Harvard–MIT Division of Health Sciences and Technology
Impact in
- Biomaterials top 0.5%
- Electrospun Nanofibers in Biomedical Applications
- Biomedical Engineering top 1%
- 3D Printing in Biomedical Research
- Nanoplatforms for cancer theranostics
- Bone Tissue Engineering Materials
Papers in
-
- 3D Printing in Biomedical Research 497
- Nanoplatforms for cancer theranostics 204
- Microfluidic and Bio-sensing Technologies 198
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- Advanced MRI Techniques and Applications 357
- Top scholars
- Róbert LangerMichael R. HamblinAli KhademhosseiniRaghu KalluriJoseph P. VacantiMiguel A. HernánFeng ZhangRobert A. Weinberg
- Journals
- Magnetic Resonance in Medicine (176 papers)Proceedings of the National Academy of Sciences (138 papers)Biomaterials (110 papers)NeuroImage (108 papers)PLoS ONE (97 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Harvard–MIT Division of Health Sciences and Technology
5.8k papers receiving 633.1k citations
Peers
Comparison fields: 5 of 245
- Biomaterials 77.3k
- Biomedical Engineering 189.8k
- Molecular Medicine 18.7k
- Molecular Biology 202.2k
- Radiology, Nuclear Medicine and Imaging 54.7k
Countries citing scholars working at Harvard–MIT Division of Health Sciences and Technology
This map shows the geographic impact of research produced by authors working at Harvard–MIT Division of Health Sciences and Technology. 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 produced at Harvard–MIT Division of Health Sciences and Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harvard–MIT Division of Health Sciences and Technology more than expected).
Fields of papers published by authors at Harvard–MIT Division of Health Sciences and Technology
This network shows the impact of papers affiliated with Harvard–MIT Division of Health Sciences and Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Harvard–MIT Division of Health Sciences and Technology at the time of their publication.
About Harvard–MIT Division of Health Sciences and Technology
In recent decades, authors affiliated with Harvard–MIT Division of Health Sciences and Technology have published 6.3k papers, which have received a total of 676.8k indexed citations . Scholars at this organization have produced 1.7k papers in Biomedical Engineering, 779 papers in Radiology, Nuclear Medicine and Imaging, 492 papers in Biomaterials, 162 papers in Sensory Systems and 603 papers in Cognitive Neuroscience on the topics of 3D Printing in Biomedical Research (497 papers), Advanced MRI Techniques and Applications (357 papers), Electrospun Nanofibers in Biomedical Applications (292 papers), Tissue Engineering and Regenerative Medicine (214 papers), Nanoplatforms for cancer theranostics (204 papers), Microfluidic and Bio-sensing Technologies (198 papers), RNA Interference and Gene Delivery (195 papers) and Neural dynamics and brain function (190 papers). Their work is cited by papers focused on Biomaterials (77.3k citations), Biomedical Engineering (189.8k citations), Molecular Medicine (18.7k citations), Molecular Biology (202.2k citations) and Radiology, Nuclear Medicine and Imaging (54.7k citations). Authors at Harvard–MIT Division of Health Sciences and Technology collaborate with scholars in United States, China and United Kingdom and have published in prestigious journals including Magnetic Resonance in Medicine, Proceedings of the National Academy of Sciences, Biomaterials, NeuroImage and PLoS ONE. Some of Harvard–MIT Division of Health Sciences and Technology's most productive authors include Róbert Langer, Michael R. Hamblin, Ali Khademhosseini, Raghu Kalluri, Joseph P. Vacanti, Miguel A. Hernán, Feng Zhang, Robert A. Weinberg, Jeffrey M. Karp and F. Ann Ran.
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.