Song Nie

About

Song Nie is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Song Nie has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Spectroscopy and 5 papers in Oncology. Recurrent topics in Song Nie’s work include Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (5 papers). Song Nie is often cited by papers focused on Advanced Proteomics Techniques and Applications (17 papers), Mass Spectrometry Techniques and Applications (12 papers) and Glycosylation and Glycoproteins Research (5 papers). Song Nie collaborates with scholars based in United States, China and Taiwan. Song Nie's co-authors include David M. Lubman, Jianhui Zhu, Tujin Shi, Zhijing Tan and Richard Smith and has published in prestigious journals such as PLoS ONE, Molecular and Cellular Biology and Analytical Chemistry.

In The Last Decade

Fields of papers citing papers by Song Nie

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

Countries citing papers authored by Song Nie

Since Specialization

Citations

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

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