Massachusetts General Hospital

8.2M citations
154.7k papers ·

Impact in

Papers in

Massachusetts General Hospital

146.0k papers receiving 8.1M citations

Peers

Massachusetts General Hospital
Comparison fields: 5 of 251
  • Aging 55.5k
  • Oncology 847.3k
  • Cognitive Neuroscience 591.9k
  • Molecular Biology 2.1M
  • Cancer Research 453.8k
Replace Brigham and Women's Hospital with:
Brigham and Women's Hospital United States
Johns Hopkins University United States
Boston University United States
Johns Hopkins Medicine United States
National Institutes of Health United States
Beth Israel Deaconess Medical Center United States
Albert Einstein College of Medicine United States
Icahn School of Medicine at Mount Sinai United States
Boston Children's Hospital United States
Tufts University United States
Massachusetts General Hospital relative to Brigham and Women's Hospital United States Brigham and Women's Hospital's profile →
Citations per field
00.5×3.2×
Brigham and Women's Hospital · 1×
Citations per year

Countries citing scholars working at Massachusetts General Hospital

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Massachusetts General Hospital. 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 Massachusetts General Hospital with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massachusetts General Hospital more than expected).

Fields of papers published by authors at Massachusetts General Hospital

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Massachusetts General Hospital 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 Massachusetts General Hospital at the time of their publication.

About Massachusetts General Hospital

In recent decades, authors affiliated with Massachusetts General Hospital have published 154.7k papers, which have received a total of 8.2M indexed citations . Scholars at this organization have produced 20.9k papers in Pulmonary and Respiratory Medicine, 14.4k papers in Radiology, Nuclear Medicine and Imaging, 16.4k papers in Oncology, 25.4k papers in Surgery and 8.5k papers in Neurology on the topics of Advanced MRI Techniques and Applications (3.0k papers), Functional Brain Connectivity Studies (2.9k papers), Immune Cell Function and Interaction (2.1k papers), Cardiac Imaging and Diagnostics (2.1k papers), Alzheimer's disease research and treatments (2.0k papers), Neuroscience and Neuropharmacology Research (2.0k papers), Cardiac, Anesthesia and Surgical Outcomes (2.0k papers) and Medical Imaging Techniques and Applications (2.0k papers). Their work is cited by papers focused on Aging (55.5k citations), Oncology (847.3k citations), Cognitive Neuroscience (591.9k citations), Molecular Biology (2.1M citations) and Cancer Research (453.8k citations). Authors at Massachusetts General Hospital collaborate with scholars in United States, United Kingdom and Canada and have published in prestigious journals including Journal of Clinical Oncology, New England Journal of Medicine, Proceedings of the National Academy of Sciences, PLoS ONE and International Journal of Radiation Oncology*Biology*Physics. Some of Massachusetts General Hospital's most productive authors include Rakesh K. Jain, Ralph Weissleder, Michael R. Hamblin, Bruce Fischl, Randy L. Buckner, Joseph Biederman, Bradley T. Hyman, Jack W. Szostak, Clifford J. Woolf and Anders M. Dale.

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.

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