Long Su

72 papers and 2.0k indexed citations i.

About

Long Su is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Long Su has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 25 papers in Hematology and 12 papers in Genetics. Recurrent topics in Long Su’s work include Acute Myeloid Leukemia Research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Long Su is often cited by papers focused on Acute Myeloid Leukemia Research (23 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Long Su collaborates with scholars based in China, United States and Japan. Long Su's co-authors include Sujun Gao, Yehui Tan, Wei Li, Qingwen Yang and Qian Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Fields of papers citing papers by Long Su

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

Countries citing papers authored by Long Su

Since Specialization
Citations

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

Rankless by CCL
2025