Long Gu

About

Long Gu is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Long Gu has authored 12 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Long Gu’s work include Chemokine receptors and signaling (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Protist diversity and phylogeny (2 papers). Long Gu is often cited by papers focused on Chemokine receptors and signaling (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Protist diversity and phylogeny (2 papers). Long Gu collaborates with scholars based in United States, China and Japan. Long Gu's co-authors include Barrett J. Rollins, BARBARA J. RUTLEDGE, Zhongxiang Chen, Susan Tseng and Iqbal S. Grewal and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Fields of papers citing papers by Long 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 Long Gu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Long Gu may publish in the future.

Countries citing papers authored by Long Gu

Since Specialization

Citations

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

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