Dana-Farber/Harvard Cancer Center

716.7k citations
8.9k papers ·

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 522
    • Hematopoietic Stem Cell Transplantation 238
    • Cancer Immunotherapy and Biomarkers 340
    • Cancer survivorship and care 192

Dana-Farber/Harvard Cancer Center

8.7k papers receiving 716.2k citations

Peers

Dana-Farber/Harvard Cancer Center
Comparison fields: 5 of 246
  • Oncology 104.8k
  • Cancer Research 52.2k
  • Hematology 42k
  • Virology 13.5k
  • Molecular Biology 173.2k
Replace Merck & Co., Inc., Rahway, NJ, USA (United States) with:
Merck & Co., Inc., Rahway, NJ, USA (United States) United States
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Bristol-Myers Squibb (United States) United States
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Dana-Farber Brigham Cancer Center United States
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United States Food and Drug Administration United States
National Institute of Diabetes and Digestive and Kidney Diseases United States
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Dana-Farber/Harvard Cancer Center relative to Merck & Co., Inc., Rahway, NJ, USA (United States) United States Merck & Co., Inc., Rahway, NJ, USA (United States)'s profile →
Citations per field
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Merck & Co., Inc., Rahway, NJ, USA (United States) · 1×
Citations per year

Countries citing scholars working at Dana-Farber/Harvard Cancer Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Dana-Farber/Harvard Cancer Center. 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 Dana-Farber/Harvard Cancer Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana-Farber/Harvard Cancer Center more than expected).

Fields of papers published by authors at Dana-Farber/Harvard Cancer Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Dana-Farber/Harvard Cancer Center 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 Dana-Farber/Harvard Cancer Center at the time of their publication.

About Dana-Farber/Harvard Cancer Center

In recent decades, authors affiliated with Dana-Farber/Harvard Cancer Center have published 8.9k papers, which have received a total of 716.7k indexed citations . Scholars at this organization have produced 990 papers in Hematology, 1.4k papers in Oncology, 620 papers in Cancer Research, 341 papers in Genetics and 1.1k papers in Pulmonary and Respiratory Medicine on the topics of Multiple Myeloma Research and Treatments (522 papers), Cancer Immunotherapy and Biomarkers (340 papers), Breast Cancer Treatment Studies (295 papers), Prostate Cancer Treatment and Research (238 papers), Hematopoietic Stem Cell Transplantation (238 papers), T-cell and B-cell Immunology (232 papers), Cancer survivorship and care (192 papers) and Renal cell carcinoma treatment (189 papers). Their work is cited by papers focused on Oncology (104.8k citations), Cancer Research (52.2k citations), Hematology (42k citations), Virology (13.5k citations) and Molecular Biology (173.2k citations). Authors at Dana-Farber/Harvard Cancer Center collaborate with scholars in United States, United Kingdom and Italy and have published in prestigious journals including Blood, Annals of Oncology, International Journal of Radiation Oncology*Biology*Physics, Cancer and Clinical Cancer Research. Some of Dana-Farber/Harvard Cancer Center's most productive authors include Bruce M. Spiegelman, Albert-László Barabási, Kornélia Polyák, Kenneth Carl Anderson, X. Shirley Liu, Donald W. Kufe, Myles Brown, Martin E. Hemler, Harald von Boehmer and Cheng Li.

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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