Song Feng

About

Song Feng is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Song Feng has authored 36 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Surgery. Recurrent topics in Song Feng’s work include Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (6 papers) and Metabolic Engineering and Synthetic Biology (5 papers). Song Feng is often cited by papers focused on Gene Regulatory Network Analysis (9 papers), Bioinformatics and Genomic Networks (6 papers) and Metabolic Engineering and Synthetic Biology (5 papers). Song Feng collaborates with scholars based in United States, China and United Kingdom. Song Feng's co-authors include Orkun S. Soyer, Géremy Clair, Weijun Qian, Yen Ting Lin and William S. Hlavacek and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Nature Communications.

In The Last Decade

Fields of papers citing papers by Song Feng

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

Countries citing papers authored by Song Feng

Since Specialization

Citations

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

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