Countries where authors publish in Technology in Cancer Research & Treatment
Since Specialization
Citations
This map shows the geographic impact of research published in Technology in Cancer Research & Treatment. 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 Technology in Cancer Research & Treatment with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Technology in Cancer Research & Treatment more than expected).
Fields of papers published in Technology in Cancer Research & Treatment
This network shows the impact of papers published in Technology in Cancer Research & Treatment. 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 Technology in Cancer Research & Treatment.
About Technology in Cancer Research & Treatment
The 2.7k papers published in Technology in Cancer Research & Treatment in the last decades have received a total of 45.2k indexed citations . Papers published in Technology in Cancer Research & Treatment usually cover Radiation (507 papers), Cancer Research (437 papers), Radiology, Nuclear Medicine and Imaging (547 papers), Pulmonary and Respiratory Medicine (733 papers) and Otorhinolaryngology (75 papers) specifically the topics of Advanced Radiotherapy Techniques (500 papers), Medical Imaging Techniques and Applications (197 papers), Radiation Therapy and Dosimetry (174 papers), Cancer-related molecular mechanisms research (166 papers), Radiomics and Machine Learning in Medical Imaging (145 papers), MicroRNA in disease regulation (144 papers), Lung Cancer Diagnosis and Treatment (144 papers) and RNA modifications and cancer (128 papers). The most active scholars publishing in Technology in Cancer Research & Treatment are Boris Rubinsky, Zheng Huang, Gary Onik, Paul Mikus, Kanika Jain, Samuel Achilefu, Jonathan Leor, Mukesh Verma, Rafael V. Davalos and Jaspreet K. Vasir.
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.