Wenjia Song

13 papers and 414 indexed citations i.

About

Wenjia Song is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Wenjia Song has authored 13 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Artificial Intelligence. Recurrent topics in Wenjia Song’s work include Phosphodiesterase function and regulation (2 papers), Cancer-related gene regulation (2 papers) and Receptor Mechanisms and Signaling (2 papers). Wenjia Song is often cited by papers focused on Phosphodiesterase function and regulation (2 papers), Cancer-related gene regulation (2 papers) and Receptor Mechanisms and Signaling (2 papers). Wenjia Song collaborates with scholars based in United States, Australia and China. Wenjia Song's co-authors include Jinong Feng, Steve S. Sommer, Chunmei Yang, Yan Jin, Edwin H. Cook, Richard J. Schroer, Cindy Skinner, Charles E. Schwartz, William A. Scaringe and Wenyan Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Wenjia Song i

Fields of papers citing papers by Wenjia Song

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

Countries citing papers authored by Wenjia Song

Since Specialization
Citations

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

Rankless by CCL
2025