Jin Song Shen

About

Jin Song Shen is a scholar working on Molecular Biology, Immunology and Biomaterials. According to data from OpenAlex, Jin Song Shen has authored 11 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Biomaterials. Recurrent topics in Jin Song Shen’s work include Pluripotent Stem Cells Research (2 papers), Silk-based biomaterials and applications (2 papers) and Dyeing and Modifying Textile Fibers (2 papers). Jin Song Shen is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Silk-based biomaterials and applications (2 papers) and Dyeing and Modifying Textile Fibers (2 papers). Jin Song Shen collaborates with scholars based in Japan, United Kingdom and Hong Kong. Jin Song Shen's co-authors include Takashi Yokoo, Yoshikatsu Eto, Toya Ohashi, Tatsuo Hosoya and Yasunori Utsunomiya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Jin Song Shen

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

Countries citing papers authored by Jin Song Shen

Since Specialization

Citations

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

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