Minggui Pan

2.9k citations
60 papers · 2.4k indexed · 1 hit paper · h-index 19

Minggui Pan

55 papers receiving 2.3k citations

Hit Papers

cAMP Activates MAP Kinase and Elk-1 through a B-Raf- and ...9421997202620062016250500750

Peers

Minggui Pan
Comparison fields: 5 of 109
  • Oncology 584
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 349
  • Cancer Research 245
  • Immunology 325
Replace Vera P. Krymskaya with:
Vera P. Krymskaya United States
Chihiro Mogi Japan
Xiaobing Yu United States
Elena A. Goncharova United States
Robert N. Correll United States
Hsiang–Po Huang Taiwan
Reimar Abraham Italy
Toyoshi Endo Japan
Jop H. van Berlo United States
Christophe A. Girard United Kingdom
Minggui Pan relative to Vera P. Krymskaya United States Vera P. Krymskaya's profile →
Citations per field
00.5×1.5×
Vera P. Krymskaya · 1×
Citations per year

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

The 25 scholars most cited alongside Minggui Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minggui Pan Line = papers co-authored together Minggui Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20252
4 20250
5 202511
6 20242
7 20243
8 20243
9 20243
10 20239
11 20235
12 20236
13 20231
14 201830
15 201650
16 201350
17 20136
18 2010120
19 200716
20
cAMP Activates MAP Kinase and Elk-1 through a B-Raf- and Rap1-Dependent Pathwaybreakdown →
1997942

About Minggui Pan

Minggui Pan is a scholar working on Health Informatics, Oncology and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (18 papers), Pancreatic and Hepatic Oncology Research (9 papers), Vascular Tumors and Angiosarcomas (8 papers), CAR-T cell therapy research (7 papers), Cancer Genomics and Diagnostics (6 papers), Lung Cancer Treatments and Mutations (4 papers), Cardiac tumors and thrombi (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Oncology (584 citations), Molecular Biology (1.5k citations) and Cellular and Molecular Neuroscience (349 citations). Minggui Pan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Philip A. Stork, Hong Yao, Randall D. York, Mark Vossler, Feng Chen, Ying Xiong, Robert H. Crabtree, Monte M. Winslow, Michael W. Starbuck and Elena Gallo. Their work appears in journals such as Journal of Clinical Oncology, JCO Oncology Practice, Cancers, Clinical Cancer Research and Frontiers in Medicine.

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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