Mika Wada

About

Mika Wada is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mika Wada has authored 30 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Surgery and 7 papers in Genetics. Recurrent topics in Mika Wada’s work include Angiogenesis and VEGF in Cancer (8 papers), Mesenchymal stem cell research (7 papers) and Pancreatic Islet Dysfunction and Regeneration (5 papers). Mika Wada is often cited by papers focused on Angiogenesis and VEGF in Cancer (8 papers), Mesenchymal stem cell research (7 papers) and Pancreatic Islet Dysfunction and Regeneration (5 papers). Mika Wada collaborates with scholars based in Japan, United States and United Kingdom. Mika Wada's co-authors include Takayuki Asahara, Haruchika Masuda, Hideo Mugishima, Kohichiro Tsuji and Yasuhiro Ebihara and has published in prestigious journals such as Circulation, Blood and PLoS ONE.

In The Last Decade

Fields of papers citing papers by Mika Wada

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

Countries citing papers authored by Mika Wada

Since Specialization

Citations

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

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