuan Shi, Zhiyu Liu, Ying Zhou, Xiangwei Zhao and Jiafeng Lu and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and ACS Applied Materials & Interfaces.

In The Last Decade

Min Pan

36 papers receiving 571 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Min Pan China 13 295 155 83 72 62 39 580
Tammy M. Barnes United States 10 254 0.9× 45 0.3× 93 1.1× 67 0.9× 55 0.9× 12 491
Isabel Sousa Portugal 7 540 1.8× 110 0.7× 139 1.7× 236 3.3× 56 0.9× 8 1.0k
Zhengtong Pei United States 17 643 2.2× 136 0.9× 81 1.0× 213 3.0× 43 0.7× 24 944
Ruifang Wang China 13 290 1.0× 155 1.0× 113 1.4× 38 0.5× 12 0.2× 26 540
Tong Jiao China 15 211 0.7× 134 0.9× 119 1.4× 124 1.7× 33 0.5× 36 542
Ioannis M. Stylianou United States 17 354 1.2× 75 0.5× 87 1.0× 108 1.5× 25 0.4× 31 959
David Aguilar-Recarte Spain 17 277 0.9× 42 0.3× 124 1.5× 156 2.2× 86 1.4× 23 693
Rie Kajino‐Sakamoto Japan 13 359 1.2× 145 0.9× 56 0.7× 57 0.8× 84 1.4× 15 705
Paloma Fernández Spain 12 313 1.1× 76 0.5× 48 0.6× 112 1.6× 21 0.3× 18 760
Covadonga Huidobro Spain 20 468 1.6× 65 0.4× 109 1.3× 129 1.8× 103 1.7× 30 992

Countries citing papers authored by Min Pan

Since Specialization
Citations

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

Fields of papers citing papers by Min Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Min Pan. A scholar is included among the top collaborators of Min Pan 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 Min Pan. Min Pan 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.
Pan, Min, et al.. (2025). Improvement of Signal Decomposition Variational Mode Decomposition Method Based on African Vulture Optimization Algorithm. Traitement du signal. 42(1). 19–27. 1 indexed citations
2.
Zhong, Qi, et al.. (2025). Adaptive pre-excitation control of high speed on/off valve for preserving the dynamic performance against temperature effects. Thermal Science and Engineering Progress. 64. 103783–103783.
3.
Zhou, Ying, Qinyu Ge, Moxin Li, et al.. (2025). Full-length spatial transcriptome strategy based on robust and low-cost target tissue capture. Biosensors and Bioelectronics. 291. 118018–118018. 1 indexed citations
4.
Shi, Huajuan, Qinyu Ge, Min Pan, et al.. (2024). Agarose amplification based sequencing characterization cell-free RNA in preimplantation spent embryo medium. Analytica Chimica Acta. 1296. 342331–342331.
5.
Pan, Min, Huajuan Shi, Ting Qi, Lingbo Cai, & Qinyu Ge. (2024). The biological characteristics of long cell-free DNA in spent embryos culture medium as noninvasive biomarker in in-vitro embryo selection. Gene. 927. 148667–148667. 1 indexed citations
6.
Miao, Manli, Min Pan, Xu Chen, et al.. (2024). IL-13 facilitates ferroptotic death in asthmatic epithelial cells via SOCS1-mediated ubiquitinated degradation of SLC7A11. Redox Biology. 71. 103100–103100. 18 indexed citations
7.
Pan, Min, Ling Zhang, Xiaoxia Feng, et al.. (2024). Poly-l-arginine promotes ferroptosis in asthmatic airway epithelial cells by modulating PBX1/GABARAPL1 axis. International Journal of Biological Macromolecules. 286. 138478–138478. 3 indexed citations
8.
Pan, Min, et al.. (2023). scRNA‐seq data analysis method to improve analysis performance. IET Nanobiotechnology. 17(3). 246–256. 22 indexed citations
9.
Qi, Ting, Min Pan, Huajuan Shi, et al.. (2023). Cell-Free DNA Fragmentomics: The Novel Promising Biomarker. International Journal of Molecular Sciences. 24(2). 1503–1503. 44 indexed citations
10.
Zhou, Ying, Min Pan, Jing Tu, et al.. (2023). Spatial Transcriptomic Analysis Reveals Regional Transcript Changes in Early and Late Stages of rd1 Model Mice with Retinitis Pigmentosa. International Journal of Molecular Sciences. 24(19). 14869–14869. 4 indexed citations
11.
Shi, Huajuan, Ying Zhou, Erteng Jia, et al.. (2021). Bias in RNA‐seq Library Preparation: Current Challenges and Solutions. BioMed Research International. 2021(1). 6647597–6647597. 57 indexed citations
12.
Jia, Erteng, Huajuan Shi, Ying Wang, et al.. (2021). Optimization of library preparation based on SMART for ultralow RNA-seq in mice brain tissues. BMC Genomics. 22(1). 809–809. 5 indexed citations
13.
Pan, Min, Huajuan Shi, Zhiyu Liu, et al.. (2021). The integrity of cfDNA in follicular fluid and spent medium from embryo culture is associated with embryo grade in patients undergoing in vitro fertilization. Journal of Assisted Reproduction and Genetics. 38(12). 3113–3124. 5 indexed citations
14.
Shi, Huajuan, Ying Zhou, Erteng Jia, et al.. (2021). Comparative analysis of circular RNA enrichment methods. RNA Biology. 19(1). 55–67. 17 indexed citations
15.
Xu, Chunxiang, et al.. (2020). A survey on the attitudes of Chinese medical students towards current pathology education. BMC Medical Education. 20(1). 12 indexed citations
16.
Jia, Erteng, Min Pan, Zhiyu Liu, et al.. (2020). Transcriptomic profiling of differentially expressed genes and related pathways in different brain regions in Parkinson’s disease. Neuroscience Letters. 732. 135074–135074. 17 indexed citations
17.
Pan, Min, et al.. (2017). Overexpression of Dentin matrix protein 1 in Nestin+ cells causes bone loss in mouse long bone. Biochemical and Biophysical Research Communications. 490(2). 356–363. 6 indexed citations
18.
Nikolakakis, Kiel, et al.. (2017). Model-enabled gene search (MEGS) allows fast and direct discovery of enzymatic and transport gene functions in the marine bacterium Vibrio fischeri. Journal of Biological Chemistry. 292(24). 10250–10261. 6 indexed citations
19.
Pan, Min, Peikuan Cong, Yue Wang, et al.. (2011). Novel LOVD databases for hereditary breast cancer and colorectal cancer genes in the Chinese population. Human Mutation. 32(12). 1335–1340. 12 indexed citations
20.
Pan, Min, et al.. (2006). Melatonin ameliorates nonalcoholic fatty liver induced by high‐fat diet in rats. Journal of Pineal Research. 41(1). 79–84. 142 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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