Sha Jin

About

Sha Jin is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Sha Jin has authored 26 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Hematology and 4 papers in Cell Biology. Recurrent topics in Sha Jin’s work include Cell death mechanisms and regulation (7 papers), Protein Degradation and Inhibitors (6 papers) and Acute Myeloid Leukemia Research (5 papers). Sha Jin is often cited by papers focused on Cell death mechanisms and regulation (7 papers), Protein Degradation and Inhibitors (6 papers) and Acute Myeloid Leukemia Research (5 papers). Sha Jin collaborates with scholars based in United States and China. Sha Jin's co-authors include Stephen K. Tahir, Saul H. Rosenberg, Steven W. Elmore and Haichao Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Fields of papers citing papers by Sha 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 Sha Jin. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sha Jin may publish in the future.

Countries citing papers authored by Sha Jin

Since Specialization

Citations

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

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