Ming Lin

50 papers and 1.2k indexed citations i.

About

Ming Lin is a scholar working on Molecular Biology, Oncology and Statistics and Probability. According to data from OpenAlex, Ming Lin has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Oncology and 8 papers in Statistics and Probability. Recurrent topics in Ming Lin’s work include Ubiquitin and proteasome pathways (9 papers), Advanced Causal Inference Techniques (5 papers) and Statistical Methods and Inference (5 papers). Ming Lin is often cited by papers focused on Ubiquitin and proteasome pathways (9 papers), Advanced Causal Inference Techniques (5 papers) and Statistical Methods and Inference (5 papers). Ming Lin collaborates with scholars based in China, United States and Taiwan. Ming Lin's co-authors include Jie Liang, Genze Shao, Li Li, Rong Chen and Rouli Zhou and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and The Journal of Cell Biology.

In The Last Decade

Fields of papers citing papers by Ming Lin

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

Countries citing papers authored by Ming Lin

Since Specialization
Citations

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

Rankless by CCL
2025