Kailong Jin

About

Kailong Jin is a scholar working on Polymers and Plastics, Biomaterials and Materials Chemistry. According to data from OpenAlex, Kailong Jin has authored 42 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Polymers and Plastics, 16 papers in Biomaterials and 15 papers in Materials Chemistry. Recurrent topics in Kailong Jin’s work include Self-Healing Polymer Materials (13 papers), biodegradable polymer synthesis and properties (12 papers) and Polymer Nanocomposites and Properties (8 papers). Kailong Jin is often cited by papers focused on Self-Healing Polymer Materials (13 papers), biodegradable polymer synthesis and properties (12 papers) and Polymer Nanocomposites and Properties (8 papers). Kailong Jin collaborates with scholars based in United States, France and Israel. Kailong Jin's co-authors include John M. Torkelson, Christopher J. Ellison, Frank S. Bates and Lingqiao Li and has published in prestigious journals such as Advanced Materials, Nature Communications and Biomaterials.

In The Last Decade

Fields of papers citing papers by Kailong Jin

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

Countries citing papers authored by Kailong Jin

Since Specialization

Citations

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

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