Countries where authors publish in Nanotheranostics
Since Specialization
Citations
This map shows the geographic impact of research published in Nanotheranostics. 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 papers published in Nanotheranostics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanotheranostics more than expected).
This network shows the impact of papers published in Nanotheranostics. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Nanotheranostics.
About Nanotheranostics
The 273 papers published in Nanotheranostics in the last decades have received a total of 6.4k indexed citations . Papers published in Nanotheranostics usually cover Biomaterials (81 papers), Biomedical Engineering (144 papers), Biophysics (9 papers), Cancer Research (18 papers) and Molecular Biology (89 papers) specifically the topics of Nanoplatforms for cancer theranostics (84 papers), Nanoparticle-Based Drug Delivery (76 papers), Advanced biosensing and bioanalysis techniques (34 papers), RNA Interference and Gene Delivery (27 papers), Gold and Silver Nanoparticles Synthesis and Applications (23 papers), Photoacoustic and Ultrasonic Imaging (23 papers), Biosensors and Analytical Detection (18 papers) and Ultrasound and Hyperthermia Applications (18 papers). The most active scholars publishing in Nanotheranostics are Mahbuba Rahman, J. Manuel Perez, Derek Reichel, Manisha Tripathi, Upendra Chitgupi, Yiru Qin, Jonathan F. Lovell, Elham Ahmadian, Dawid Janas and Aziz Eftekhari.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.