Xiaoli Pan

About

Xiaoli Pan is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Xiaoli Pan has authored 26 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Immunology and 5 papers in Cancer Research. Recurrent topics in Xiaoli Pan’s work include Cancer-related molecular mechanisms research (3 papers), Computational Drug Discovery Methods (3 papers) and Melanoma and MAPK Pathways (3 papers). Xiaoli Pan is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Computational Drug Discovery Methods (3 papers) and Melanoma and MAPK Pathways (3 papers). Xiaoli Pan collaborates with scholars based in China, United States and United Kingdom. Xiaoli Pan's co-authors include Liang Ouyang, Guan Wang, Yumeng Zhu, Junping Pei and Shuai Wen and has published in prestigious journals such as PLoS ONE, Cancer Cell and Chemosphere.

In The Last Decade

Fields of papers citing papers by Xiaoli Pan

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Xiaoli Pan. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaoli Pan may publish in the future.

Countries citing papers authored by Xiaoli Pan

Since Specialization

Citations

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

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