Min Pan

1.3k total citations
22 papers, 912 citations indexed

About

Min Pan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Min Pan has authored 22 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Min Pan's work include Epigenetics and DNA Methylation (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cancer-related Molecular Pathways (4 papers). Min Pan is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cancer-related Molecular Pathways (4 papers). Min Pan collaborates with scholars based in United States, China and Bangladesh. Min Pan's co-authors include Mei Kong, Michael A. Reid, Xazmin H. Lowman, Thai Q. Tran, Ying Yang, Roger S. Lo, Jenny E. Hernandez‐Davies, M.X. Welliver, Jason W. Locasale and David K. Ann and has published in prestigious journals such as Nucleic Acids Research, Genes & Development and Molecular Cell.

In The Last Decade

Min Pan

20 papers receiving 907 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 United States 14 644 504 218 118 69 22 912
Thai Q. Tran United States 14 732 1.1× 646 1.3× 247 1.1× 125 1.1× 110 1.6× 18 1.1k
Chiara Balestrieri Italy 11 738 1.1× 496 1.0× 253 1.2× 153 1.3× 34 0.5× 19 1.1k
Mari B. Ishak Gabra United States 8 471 0.7× 459 0.9× 205 0.9× 73 0.6× 66 1.0× 9 700
Martin F. Orth Germany 11 664 1.0× 478 0.9× 193 0.9× 85 0.7× 33 0.5× 13 940
Gina N. Alesi United States 7 612 1.0× 474 0.9× 148 0.7× 71 0.6× 34 0.5× 9 898
Margaret E. Torrence United States 8 714 1.1× 509 1.0× 286 1.3× 80 0.7× 28 0.4× 13 1.0k
Mirna L.M. Rodriguez United States 9 781 1.2× 756 1.5× 211 1.0× 100 0.8× 120 1.7× 16 1.1k
Cristovão M. Sousa United States 4 683 1.1× 605 1.2× 468 2.1× 173 1.5× 38 0.6× 4 1.2k
Madeleine L. Craze United Kingdom 18 638 1.0× 451 0.9× 204 0.9× 65 0.6× 48 0.7× 22 892

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). LRP5 enhances glioma cell proliferation by modulating the MAPK/p53/cdc2 pathway. International Journal of Medical Sciences. 22(4). 990–1001. 1 indexed citations
2.
Pan, Min, Xiaodong Cheng, Yuanming Feng, et al.. (2025). Cell-free DNA methylation and its potential as a biomarker in liquid biopsy: A systematic review. Clinica Chimica Acta. 576. 120403–120403.
3.
Chapple, Richard H., et al.. (2025). CSI-GEP: A GPU-based unsupervised machine learning approach for recovering gene expression programs in atlas-scale single-cell RNA-seq data. Cell Genomics. 5(1). 100739–100739. 2 indexed citations
4.
Zubair, Asif, Richard H. Chapple, Sivaraman Natarajan, et al.. (2022). Cell type identification in spatial transcriptomics data can be improved by leveraging cell-type-informative paired tissue images using a Bayesian probabilistic model. Nucleic Acids Research. 50(14). e80–e80. 9 indexed citations
5.
Zubair, Asif, Sivaraman Natarajan, William C. Wright, et al.. (2022). Abstract 456: Jointly leveraging spatial transcriptomics and deep learning models for image annotation achieves better-than-pathologist performance in cell type identification in tumors. Cancer Research. 82(12_Supplement). 456–456. 1 indexed citations
6.
Hanse, Eric A., Min Pan, Wenzhu Liu, et al.. (2021). The B56α subunit of PP2A is necessary for mesenchymal stem cell commitment to adipocyte. EMBO Reports. 22(8). e51910–e51910. 2 indexed citations
7.
Liu, Zhiyu, Erteng Jia, Min Pan, et al.. (2019). Analysis of genome-wide in cell free DNA methylation: progress and prospect. The Analyst. 144(20). 5912–5922. 16 indexed citations
8.
Jing, Bo, Chunxue Zhang, Xianjun Liu, et al.. (2017). Glycosylation of dentin matrix protein 1 is a novel key element for astrocyte maturation and BBB integrity. Protein & Cell. 9(3). 298–309. 21 indexed citations
9.
Tran, Thai Q., Mari B. Ishak Gabra, Xazmin H. Lowman, et al.. (2017). Glutamine deficiency induces DNA alkylation damage and sensitizes cancer cells to alkylating agents through inhibition of ALKBH enzymes. PLoS Biology. 15(11). e2002810–e2002810. 44 indexed citations
10.
Zhao, Ai, Ignatius Man‐Yau Szeto, Yan Wang, et al.. (2017). Knowledge, Attitude, and Practice (KAP) of Dairy Products in Chinese Urban Population and the Effects on Dairy Intake Quality. Nutrients. 9(7). 668–668. 14 indexed citations
11.
Pan, Min, Michael A. Reid, Xazmin H. Lowman, et al.. (2016). Regional glutamine deficiency in tumours promotes dedifferentiation through inhibition of histone demethylation. Nature Cell Biology. 18(10). 1090–1101. 276 indexed citations
12.
Tran, Thai Q., Xazmin H. Lowman, Michael A. Reid, et al.. (2016). Tumor-associated mutant p53 promotes cancer cell survival upon glutamine deprivation through p21 induction. Oncogene. 36(14). 1991–2001. 58 indexed citations
13.
Reid, Michael A., Xazmin H. Lowman, Min Pan, et al.. (2016). IKKβ promotes metabolic adaptation to glutamine deprivation via phosphorylation and inhibition of PFKFB3. Genes & Development. 30(16). 1837–1851. 48 indexed citations
14.
Reid, Michael A., Ying Yang, Thai Q. Tran, et al.. (2015). TIPRL Inhibits Protein Phosphatase 4 Activity and Promotes H2AX Phosphorylation in the DNA Damage Response. PLoS ONE. 10(12). e0145938–e0145938. 19 indexed citations
15.
Hernandez‐Davies, Jenny E., Thai Q. Tran, Michael A. Reid, et al.. (2015). Vemurafenib resistance reprograms melanoma cells towards glutamine dependence. Journal of Translational Medicine. 13(1). 210–210. 91 indexed citations
16.
Reid, Michael A., et al.. (2013). The B55α Subunit of PP2A Drives a p53-Dependent Metabolic Adaptation to Glutamine Deprivation. Molecular Cell. 50(2). 200–211. 129 indexed citations
17.
Chen, Xin, Min Pan, Lulu Han, et al.. (2013). miR‐338‐3p suppresses neuroblastoma proliferation, invasion and migration through targeting PREX2a. FEBS Letters. 587(22). 3729–3737. 81 indexed citations
18.
Zhang, Shengjie, Tingting Jiang, Lifeng Feng, et al.. (2012). Yin Yang-1 suppresses differentiation of hepatocellular carcinoma cells through the downregulation of CCAAT/enhancer-binding protein alpha. Journal of Molecular Medicine. 90(9). 1069–1077. 31 indexed citations
19.
Feng, Lifeng, Min Pan, Jie Sun, et al.. (2012). Histone deacetylase 3 inhibits expression of PUMA in gastric cancer cells. Journal of Molecular Medicine. 91(1). 49–58. 35 indexed citations
20.
Pan, Min. (2006). Studies on Saponin Constituents of Pentaceraster Semper. Chinese Journal of Natural Medicines.

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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