Fen Long

About

Fen Long is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Fen Long has authored 24 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Immunology and 4 papers in Physiology. Recurrent topics in Fen Long’s work include Epigenetics and DNA Methylation (3 papers), Sulfur Compounds in Biology (3 papers) and Natural product bioactivities and synthesis (2 papers). Fen Long is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Sulfur Compounds in Biology (3 papers) and Natural product bioactivities and synthesis (2 papers). Fen Long collaborates with scholars based in China, Macao and Singapore. Fen Long's co-authors include Yi Zhun Zhu, Di Yang, Xinhua Liu, Weijun Wu and Mengwei Huang and has published in prestigious journals such as Advanced Materials, Nature Cell Biology and Biochemical and Biophysical Research Communications.

In The Last Decade

Fields of papers citing papers by Fen Long

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

Countries citing papers authored by Fen Long

Since Specialization

Citations

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

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