University of Washington Medical Center

551.5k citations
11.9k papers ·

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
  • Genetics top 2%
    • Virus-based gene therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 170
    • Acute Myeloid Leukemia Research 167
    • Virus-based gene therapy research 215
    • BRCA gene mutations in cancer 194
    • Hemoglobinopathies and Related Disorders 167
    • Genomics and Rare Diseases 163

University of Washington Medical Center

10.3k papers receiving 475.4k citations

Peers

University of Washington Medical Center
Comparison fields: 5 of 247
  • Oncology 52.4k
  • Genetics 53.8k
  • Pulmonary and Respiratory Medicine 57.0k
  • Immunology 37.4k
  • Hematology 19.5k
Replace Cancer Research And Biostatistics with:
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University of Washington Medical Center relative to Cancer Research And Biostatistics United States Cancer Research And Biostatistics's profile →
Citations per field
00.5×1.5×
Cancer Research And Biostatistics · 1×
Citations per year

Countries citing scholars working at University of Washington Medical Center

Since Specialization
Citations

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

Fields of papers published by authors at University of Washington Medical Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with University of Washington Medical 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 University of Washington Medical Center at the time of their publication.

About University of Washington Medical Center

In recent decades, authors affiliated with University of Washington Medical Center have published 11.9k papers, which have received a total of 551.5k indexed citations . Scholars at this organization have produced 543 papers in Hematology, 478 papers in Genetics, 1.3k papers in Genetics, 1.4k papers in Pulmonary and Respiratory Medicine and 1.2k papers in Oncology on the topics of Virus-based gene therapy research (215 papers), CAR-T cell therapy research (205 papers), BRCA gene mutations in cancer (194 papers), Lymphoma Diagnosis and Treatment (190 papers), Hematopoietic Stem Cell Transplantation (170 papers), Acute Myeloid Leukemia Research (167 papers), Hemoglobinopathies and Related Disorders (167 papers) and Genomics and Rare Diseases (163 papers). Their work is cited by papers focused on Oncology (52.4k citations), Genetics (53.8k citations), Pulmonary and Respiratory Medicine (57.0k citations), Immunology (37.4k citations) and Hematology (19.5k citations). Authors at University of Washington Medical Center collaborate with scholars in United States, Canada and United Kingdom and have published in prestigious journals including Blood, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Gynecologic Oncology and American Journal of Roentgenology. Some of University of Washington Medical Center's most productive authors include Wayne Katon, Mark P. Jensen, Brian L. Browning, Ingegerd Hellström, Sharon R. Browning, Ganesh Raghu, Clement E. Furlong, Jill E. Clarridge, Karl Erik Hellström and George Stamatoyannopoulos.

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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