Minggui Pan

2.9k total citations · 1 hit paper
60 papers, 2.4k citations indexed

About

Minggui Pan is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Minggui Pan has authored 60 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 23 papers in Pulmonary and Respiratory Medicine and 16 papers in Molecular Biology. Recurrent topics in Minggui Pan's work include Sarcoma Diagnosis and Treatment (18 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Vascular Tumors and Angiosarcomas (8 papers). Minggui Pan is often cited by papers focused on Sarcoma Diagnosis and Treatment (18 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Vascular Tumors and Angiosarcomas (8 papers). Minggui Pan collaborates with scholars based in United States, China and United Kingdom. Minggui Pan's co-authors include Philip A. Stork, Mark Vossler, Randall D. York, Hong Yao, Ying Xiong, Feng Chen, Monte M. Winslow, Robert H. Crabtree, Gérard Karsenty and Lei Deng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Minggui Pan

55 papers receiving 2.3k citations

Hit Papers

cAMP Activates MAP Kinase and Elk-1 through a B-Raf- and ... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minggui Pan United States 19 1.5k 584 349 325 251 60 2.4k
Peter Hein Germany 18 1.2k 0.8× 688 1.2× 401 1.1× 196 0.6× 308 1.2× 34 2.1k
Chun Cheng China 29 1.6k 1.1× 447 0.8× 285 0.8× 403 1.2× 129 0.5× 123 2.6k
Jee‐Yin Ahn South Korea 26 1.2k 0.8× 297 0.5× 237 0.7× 309 1.0× 137 0.5× 77 2.0k
Shuxian Jiang United States 24 1.3k 0.9× 481 0.8× 253 0.7× 271 0.8× 176 0.7× 44 2.3k
Albina Nesterova United States 14 995 0.7× 603 1.0× 207 0.6× 278 0.9× 112 0.4× 24 1.9k
Ian Evans United Kingdom 23 932 0.6× 299 0.5× 233 0.7× 333 1.0× 150 0.6× 52 1.9k
Oliver Renner Spain 19 1.8k 1.3× 429 0.7× 261 0.7× 223 0.7× 156 0.6× 26 3.0k
Xiaozhong Qian United States 17 1.3k 0.9× 627 1.1× 260 0.7× 211 0.6× 142 0.6× 37 2.0k
Raymond R. Mattingly United States 30 1.4k 1.0× 648 1.1× 180 0.5× 174 0.5× 218 0.9× 70 2.3k
Tomoyuki Masuda Japan 28 1.5k 1.0× 448 0.8× 457 1.3× 186 0.6× 269 1.1× 160 2.8k

Countries citing papers authored by Minggui Pan

Since Specialization
Citations

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

Fields of papers citing papers by Minggui Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minggui Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Minggui Pan. A scholar is included among the top collaborators of Minggui 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 Minggui Pan. Minggui 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.
Varma, Sushama, Jack Pengfei Tang, Danielle Graham, et al.. (2025). SCAN-ACT: adoptive T cell therapy target discovery through single-cell transcriptomics. Genome Medicine. 17(1). 89–89.
3.
Chi, Ping, Jian Li, Suzanne George, et al.. (2025). The broad-spectrum KIT inhibitor NB003 and activity in advanced gastrointestinal stromal tumors (GIST): Updated results from a phase 1 study (NCT04936178).. Journal of Clinical Oncology. 43(16_suppl). 11517–11517.
4.
Lin, Jiajing, Zelin Hou, Zhiyuan Wang, et al.. (2025). Annexin A1 mRNA-loaded liposomes alleviate acute pancreatitis by suppressing STING pathway and promoting efferocytosis in macrophages. Nature Nanotechnology. 20(10). 1514–1525. 2 indexed citations
5.
Pan, Minggui, et al.. (2025). Application of artificial intelligence in palliative care: a bibliometric analysis of research hotspots and trends. Frontiers in Medicine. 12. 1597195–1597195.
6.
Pan, Minggui, et al.. (2024). Use of histologic and immunologic factors in sarcoma to predict response rates to immunotherapy.. Journal of Clinical Oncology. 42(16_suppl). 11569–11569. 2 indexed citations
7.
Pan, Minggui, et al.. (2024). Histologic and Immunologic Factors Associated with Response to Immune Checkpoint Inhibitors in Advanced Sarcoma. Clinical Cancer Research. 31(4). 678–684. 3 indexed citations
8.
Pan, Minggui, Zheyang Zhang, Nam Q. Bui, et al.. (2024). PTEN pathogenic variants are associated with poor prognosis in patients with advanced soft tissue sarcoma. PubMed. 2(1). 9–9. 3 indexed citations
9.
Pan, Minggui, et al.. (2024). Recent advances in sarcoma therapy: new agents, strategies and predictive biomarkers. Journal of Hematology & Oncology. 17(1). 124–124. 3 indexed citations
10.
Pan, Minggui, Chen Jiang, Zheyang Zhang, et al.. (2023). Sex- and Co-Mutation-Dependent Prognosis in Patients with SMARCA4-Mutated Malignancies. Cancers. 15(10). 2665–2665. 9 indexed citations
12.
Pan, Minggui, Zheyang Zhang, Nam Q. Bui, et al.. (2023). Sex-dependent Prognosis of Patients with Advanced Soft Tissue Sarcoma. Clinical Cancer Research. 30(2). 413–419. 5 indexed citations
14.
Suga, Jennifer M., Sachdev Thomas, Thach‐Giao Truong, et al.. (2020). Implementing a genomic oncology program in an integrated health care network with large scale genomic Next Generation Sequencing (NGS) testing of advanced cancers in a community setting.. Journal of Clinical Oncology. 38(15_suppl). e19185–e19185. 2 indexed citations
15.
Pan, Yu, Fengchun Lu, Ping Xiong, et al.. (2018). WIPF1 antagonizes the tumor suppressive effect of miR-141/200c and is associated with poor survival in patients with PDAC. Journal of Experimental & Clinical Cancer Research. 37(1). 167–167. 30 indexed citations
16.
Kunz, Pamela L., Raymond R. Balise, Louis Fehrenbacher, et al.. (2016). Oxaliplatin–Fluoropyrimidine Chemotherapy Plus Bevacizumab in Advanced Neuroendocrine Tumors. Pancreas. 45(10). 1394–1400. 50 indexed citations
17.
Chen, Siyu, Lian Zhang, Wenping Ding, et al.. (2015). Arsenic sulfide inhibits cell migration and invasion of gastric cancer in vitro and in vivo. Drug Design Development and Therapy. 9. 5579–5579. 28 indexed citations
18.
Xiong, Yiqin, Wei Li, Ching Shang, et al.. (2013). Brg1 Governs a Positive Feedback Circuit in the Hair Follicle for Tissue Regeneration and Repair. Developmental Cell. 25(2). 169–181. 50 indexed citations
19.
Pan, Minggui, Ying Xiong, & Feng Chen. (2013). NFAT Gene Family in Inflammation and Cancer. Current Molecular Medicine. 13(4). 543–554. 153 indexed citations
20.
Pan, Minggui. (2005). Overexpression of EphA2 gene in invasive human breast cancer and its association with hormone receptor status. Journal of Clinical Oncology. 23(16_suppl). 9583–9583. 18 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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