Ling Gu

About

Ling Gu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ling Gu has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 20 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Ling Gu’s work include Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related molecular mechanisms research (6 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Ling Gu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Cancer-related molecular mechanisms research (6 papers) and PI3K/AKT/mTOR signaling in cancer (6 papers). Ling Gu collaborates with scholars based in China, United States and Denmark. Ling Gu's co-authors include Ju Gao, Zhigui Ma, Yiping Zhu, Yanle Zhang and Xiao‐Yue Zhai and has published in prestigious journals such as Nature, Blood and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Ling Gu

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 Ling Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ling Gu may publish in the future.

Countries citing papers authored by Ling Gu

Since Specialization

Citations

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

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